diff --git a/.gitignore b/.gitignore
index a2f7e24..40ac1d7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,6 +3,10 @@ models/
 logs/
 .log
 *.log*  
+inputs.yaml
+config.yaml
+simulation_results/
+maml_results/
 
 # Byte-compiled / optimized / DLL files
 __pycache__/
diff --git a/config/default_config.yaml b/config/default_config.yaml
deleted file mode 100644
index 0519ecb..0000000
--- a/config/default_config.yaml
+++ /dev/null
@@ -1 +0,0 @@
- 
\ No newline at end of file
diff --git a/inputs.yaml b/inputs.yaml
deleted file mode 100644
index 57421d5..0000000
--- a/inputs.yaml
+++ /dev/null
@@ -1,1306 +0,0 @@
-agents:
-- change_resistance: 0.5867193224152383
-  communication_style:
-    assertiveness: 0.20696012638476963
-    cooperation: 0.1397070980082209
-    directness: 0.11470682114402038
-    emotional_expression: 0.6652403366367993
-    formality: 0.44103956541012707
-  conflict_tolerance: 0.54542289987987
-  emotional_traits:
-    baseline_mood: 0.46964731319527914
-    emotional_resilience: 0.7486432456322215
-    emotional_volatility: 0.5266402524068969
-    empathy: 0.614042184575287
-  id: agent_0
-  initial_status: 0.12525693952499237
-  name: Agent 0
-  personality:
-    agreeableness: 0.942430143831751
-    conscientiousness: 0.425739677748569
-    dominance: 0.5783237910992468
-    extraversion: 0.19415492478939594
-    neuroticism: 0.6464326484813825
-    openness: 0.7214813787172084
-    social_influence: 0.6143648621035844
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.3103628939601024
-  communication_style:
-    assertiveness: 0.5637761783907931
-    cooperation: 0.14684718536802757
-    directness: 0.46114696541852146
-    emotional_expression: 0.2674315241977023
-    formality: 0.5511088347286847
-  conflict_tolerance: 0.8004650674117763
-  emotional_traits:
-    baseline_mood: 0.09063779556003825
-    emotional_resilience: 0.48052640778907124
-    emotional_volatility: 0.7203220746732601
-    empathy: 0.857309202713206
-  id: agent_1
-  initial_status: 0.7223645940814228
-  name: Agent 1
-  personality:
-    agreeableness: 0.40112371111557976
-    conscientiousness: 0.28506904787270765
-    dominance: 0.3592611953552964
-    extraversion: 0.5434983021417809
-    neuroticism: 0.3879030025089147
-    openness: 0.7926608378968842
-    social_influence: 0.7811725186291757
-  preferred_group_size: 9
-  role: follower
-- change_resistance: 0.31345727367719417
-  communication_style:
-    assertiveness: 0.5337375347046139
-    cooperation: 0.7595124279665465
-    directness: 0.4544106993943452
-    emotional_expression: 0.7023129784139995
-    formality: 0.4684098106753153
-  conflict_tolerance: 0.6733045070000749
-  emotional_traits:
-    baseline_mood: 0.20731807282058531
-    emotional_resilience: 0.47832029708740753
-    emotional_volatility: 0.4271451161633017
-    empathy: 0.15145626563704934
-  id: agent_2
-  initial_status: 0.4745682614448726
-  name: Agent 2
-  personality:
-    agreeableness: 0.39222335664232033
-    conscientiousness: 0.37856323705865214
-    dominance: 0.8094446317747077
-    extraversion: 0.41034459411774044
-    neuroticism: 0.17681655724795126
-    openness: 0.20909237980132936
-    social_influence: 0.43165149579590956
-  preferred_group_size: 9
-  role: follower
-- change_resistance: 0.7478160883404358
-  communication_style:
-    assertiveness: 0.5331687553203028
-    cooperation: 0.42873057816324595
-    directness: 0.2236172101213388
-    emotional_expression: 0.33301505252561997
-    formality: 0.5758225279113222
-  conflict_tolerance: 0.4789369700331869
-  emotional_traits:
-    baseline_mood: -0.16879716416696552
-    emotional_resilience: 0.29799706582776775
-    emotional_volatility: 0.4657545296145002
-    empathy: 0.4529414038869476
-  id: agent_3
-  initial_status: 0.5333613506140972
-  name: Agent 3
-  personality:
-    agreeableness: 0.7376412986935393
-    conscientiousness: 0.7880049391348487
-    dominance: 0.4198894610418392
-    extraversion: 0.8626104291759609
-    neuroticism: 0.48002941727733006
-    openness: 0.5264593841554911
-    social_influence: 0.2966532775236479
-  preferred_group_size: 7
-  role: follower
-- change_resistance: 0.6000949572179766
-  communication_style:
-    assertiveness: 0.20619788686716703
-    cooperation: 0.8090364325690954
-    directness: 0.5491788421501759
-    emotional_expression: 0.41497438918260177
-    formality: 0.7416201467354717
-  conflict_tolerance: 0.8359766276036424
-  emotional_traits:
-    baseline_mood: 0.19416881478829456
-    emotional_resilience: 0.2501270652248424
-    emotional_volatility: 0.4945736126528102
-    empathy: 0.5242347284000884
-  id: agent_4
-  initial_status: 0.2301129845030287
-  name: Agent 4
-  personality:
-    agreeableness: 0.7519013959250503
-    conscientiousness: 0.21875251949424923
-    dominance: 0.47837125869028835
-    extraversion: 0.7944809472603144
-    neuroticism: 0.6868001893027194
-    openness: 0.29107184459823876
-    social_influence: 0.5400708576134908
-  preferred_group_size: 5
-  role: leader
-- change_resistance: 0.40838501686369927
-  communication_style:
-    assertiveness: 0.30361174291068893
-    cooperation: 0.552990044407965
-    directness: 0.25850880174973095
-    emotional_expression: 0.40627146447647833
-    formality: 0.4315568240469339
-  conflict_tolerance: 0.1990698608425352
-  emotional_traits:
-    baseline_mood: -0.28448925521468416
-    emotional_resilience: 0.6934908170357982
-    emotional_volatility: 0.5454539764900692
-    empathy: 0.09181599213828007
-  id: agent_5
-  initial_status: 0.3873753760492196
-  name: Agent 5
-  personality:
-    agreeableness: 0.2875918660422385
-    conscientiousness: 0.18968575943039193
-    dominance: 0.8384618343680551
-    extraversion: 0.09543638911386639
-    neuroticism: 0.31160010841744606
-    openness: 0.3211676741303565
-    social_influence: 0.5470908979752225
-  preferred_group_size: 5
-  role: follower
-- change_resistance: 0.5287619084939401
-  communication_style:
-    assertiveness: 0.3371528089649265
-    cooperation: 0.2742652222455175
-    directness: 0.4760539898206976
-    emotional_expression: 0.8693246575266756
-    formality: 0.19056767321407825
-  conflict_tolerance: 0.6003389141465905
-  emotional_traits:
-    baseline_mood: 0.5457017689570509
-    emotional_resilience: 0.3531906169988743
-    emotional_volatility: 0.4992667678204318
-    empathy: 0.4634074712983589
-  id: agent_6
-  initial_status: 0.8819090052311344
-  name: Agent 6
-  personality:
-    agreeableness: 0.3926481229365698
-    conscientiousness: 0.26563421657336767
-    dominance: 0.8050246237638443
-    extraversion: 0.6299511054698056
-    neuroticism: 0.5312933601278383
-    openness: 0.9815647417807466
-    social_influence: 0.5845971566327066
-  preferred_group_size: 7
-  role: observer
-- change_resistance: 0.44102981484854065
-  communication_style:
-    assertiveness: 0.581573909281083
-    cooperation: 0.7377878195552067
-    directness: 0.513229123399552
-    emotional_expression: 0.5320628283398171
-    formality: 0.5481343420151693
-  conflict_tolerance: 0.5320977039875833
-  emotional_traits:
-    baseline_mood: -0.37055717352765666
-    emotional_resilience: 0.38712443666349206
-    emotional_volatility: 0.5722427404736972
-    empathy: 0.9428912206511393
-  id: agent_7
-  initial_status: 0.7282472751823342
-  name: Agent 7
-  personality:
-    agreeableness: 0.17112657789698632
-    conscientiousness: 0.6796605393302634
-    dominance: 0.44361407986584744
-    extraversion: 0.36283887654039243
-    neuroticism: 0.7424550425227309
-    openness: 0.5321820645564456
-    social_influence: 0.5133778859475994
-  preferred_group_size: 2
-  role: follower
-- change_resistance: 0.6080345612905955
-  communication_style:
-    assertiveness: 0.3990558470627176
-    cooperation: 0.3190611580360555
-    directness: 0.1277973820125965
-    emotional_expression: 0.7854174588016966
-    formality: 0.8092077556298356
-  conflict_tolerance: 0.3236525501178085
-  emotional_traits:
-    baseline_mood: -0.04772609370294482
-    emotional_resilience: 0.7468787625441033
-    emotional_volatility: 0.3010576347461237
-    empathy: 0.3685704741092264
-  id: agent_8
-  initial_status: 0.577219894007642
-  name: Agent 8
-  personality:
-    agreeableness: 0.11912463214195854
-    conscientiousness: 0.3221124500744365
-    dominance: 0.18404223951850682
-    extraversion: 0.3547290109560487
-    neuroticism: 0.526138378204602
-    openness: 0.38521537038113807
-    social_influence: 0.36012111340440894
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.5618149002460467
-  communication_style:
-    assertiveness: 0.6576365466550037
-    cooperation: 0.14165084840153097
-    directness: 0.8752869226728489
-    emotional_expression: 0.2224229453299249
-    formality: 0.21953121324239727
-  conflict_tolerance: 0.9088797713077179
-  emotional_traits:
-    baseline_mood: 0.021990190021448582
-    emotional_resilience: 0.5724163837192763
-    emotional_volatility: 0.7443020026799648
-    empathy: 0.30821596769030396
-  id: agent_9
-  initial_status: 0.8912732972032312
-  name: Agent 9
-  personality:
-    agreeableness: 0.691662286958096
-    conscientiousness: 0.36300449323507245
-    dominance: 0.14184374696165322
-    extraversion: 0.34906370346592175
-    neuroticism: 0.6811274943603698
-    openness: 0.38108055863867973
-    social_influence: 0.4133254341698362
-  preferred_group_size: 3
-  role: observer
-- change_resistance: 0.8517099633908598
-  communication_style:
-    assertiveness: 0.9459146509931863
-    cooperation: 0.15281523315921722
-    directness: 0.5751877132792036
-    emotional_expression: 0.18144431254928722
-    formality: 0.661957363949793
-  conflict_tolerance: 0.37733564927018737
-  emotional_traits:
-    baseline_mood: 0.5773367734251088
-    emotional_resilience: 0.6784771741208597
-    emotional_volatility: 0.456490485283779
-    empathy: 0.19025625585769704
-  id: agent_10
-  initial_status: 0.7792749662669193
-  name: Agent 10
-  personality:
-    agreeableness: 0.39092344243980964
-    conscientiousness: 0.7429148646609626
-    dominance: 0.6576141552579172
-    extraversion: 0.21744051991317143
-    neuroticism: 0.24369822139266453
-    openness: 0.7640525525950851
-    social_influence: 0.6856547264833586
-  preferred_group_size: 8
-  role: follower
-- change_resistance: 0.6418874672225503
-  communication_style:
-    assertiveness: 0.3238152030572924
-    cooperation: 0.5405568314580838
-    directness: 0.22112830572372727
-    emotional_expression: 0.5271770817910738
-    formality: 0.33433930008020113
-  conflict_tolerance: 0.6461771594620384
-  emotional_traits:
-    baseline_mood: -0.2503590484264576
-    emotional_resilience: 0.3921857669128949
-    emotional_volatility: 0.23697639014246455
-    empathy: 0.5448875410897971
-  id: agent_11
-  initial_status: 0.48681118919788186
-  name: Agent 11
-  personality:
-    agreeableness: 0.6279646809181351
-    conscientiousness: 0.2596904107023087
-    dominance: 0.5611270025609704
-    extraversion: 0.5316563385858498
-    neuroticism: 0.47392642496025256
-    openness: 0.8558674168747451
-    social_influence: 0.6608900300870906
-  preferred_group_size: 2
-  role: mediator
-- change_resistance: 0.4762488830818486
-  communication_style:
-    assertiveness: 0.3674358326500366
-    cooperation: 0.4304845369013069
-    directness: 0.5921700282920538
-    emotional_expression: 0.39868581345127324
-    formality: 0.1304860669380139
-  conflict_tolerance: 0.07315601950275671
-  emotional_traits:
-    baseline_mood: 0.15805405136934608
-    emotional_resilience: 0.15322080467110924
-    emotional_volatility: 0.4532720636439682
-    empathy: 0.5374419230897957
-  id: agent_12
-  initial_status: 0.7330834876373538
-  name: Agent 12
-  personality:
-    agreeableness: 0.3095653609592462
-    conscientiousness: 0.5506855922431131
-    dominance: 0.24114907425110585
-    extraversion: 0.7862775214478825
-    neuroticism: 0.8687596308777167
-    openness: 0.907078231631497
-    social_influence: 0.24255579441103384
-  preferred_group_size: 9
-  role: mediator
-- change_resistance: 0.3161894690120691
-  communication_style:
-    assertiveness: 0.2640400781641487
-    cooperation: 0.8388127421942265
-    directness: 0.3067569405748667
-    emotional_expression: 0.6699168954248913
-    formality: 0.6623294584468224
-  conflict_tolerance: 0.3862116903203051
-  emotional_traits:
-    baseline_mood: 0.07555820483248316
-    emotional_resilience: 0.3593981357863402
-    emotional_volatility: 0.26219064294471517
-    empathy: 0.5265568120385622
-  id: agent_13
-  initial_status: 0.14098035503303594
-  name: Agent 13
-  personality:
-    agreeableness: 0.2397921426437227
-    conscientiousness: 0.6174878180865706
-    dominance: 0.5858065222034589
-    extraversion: 0.7058632464536357
-    neuroticism: 0.6119195880927574
-    openness: 0.25566097586786934
-    social_influence: 0.34676645492715835
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.28535199980624654
-  communication_style:
-    assertiveness: 0.405167245301659
-    cooperation: 0.3459946109686177
-    directness: 0.642180634748469
-    emotional_expression: 0.40901010880230393
-    formality: 0.324203729816383
-  conflict_tolerance: 0.31287555863638916
-  emotional_traits:
-    baseline_mood: 0.005088054336466781
-    emotional_resilience: 0.21764594359714687
-    emotional_volatility: 0.5348398612076182
-    empathy: 0.4548709446599474
-  id: agent_14
-  initial_status: 0.7768690008467012
-  name: Agent 14
-  personality:
-    agreeableness: 0.09656307113505781
-    conscientiousness: 0.7731861398918983
-    dominance: 0.49894897770240443
-    extraversion: 0.1831687018771769
-    neuroticism: 0.38191753280121427
-    openness: 0.33435591140480186
-    social_influence: 0.2359203607667891
-  preferred_group_size: 7
-  role: mediator
-- change_resistance: 0.6299906257562314
-  communication_style:
-    assertiveness: 0.6953287245610578
-    cooperation: 0.521029214787579
-    directness: 0.8804020014157529
-    emotional_expression: 0.5888737594788427
-    formality: 0.028104011737971613
-  conflict_tolerance: 0.48879998808269653
-  emotional_traits:
-    baseline_mood: 0.4150578171661099
-    emotional_resilience: 0.4649995951308184
-    emotional_volatility: 0.03158875997155807
-    empathy: 0.6526746208116031
-  id: agent_15
-  initial_status: 0.4671815438576546
-  name: Agent 15
-  personality:
-    agreeableness: 0.4478850556928262
-    conscientiousness: 0.22171194483593157
-    dominance: 0.43012327003914824
-    extraversion: 0.4558994293438046
-    neuroticism: 0.6405970108211962
-    openness: 0.8794472027245065
-    social_influence: 0.6884323162771893
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.7487751891643857
-  communication_style:
-    assertiveness: 0.5482259392347413
-    cooperation: 0.6763719676482085
-    directness: 0.4134138256743086
-    emotional_expression: 0.3251349675389706
-    formality: 0.0452035258068526
-  conflict_tolerance: 0.3140819111004451
-  emotional_traits:
-    baseline_mood: 0.5619648230329983
-    emotional_resilience: 0.398823698444061
-    emotional_volatility: 0.7115205815411457
-    empathy: 0.40524244487047145
-  id: agent_16
-  initial_status: 0.6642838624438793
-  name: Agent 16
-  personality:
-    agreeableness: 0.11593009178628197
-    conscientiousness: 0.2471599790087455
-    dominance: 0.2080304059576302
-    extraversion: 0.7007229867197637
-    neuroticism: 0.3354919590524741
-    openness: 0.24150057480001122
-    social_influence: 0.31070850445140974
-  preferred_group_size: 7
-  role: follower
-- change_resistance: 0.6182562562774684
-  communication_style:
-    assertiveness: 0.43714481681180356
-    cooperation: 0.2490692657405973
-    directness: 0.6030186855932426
-    emotional_expression: 0.9351309596268628
-    formality: 0.2502145784573236
-  conflict_tolerance: 0.09215540948868176
-  emotional_traits:
-    baseline_mood: 0.6182747935428203
-    emotional_resilience: 0.31604108686733356
-    emotional_volatility: 0.8433688455518491
-    empathy: 0.4525564807490405
-  id: agent_17
-  initial_status: 0.651516485815435
-  name: Agent 17
-  personality:
-    agreeableness: 0.5774040878425845
-    conscientiousness: 0.5234909998197748
-    dominance: 0.6514650929489073
-    extraversion: 0.3184115916092068
-    neuroticism: 0.802312994844741
-    openness: 0.2587556051215458
-    social_influence: 0.6061143141917917
-  preferred_group_size: 8
-  role: follower
-- change_resistance: 0.4161964270171561
-  communication_style:
-    assertiveness: 0.6161477164850769
-    cooperation: 0.770318934153996
-    directness: 0.7987166477284394
-    emotional_expression: 0.802005554181804
-    formality: 0.7021412574312067
-  conflict_tolerance: 0.4354734403411629
-  emotional_traits:
-    baseline_mood: -0.07691909438125014
-    emotional_resilience: 0.44683094431233716
-    emotional_volatility: 0.7677364781959135
-    empathy: 0.5444771517282209
-  id: agent_18
-  initial_status: 0.5791811123243058
-  name: Agent 18
-  personality:
-    agreeableness: 0.43069942262123484
-    conscientiousness: 0.3705090319086029
-    dominance: 0.5455178813555805
-    extraversion: 0.6238327011465921
-    neuroticism: 0.37498470166127906
-    openness: 0.8178898608566456
-    social_influence: 0.5581645847097659
-  preferred_group_size: 4
-  role: mediator
-- change_resistance: 0.8039613244688264
-  communication_style:
-    assertiveness: 0.7034139784918649
-    cooperation: 0.3941258748439939
-    directness: 0.5207014079787233
-    emotional_expression: 0.8256433478648766
-    formality: 0.4084552062978528
-  conflict_tolerance: 0.3053375145750793
-  emotional_traits:
-    baseline_mood: 0.13715833197766217
-    emotional_resilience: 0.33603810773605136
-    emotional_volatility: 0.15772081022487053
-    empathy: 0.549999357749873
-  id: agent_19
-  initial_status: 0.730971705172941
-  name: Agent 19
-  personality:
-    agreeableness: 0.12804148926023043
-    conscientiousness: 0.8418363694905869
-    dominance: 0.8487464376802389
-    extraversion: 0.2857703583917341
-    neuroticism: 0.38347379888131944
-    openness: 0.5474571016613713
-    social_influence: 0.7563077840851214
-  preferred_group_size: 5
-  role: influencer
-- change_resistance: 0.545162349927619
-  communication_style:
-    assertiveness: 0.3816245403938882
-    cooperation: 0.2673786191442004
-    directness: 0.9168290291915167
-    emotional_expression: 0.5413110174183907
-    formality: 0.5248931594954028
-  conflict_tolerance: 0.24066004145307376
-  emotional_traits:
-    baseline_mood: 0.7393032798127133
-    emotional_resilience: 0.24290695141768393
-    emotional_volatility: 0.39197627053939543
-    empathy: 0.6284796917822904
-  id: agent_20
-  initial_status: 0.28956162640728633
-  name: Agent 20
-  personality:
-    agreeableness: 0.22890261633815032
-    conscientiousness: 0.5533705024070461
-    dominance: 0.8058685728934314
-    extraversion: 0.46922372106756355
-    neuroticism: 0.6416908254047641
-    openness: 0.4963659972377963
-    social_influence: 0.6429318533366081
-  preferred_group_size: 4
-  role: follower
-- change_resistance: 0.15913456163977682
-  communication_style:
-    assertiveness: 0.36259860157800033
-    cooperation: 0.7826163780040103
-    directness: 0.6967687194651396
-    emotional_expression: 0.8513511200050856
-    formality: 0.9636794592296919
-  conflict_tolerance: 0.8434030658959475
-  emotional_traits:
-    baseline_mood: 0.3460748003061458
-    emotional_resilience: 0.6772343084571332
-    emotional_volatility: 0.46711918161767324
-    empathy: 0.48373531027400507
-  id: agent_21
-  initial_status: 0.5208148394553069
-  name: Agent 21
-  personality:
-    agreeableness: 0.9343151591281309
-    conscientiousness: 0.2186615710628209
-    dominance: 0.6269148793577936
-    extraversion: 0.8191950709780639
-    neuroticism: 0.615502260419758
-    openness: 0.701633399772604
-    social_influence: 0.1937343601844087
-  preferred_group_size: 5
-  role: observer
-- change_resistance: 0.5595921753346015
-  communication_style:
-    assertiveness: 0.42160282957313167
-    cooperation: 0.45904999251161693
-    directness: 0.3883732494911314
-    emotional_expression: 0.3363169944097665
-    formality: 0.22197760319917395
-  conflict_tolerance: 0.3416628351004865
-  emotional_traits:
-    baseline_mood: 0.46118670625514707
-    emotional_resilience: 0.5767959551292391
-    emotional_volatility: 0.36861483956028995
-    empathy: 0.0367826006442131
-  id: agent_22
-  initial_status: 0.38079218625488154
-  name: Agent 22
-  personality:
-    agreeableness: 0.4336497916887281
-    conscientiousness: 0.6617374708127309
-    dominance: 0.31349323823934766
-    extraversion: 0.07334601878159837
-    neuroticism: 0.8016177925672515
-    openness: 0.46667409241653274
-    social_influence: 0.4028582202043072
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.9357075753461244
-  communication_style:
-    assertiveness: 0.7246754785139167
-    cooperation: 0.5226715836962273
-    directness: 0.930546418519252
-    emotional_expression: 0.7896055233309217
-    formality: 0.14121723642845121
-  conflict_tolerance: 0.5856629427127563
-  emotional_traits:
-    baseline_mood: 0.7666674334572524
-    emotional_resilience: 0.6019676728759137
-    emotional_volatility: 0.6470448032002196
-    empathy: 0.44250829152576415
-  id: agent_23
-  initial_status: 0.43216046776970296
-  name: Agent 23
-  personality:
-    agreeableness: 0.5323701077481956
-    conscientiousness: 0.23781292496114384
-    dominance: 0.36057026760699384
-    extraversion: 0.4511928763093103
-    neuroticism: 0.46485698358361893
-    openness: 0.8360392537159209
-    social_influence: 0.6669197040365432
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.31653070991348264
-  communication_style:
-    assertiveness: 0.4211164908434023
-    cooperation: 0.20721368706951918
-    directness: 0.2945929260732957
-    emotional_expression: 0.47305649254506316
-    formality: 0.9742341826403419
-  conflict_tolerance: 0.5111818906010392
-  emotional_traits:
-    baseline_mood: -0.05351787572329103
-    emotional_resilience: 0.42107135409564905
-    emotional_volatility: 0.7741907644024578
-    empathy: 0.40145463151685157
-  id: agent_24
-  initial_status: 0.422185223030185
-  name: Agent 24
-  personality:
-    agreeableness: 0.4323597104425078
-    conscientiousness: 0.3545267557853979
-    dominance: 0.8546442302958073
-    extraversion: 0.30610723204610085
-    neuroticism: 0.24610422340646557
-    openness: 0.5182313280973718
-    social_influence: 0.7138305925371524
-  preferred_group_size: 2
-  role: mediator
-- change_resistance: 0.719631687423695
-  communication_style:
-    assertiveness: 0.46750732665918177
-    cooperation: 0.010947533022915333
-    directness: 0.1267625500631369
-    emotional_expression: 0.14231056172797815
-    formality: 0.5402529109680584
-  conflict_tolerance: 0.7903860555150313
-  emotional_traits:
-    baseline_mood: 0.16453239247930157
-    emotional_resilience: 0.5624563237498612
-    emotional_volatility: 0.7057239645915439
-    empathy: 0.3197475651189449
-  id: agent_25
-  initial_status: 0.6038016533748121
-  name: Agent 25
-  personality:
-    agreeableness: 0.32173235860223787
-    conscientiousness: 0.6891335313637533
-    dominance: 0.4400495188131956
-    extraversion: 0.8070503938919621
-    neuroticism: 0.7838919369122631
-    openness: 0.14412341307012638
-    social_influence: 0.24317216604523925
-  preferred_group_size: 4
-  role: influencer
-- change_resistance: 0.859686594420055
-  communication_style:
-    assertiveness: 0.29444064895916894
-    cooperation: 0.6389172438363842
-    directness: 0.13703505109740038
-    emotional_expression: 0.25845699577415027
-    formality: 0.5172307718651696
-  conflict_tolerance: 0.3615389810831181
-  emotional_traits:
-    baseline_mood: -0.10027741491530165
-    emotional_resilience: 0.45894522669701454
-    emotional_volatility: 0.08569214778508022
-    empathy: 0.5575381817370128
-  id: agent_26
-  initial_status: 0.6157815918904048
-  name: Agent 26
-  personality:
-    agreeableness: 0.4210488267094741
-    conscientiousness: 0.5716535598979688
-    dominance: 0.5802813406028146
-    extraversion: 0.6040324034386297
-    neuroticism: 0.7464750472892137
-    openness: 0.4869971903923797
-    social_influence: 0.4396083704670331
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.740360501849471
-  communication_style:
-    assertiveness: 0.5913223994072085
-    cooperation: 0.6472944601182541
-    directness: 0.7548907607675334
-    emotional_expression: 0.3395141345950454
-    formality: 0.2149236152030521
-  conflict_tolerance: 0.14100683581887932
-  emotional_traits:
-    baseline_mood: 0.6185567635491233
-    emotional_resilience: 0.8027220563753832
-    emotional_volatility: 0.33923530544796643
-    empathy: 0.25418710230380964
-  id: agent_27
-  initial_status: 0.5765549479959438
-  name: Agent 27
-  personality:
-    agreeableness: 0.5878488717362506
-    conscientiousness: 0.5637904820709176
-    dominance: 0.47176633071763474
-    extraversion: 0.7531059673647614
-    neuroticism: 0.4917714285987845
-    openness: 0.9083514990537281
-    social_influence: 0.7810942714755538
-  preferred_group_size: 6
-  role: influencer
-- change_resistance: 0.6371937315770139
-  communication_style:
-    assertiveness: 0.6685422265380355
-    cooperation: 0.24994375371877092
-    directness: 0.49914380755400267
-    emotional_expression: 0.609851943971191
-    formality: 0.7190151828029645
-  conflict_tolerance: 0.768894168504676
-  emotional_traits:
-    baseline_mood: 0.394237748352948
-    emotional_resilience: 0.7976197002539357
-    emotional_volatility: 0.5352616153579351
-    empathy: 0.7262120750799822
-  id: agent_28
-  initial_status: 0.46559010579655646
-  name: Agent 28
-  personality:
-    agreeableness: 0.1159018632845885
-    conscientiousness: 0.4598549368050644
-    dominance: 0.6520771754417317
-    extraversion: 0.7883183698401142
-    neuroticism: 0.4767780660495447
-    openness: 0.6395897553967022
-    social_influence: 0.6485857183321136
-  preferred_group_size: 8
-  role: follower
-- change_resistance: 0.8785083702119652
-  communication_style:
-    assertiveness: 0.5841188094049902
-    cooperation: 0.331313821123913
-    directness: 0.19895712055335169
-    emotional_expression: 0.6174116424438384
-    formality: 0.2534127436904086
-  conflict_tolerance: 0.6588581900529403
-  emotional_traits:
-    baseline_mood: 0.14036519361571342
-    emotional_resilience: 0.5666000969621142
-    emotional_volatility: 0.784752190670011
-    empathy: 0.2714168101669738
-  id: agent_29
-  initial_status: 0.2586740412757577
-  name: Agent 29
-  personality:
-    agreeableness: 0.6306629205901142
-    conscientiousness: 0.5929647875551074
-    dominance: 0.4856716956711994
-    extraversion: 0.9293735209164844
-    neuroticism: 0.734524442700092
-    openness: 0.8145988497014458
-    social_influence: 0.4907723628680069
-  preferred_group_size: 2
-  role: follower
-- change_resistance: 0.35741502125281127
-  communication_style:
-    assertiveness: 0.5747121090515496
-    cooperation: 0.4249891634948827
-    directness: 0.3054925434050029
-    emotional_expression: 0.47281459588907104
-    formality: 0.7419993913334584
-  conflict_tolerance: 0.4764920983706327
-  emotional_traits:
-    baseline_mood: 0.24688698402777084
-    emotional_resilience: 0.4125991097842895
-    emotional_volatility: 0.1313639519545919
-    empathy: 0.33126986535612407
-  id: agent_30
-  initial_status: 0.7905342927594047
-  name: Agent 30
-  personality:
-    agreeableness: 0.675695025450152
-    conscientiousness: 0.5854320564880703
-    dominance: 0.48279863165730713
-    extraversion: 0.2775215536236698
-    neuroticism: 0.3029637525250397
-    openness: 0.7935776375738363
-    social_influence: 0.41443509387876193
-  preferred_group_size: 2
-  role: mediator
-- change_resistance: 0.6705163013710753
-  communication_style:
-    assertiveness: 0.8333766656906582
-    cooperation: 0.8232670438049331
-    directness: 0.41858643935608136
-    emotional_expression: 0.24749502860501507
-    formality: 0.6143937169871254
-  conflict_tolerance: 0.7504062270449174
-  emotional_traits:
-    baseline_mood: 0.24333992066673277
-    emotional_resilience: 0.3608194188149809
-    emotional_volatility: 0.24416869840085795
-    empathy: 0.3575908390527984
-  id: agent_31
-  initial_status: 0.25937590769681773
-  name: Agent 31
-  personality:
-    agreeableness: 0.9257900552827715
-    conscientiousness: 0.12627035853281016
-    dominance: 0.5438299813071513
-    extraversion: 0.5313214321415489
-    neuroticism: 0.5317797411013556
-    openness: 0.548484242596534
-    social_influence: 0.20173223517614472
-  preferred_group_size: 9
-  role: follower
-- change_resistance: 0.6332652575430813
-  communication_style:
-    assertiveness: 0.2620418141958702
-    cooperation: 0.8371115111260168
-    directness: 0.39496053164267036
-    emotional_expression: 0.2507550324161669
-    formality: 0.6142307533860454
-  conflict_tolerance: 0.5939694736852724
-  emotional_traits:
-    baseline_mood: 0.7099798607073268
-    emotional_resilience: 0.8288535855597784
-    emotional_volatility: 0.25202431678342324
-    empathy: 0.7788424795331848
-  id: agent_32
-  initial_status: 0.640316478450716
-  name: Agent 32
-  personality:
-    agreeableness: 0.6151087479355776
-    conscientiousness: 0.9159204744988899
-    dominance: 0.7862757695397397
-    extraversion: 0.5428478657439454
-    neuroticism: 0.2399812277196145
-    openness: 0.3117776436356494
-    social_influence: 0.22833386373482845
-  preferred_group_size: 2
-  role: observer
-- change_resistance: 0.6015319767798314
-  communication_style:
-    assertiveness: 0.4152605520120287
-    cooperation: 0.20881745189641757
-    directness: 0.5305904296544918
-    emotional_expression: 0.2734783237998775
-    formality: 0.2885122701074513
-  conflict_tolerance: 0.32775542130793134
-  emotional_traits:
-    baseline_mood: -0.2813417335816846
-    emotional_resilience: 0.4564678339985475
-    emotional_volatility: 0.3434800902952439
-    empathy: 0.4921067469444873
-  id: agent_33
-  initial_status: 0.8692357429989974
-  name: Agent 33
-  personality:
-    agreeableness: 0.535730764415237
-    conscientiousness: 0.17170303875827958
-    dominance: 0.16977390081831262
-    extraversion: 0.6367709419694811
-    neuroticism: 0.295556093869322
-    openness: 0.7274941831482912
-    social_influence: 0.8032202099639394
-  preferred_group_size: 4
-  role: follower
-- change_resistance: 0.1891027083295026
-  communication_style:
-    assertiveness: 0.5588944261347845
-    cooperation: 0.3520251108682459
-    directness: 0.3928396002780688
-    emotional_expression: 0.4722385119391507
-    formality: 0.8625624187336572
-  conflict_tolerance: 0.30647380332809737
-  emotional_traits:
-    baseline_mood: 0.3636165487308609
-    emotional_resilience: 0.6439791211788974
-    emotional_volatility: 0.5856448820554981
-    empathy: 0.3957320593282471
-  id: agent_34
-  initial_status: 0.3510155500313605
-  name: Agent 34
-  personality:
-    agreeableness: 0.20810001467672243
-    conscientiousness: 0.4917024596073392
-    dominance: 0.5678708641095428
-    extraversion: 0.5981438242153768
-    neuroticism: 0.42953793402628354
-    openness: 0.4967261230591898
-    social_influence: 0.5567798771499356
-  preferred_group_size: 7
-  role: follower
-- change_resistance: 0.5348041605935541
-  communication_style:
-    assertiveness: 0.7735440608421927
-    cooperation: 0.24114825246174182
-    directness: 0.08772265935962192
-    emotional_expression: 0.5844039155543966
-    formality: 0.5568146204076615
-  conflict_tolerance: 0.7582098003442712
-  emotional_traits:
-    baseline_mood: -0.20260989539858026
-    emotional_resilience: 0.7183801606505035
-    emotional_volatility: 0.5197259510113492
-    empathy: 0.3300535992481929
-  id: agent_35
-  initial_status: 0.42485601025344594
-  name: Agent 35
-  personality:
-    agreeableness: 0.5672769615689321
-    conscientiousness: 0.3711051050683324
-    dominance: 0.6618272849072295
-    extraversion: 0.5459486272150513
-    neuroticism: 0.8942179502362286
-    openness: 0.40538673846307016
-    social_influence: 0.5012147286354054
-  preferred_group_size: 9
-  role: follower
-- change_resistance: 0.7158862389625607
-  communication_style:
-    assertiveness: 0.6679431516002532
-    cooperation: 0.8993562206776713
-    directness: 0.3825281131973417
-    emotional_expression: 0.11319910550613518
-    formality: 0.3245082391260845
-  conflict_tolerance: 0.6574528295434398
-  emotional_traits:
-    baseline_mood: 0.4679192194429458
-    emotional_resilience: 0.14504168628417335
-    emotional_volatility: 0.383101728287496
-    empathy: 0.8041507255759787
-  id: agent_36
-  initial_status: 0.6685247546683836
-  name: Agent 36
-  personality:
-    agreeableness: 0.625412380014973
-    conscientiousness: 0.4648991731277937
-    dominance: 0.898062504108458
-    extraversion: 0.30159916637242
-    neuroticism: 0.44148882531371
-    openness: 0.2789734705151936
-    social_influence: 0.5590266772559003
-  preferred_group_size: 8
-  role: mediator
-- change_resistance: 0.09894352412782784
-  communication_style:
-    assertiveness: 0.45484735896053785
-    cooperation: 0.33018899092784154
-    directness: 0.2713427665291091
-    emotional_expression: 0.7457205279403362
-    formality: 0.6286116790762731
-  conflict_tolerance: 0.9327147417975801
-  emotional_traits:
-    baseline_mood: 0.2217174792704571
-    emotional_resilience: 0.5220251722532424
-    emotional_volatility: 0.16350049339719458
-    empathy: 0.28031292726640933
-  id: agent_37
-  initial_status: 0.32054943389583485
-  name: Agent 37
-  personality:
-    agreeableness: 0.9639244070175546
-    conscientiousness: 0.17471499714964592
-    dominance: 0.547478667652311
-    extraversion: 0.20314300180852118
-    neuroticism: 0.7396467394441587
-    openness: 0.17439475048413278
-    social_influence: 0.8412723707620685
-  preferred_group_size: 4
-  role: mediator
-- change_resistance: 0.6172849828153549
-  communication_style:
-    assertiveness: 0.12669717891218932
-    cooperation: 0.2763706442460226
-    directness: 0.33165643108586906
-    emotional_expression: 0.6377866367751039
-    formality: 0.7599808909263895
-  conflict_tolerance: 0.22512828706532592
-  emotional_traits:
-    baseline_mood: 0.05177554014260714
-    emotional_resilience: 0.6850624853785611
-    emotional_volatility: 0.754151246518641
-    empathy: 0.3103903289844773
-  id: agent_38
-  initial_status: 0.45932840738017255
-  name: Agent 38
-  personality:
-    agreeableness: 0.6299616199035152
-    conscientiousness: 0.03885462963981533
-    dominance: 0.33689495284851295
-    extraversion: 0.17972118913310792
-    neuroticism: 0.3675194832982932
-    openness: 0.7149857417758618
-    social_influence: 0.4954929217142161
-  preferred_group_size: 5
-  role: follower
-- change_resistance: 0.3677890685269108
-  communication_style:
-    assertiveness: 0.5134556758387784
-    cooperation: 0.6504594829815988
-    directness: 0.39586882630215786
-    emotional_expression: 0.1879291581653274
-    formality: 0.7335435739161416
-  conflict_tolerance: 0.9153090367807303
-  emotional_traits:
-    baseline_mood: 0.08961884378880426
-    emotional_resilience: 0.543599184495156
-    emotional_volatility: 0.6870396575775196
-    empathy: 0.37982886421646916
-  id: agent_39
-  initial_status: 0.4373945371295424
-  name: Agent 39
-  personality:
-    agreeableness: 0.35614698414928964
-    conscientiousness: 0.12340650061357901
-    dominance: 0.5951255811687608
-    extraversion: 0.5019700012704228
-    neuroticism: 0.3738864315564477
-    openness: 0.6458315416773142
-    social_influence: 0.45201855832844917
-  preferred_group_size: 6
-  role: observer
-- change_resistance: 0.8604040588690491
-  communication_style:
-    assertiveness: 0.5528596779774416
-    cooperation: 0.7305025885501422
-    directness: 0.6066138422802725
-    emotional_expression: 0.6889972445621922
-    formality: 0.39756164214891115
-  conflict_tolerance: 0.2684229538276753
-  emotional_traits:
-    baseline_mood: 0.6549879339879425
-    emotional_resilience: 0.5393551858224214
-    emotional_volatility: 0.6142709742265245
-    empathy: 0.41635614952666616
-  id: agent_40
-  initial_status: 0.4100913154036252
-  name: Agent 40
-  personality:
-    agreeableness: 0.049392984624261164
-    conscientiousness: 0.49600717873142436
-    dominance: 0.5333206686007763
-    extraversion: 0.8529095540701994
-    neuroticism: 0.1080952110952582
-    openness: 0.5769454398855164
-    social_influence: 0.9504729771369949
-  preferred_group_size: 5
-  role: follower
-- change_resistance: 0.13705726206805915
-  communication_style:
-    assertiveness: 0.3110215393938962
-    cooperation: 0.21344003239372555
-    directness: 0.39943795832090356
-    emotional_expression: 0.4514828724606054
-    formality: 0.7367037942287272
-  conflict_tolerance: 0.8890983670431645
-  emotional_traits:
-    baseline_mood: 0.15219481946449093
-    emotional_resilience: 0.5131202104612744
-    emotional_volatility: 0.25526814355175037
-    empathy: 0.5025605531719387
-  id: agent_41
-  initial_status: 0.8618920800614959
-  name: Agent 41
-  personality:
-    agreeableness: 0.2931348456191293
-    conscientiousness: 0.2762007942194398
-    dominance: 0.03581409222356553
-    extraversion: 0.9563658576504038
-    neuroticism: 0.33888331956682144
-    openness: 0.35719744841726303
-    social_influence: 0.41343021058968943
-  preferred_group_size: 8
-  role: mediator
-- change_resistance: 0.6899708665405797
-  communication_style:
-    assertiveness: 0.5127446478041476
-    cooperation: 0.5631407837663658
-    directness: 0.7388209026883809
-    emotional_expression: 0.28004862402672975
-    formality: 0.18789234932480992
-  conflict_tolerance: 0.6743974279021212
-  emotional_traits:
-    baseline_mood: 0.032660526972714723
-    emotional_resilience: 0.20792687105015722
-    emotional_volatility: 0.33546838227852865
-    empathy: 0.7079519183103102
-  id: agent_42
-  initial_status: 0.126974522880329
-  name: Agent 42
-  personality:
-    agreeableness: 0.3554374334894323
-    conscientiousness: 0.8349951482436625
-    dominance: 0.8022143402232714
-    extraversion: 0.505554321903518
-    neuroticism: 0.2917738906452593
-    openness: 0.7591560682416852
-    social_influence: 0.6105387077362754
-  preferred_group_size: 2
-  role: mediator
-- change_resistance: 0.2867480877220588
-  communication_style:
-    assertiveness: 0.38977090529637815
-    cooperation: 0.5953896907436866
-    directness: 0.44756857594961014
-    emotional_expression: 0.37630719901603765
-    formality: 0.07021927901924017
-  conflict_tolerance: 0.10919535654898634
-  emotional_traits:
-    baseline_mood: 0.21827729494195144
-    emotional_resilience: 0.6015328340744089
-    emotional_volatility: 0.6515011709410863
-    empathy: 0.8881876962142343
-  id: agent_43
-  initial_status: 0.7060755908627828
-  name: Agent 43
-  personality:
-    agreeableness: 0.7004428815390329
-    conscientiousness: 0.5742465976796596
-    dominance: 0.7307016563800558
-    extraversion: 0.6876438653102875
-    neuroticism: 0.5026621408536396
-    openness: 0.4999950434946504
-    social_influence: 0.6368729134144084
-  preferred_group_size: 7
-  role: follower
-- change_resistance: 0.37290255127521604
-  communication_style:
-    assertiveness: 0.7782724879834092
-    cooperation: 0.5795225462563361
-    directness: 0.5828396557182665
-    emotional_expression: 0.6828048132703781
-    formality: 0.25580988943016497
-  conflict_tolerance: 0.005223694529917275
-  emotional_traits:
-    baseline_mood: 0.06755154898571404
-    emotional_resilience: 0.6061065421351538
-    emotional_volatility: 0.27078832461968305
-    empathy: 0.7860432101499871
-  id: agent_44
-  initial_status: 0.8297583532798555
-  name: Agent 44
-  personality:
-    agreeableness: 0.3011771680056393
-    conscientiousness: 0.3018152950584909
-    dominance: 0.5512748706327618
-    extraversion: 0.5101421350475712
-    neuroticism: 0.6113784745858885
-    openness: 0.18107630235544317
-    social_influence: 0.24489666710298377
-  preferred_group_size: 6
-  role: follower
-- change_resistance: 0.2630312281771486
-  communication_style:
-    assertiveness: 0.7235893390991932
-    cooperation: 0.6104953870359968
-    directness: 0.8010676890114279
-    emotional_expression: 0.6907231262962344
-    formality: 0.8162639906303378
-  conflict_tolerance: 0.6038163841379021
-  emotional_traits:
-    baseline_mood: 0.4711721922458286
-    emotional_resilience: 0.906639455084451
-    emotional_volatility: 0.7674114810135341
-    empathy: 0.8056430772352906
-  id: agent_45
-  initial_status: 0.7552760570347719
-  name: Agent 45
-  personality:
-    agreeableness: 0.8028250534623963
-    conscientiousness: 0.15576064624621083
-    dominance: 0.5335103799760651
-    extraversion: 0.4795678715132362
-    neuroticism: 0.4144174156643006
-    openness: 0.5983568205459455
-    social_influence: 0.8455233435130309
-  preferred_group_size: 4
-  role: follower
-- change_resistance: 0.6786954333153977
-  communication_style:
-    assertiveness: 0.22906553743303654
-    cooperation: 0.26633609595900287
-    directness: 0.5750222401284961
-    emotional_expression: 0.7394366922561205
-    formality: 0.7401877011782256
-  conflict_tolerance: 0.4312085614583451
-  emotional_traits:
-    baseline_mood: 0.7054269364898059
-    emotional_resilience: 0.12223743899766015
-    emotional_volatility: 0.6689795543028332
-    empathy: 0.5599571755289654
-  id: agent_46
-  initial_status: 0.33033322879658356
-  name: Agent 46
-  personality:
-    agreeableness: 0.34025556519271094
-    conscientiousness: 0.4721612762944663
-    dominance: 0.7540162608878354
-    extraversion: 0.06831556184364959
-    neuroticism: 0.6687122734305436
-    openness: 0.33288396432419787
-    social_influence: 0.5651017631778781
-  preferred_group_size: 8
-  role: follower
-- change_resistance: 0.5197205437195103
-  communication_style:
-    assertiveness: 0.3766072924198021
-    cooperation: 0.39060865945117856
-    directness: 0.5047066704343208
-    emotional_expression: 0.5221046638977216
-    formality: 0.3156113584075212
-  conflict_tolerance: 0.469008870646362
-  emotional_traits:
-    baseline_mood: 0.6899641708063555
-    emotional_resilience: 0.3662580304422813
-    emotional_volatility: 0.4426845396306787
-    empathy: 0.27054933105781404
-  id: agent_47
-  initial_status: 0.6434023832450655
-  name: Agent 47
-  personality:
-    agreeableness: 0.6793985145975461
-    conscientiousness: 0.16157830322407438
-    dominance: 0.7792677699524685
-    extraversion: 0.013518332867062704
-    neuroticism: 0.2653577133251618
-    openness: 0.4529433006383692
-    social_influence: 0.5888382769946138
-  preferred_group_size: 6
-  role: influencer
-- change_resistance: 0.6717554663051813
-  communication_style:
-    assertiveness: 0.19936991763044354
-    cooperation: 0.3727648309001029
-    directness: 0.6895576557792341
-    emotional_expression: 0.12992752275899905
-    formality: 0.45360393957002715
-  conflict_tolerance: 0.7264827670507648
-  emotional_traits:
-    baseline_mood: -0.20046944569586378
-    emotional_resilience: 0.692028534455327
-    emotional_volatility: 0.5522743750132943
-    empathy: 0.6266140287891234
-  id: agent_48
-  initial_status: 0.2050838696119967
-  name: Agent 48
-  personality:
-    agreeableness: 0.3482245114843195
-    conscientiousness: 0.31238815961351496
-    dominance: 0.6621667790125816
-    extraversion: 0.2546573326684561
-    neuroticism: 0.3222464354852974
-    openness: 0.7179556184716164
-    social_influence: 0.06458031859632861
-  preferred_group_size: 8
-  role: follower
-- change_resistance: 0.7429700720208253
-  communication_style:
-    assertiveness: 0.6452234023947359
-    cooperation: 0.5815762275165045
-    directness: 0.835687171293498
-    emotional_expression: 0.7543916038001621
-    formality: 0.7193201376005873
-  conflict_tolerance: 0.6861828814428615
-  emotional_traits:
-    baseline_mood: -0.24463340806676656
-    emotional_resilience: 0.8751573294680467
-    emotional_volatility: 0.4920052313086888
-    empathy: 0.5539362906242254
-  id: agent_49
-  initial_status: 0.8650568780568892
-  name: Agent 49
-  personality:
-    agreeableness: 0.7144316781791218
-    conscientiousness: 0.5794212274282005
-    dominance: 0.5901052170639213
-    extraversion: 0.4591557253117558
-    neuroticism: 0.4188554292414354
-    openness: 0.5518096586250147
-    social_influence: 0.43709045980244066
-  preferred_group_size: 2
-  role: influencer
-communication_noise: 0.10354239997247439
-environmental_stress: 0.5344434335406101
-group_preferences: []
-relationships: []
-resource_scarcity: 0.43801548223258846
diff --git a/requirements.txt b/requirements.txt
index 462ac27..c96c9ea 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,18 +1,40 @@
-ollama
-chromadb
-llama-cpp-python
+# Core dependencies
 numpy   
 appdirs 
 pydantic
 psutil
-torch
+
+# Testing
 pytest
 pytest-asyncio
 pytest-mock
+
+# ML & LLM
+ollama
+chromadb
+llama-cpp-python
 transformers
 PyWavelets
 scikit-learn
 sentence-transformers
 wandb
+
+# Visualization
 matplotlib
-seaborn
\ No newline at end of file
+seaborn
+pydot
+pygraphviz
+
+# PyTorch ecosystem - install these first
+--find-links https://download.pytorch.org/whl/torch_stable.html
+torch
+torchvision
+torchaudio
+
+# PyTorch Geometric dependencies - install these after PyTorch
+torch-geometric
+torch-scatter
+torch-sparse
+torch-cluster
+torch-spline-conv
+torch-geometric-temporal
\ No newline at end of file
diff --git a/simulation_results/events.json b/simulation_results/events.json
deleted file mode 100644
index 3d814da..0000000
--- a/simulation_results/events.json
+++ /dev/null
@@ -1,5002 +0,0 @@
-[
-  {
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\ No newline at end of file
diff --git a/simulation_results/metrics.json b/simulation_results/metrics.json
deleted file mode 100644
index 4ca8ccb..0000000
--- a/simulation_results/metrics.json
+++ /dev/null
@@ -1,3008 +0,0 @@
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-}
\ No newline at end of file
diff --git a/simulation_results/summary.json b/simulation_results/summary.json
deleted file mode 100644
index c30ba51..0000000
--- a/simulation_results/summary.json
+++ /dev/null
@@ -1,26 +0,0 @@
-{
-  "metrics_summary": {
-    "emotional_intensity": {
-      "mean": 0.49010844898626255,
-      "min": 0.0017258073986963218,
-      "max": 0.998549675958009,
-      "count": 1000
-    },
-    "group_cohesion": {
-      "mean": 0.4933246551621128,
-      "min": 0.0009208112968426274,
-      "max": 0.9997528739826443,
-      "count": 1000
-    },
-    "interaction_count": {
-      "mean": 4.996,
-      "min": 0,
-      "max": 10,
-      "count": 1000
-    }
-  },
-  "event_counts": {
-    "step_completed": 1000
-  },
-  "timestamp": "2024-11-09T10:52:57.482646"
-}
\ No newline at end of file
diff --git a/simulation_results/visualizations/network.png b/simulation_results/visualizations/network.png
deleted file mode 100644
index 3c7f295..0000000
Binary files a/simulation_results/visualizations/network.png and /dev/null differ
diff --git a/simulation_results/visualizations/personalities.png b/simulation_results/visualizations/personalities.png
deleted file mode 100644
index 6d2b22a..0000000
Binary files a/simulation_results/visualizations/personalities.png and /dev/null differ
diff --git a/simulation_results/visualizations/roles.png b/simulation_results/visualizations/roles.png
deleted file mode 100644
index b9e234d..0000000
Binary files a/simulation_results/visualizations/roles.png and /dev/null differ
diff --git a/src/gat_social_network.py b/src/gat_social_network.py
new file mode 100644
index 0000000..b56b004
--- /dev/null
+++ b/src/gat_social_network.py
@@ -0,0 +1,450 @@
+from dataclasses import dataclass
+from typing import Dict, List, Optional, Tuple
+import logging
+
+import networkx as nx
+import torch
+import torch.nn as nn
+from torch_geometric.nn import GATConv
+from torch_geometric.data import Data
+import matplotlib.pyplot as plt
+
+# Add logger configuration at the top of the file
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class AgentNode:
+    """Represents an agent in the relationship graph.
+
+    Attributes:
+        agent_id: Unique identifier for the agent
+        attributes: Dictionary of agent characteristics
+        state: Current emotional/behavioral state
+    """
+
+    agent_id: str
+    attributes: Dict[str, float]
+    state: Dict[str, float]
+
+
+class RelationshipGraph:
+    """Manages and analyzes agent relationships using PyTorch Geometric."""
+
+    def __init__(
+        self,
+        hidden_dim: int = 64,
+        num_heads: int = 4,
+        device: str = "cuda" if torch.cuda.is_available() else "cpu",
+    ):
+        """Initialize the relationship graph with GAT architecture.
+
+        Graph Attention Network (GAT) Explanation:
+        - GAT is a neural network architecture designed for graph-structured data
+        - It uses attention mechanisms to weigh the importance of different connections
+        - Key components:
+          1. Multi-head attention: Multiple parallel attention mechanisms (num_heads)
+          2. Node features: Encoded from agent attributes and states
+          3. Edge features: Encoded from relationship attributes
+          4. Attention weights: Learned dynamically based on node and edge features
+
+        Args:
+            hidden_dim: Dimension of the hidden representations (default: 64)
+            num_heads: Number of parallel attention mechanisms (default: 4)
+            device: Computing device to use (default: CUDA if available, else CPU)
+        """
+        logger.info(
+            f"Initializing RelationshipGraph (hidden_dim={hidden_dim}, num_heads={num_heads}, device={device})"
+        )
+        self.device = device
+        self.hidden_dim = hidden_dim
+        self.num_heads = num_heads
+
+        # Initialize empty graph
+        self.nx_graph = nx.DiGraph()
+
+        # Calculate input dimensions based on agent attributes and state
+        # 2 attributes (openness, extraversion) + 2 state variables (happiness, energy)
+        input_dim = (
+            4  # Update this if you change the number of attributes/state variables
+        )
+
+        # Neural network layers for relationship processing
+        self.node_encoder = nn.Linear(input_dim, hidden_dim).to(device)
+        self.edge_encoder = nn.Linear(3, hidden_dim).to(
+            device
+        )  # trust, influence, familiarity
+
+        # GAT layer: Each head learns different aspects of relationships
+        # Output dim per head is hidden_dim // num_heads to maintain constant total dimensions
+        self.gat_layer = GATConv(
+            hidden_dim,
+            hidden_dim // num_heads,
+            heads=num_heads,
+            concat=True,  # Concatenate outputs from different heads
+        ).to(device)
+
+    def add_agent(self, agent: AgentNode) -> None:
+        """Adds a new agent to the relationship graph."""
+        logger.debug(
+            f"Adding agent {agent.agent_id} to graph with attributes={agent.attributes}, state={agent.state}"
+        )
+        self.nx_graph.add_node(
+            agent.agent_id, attributes=agent.attributes, state=agent.state
+        )
+
+    def update_relationship(
+        self,
+        source_id: str,
+        target_id: str,
+        trust: float,
+        influence: float,
+        familiarity: float,
+    ) -> None:
+        """Updates or creates a relationship between two agents."""
+        logger.debug(
+            f"Updating relationship: {source_id} -> {target_id} "
+            f"(trust={trust:.2f}, influence={influence:.2f}, familiarity={familiarity:.2f})"
+        )
+        if not self.nx_graph.has_edge(source_id, target_id):
+            self.nx_graph.add_edge(
+                source_id,
+                target_id,
+                trust=trust,
+                influence=influence,
+                familiarity=familiarity,
+            )
+
+    def compute_social_dynamics(self) -> torch.Tensor:
+        """Computes relationship embeddings using Graph Attention Network (GAT).
+
+        GAT Process:
+        1. Node features are encoded from agent attributes and states
+        2. Edge features are encoded from relationship attributes
+        3. Multiple attention heads process the graph in parallel:
+           - Each head computes attention weights for node pairs
+           - Weights determine how much each neighbor influences the node
+           - Different heads can capture different relationship patterns
+        4. Final embeddings combine information from all attention heads
+
+        Returns:
+            torch.Tensor: Node embeddings capturing social dynamics
+        """
+        logger.info("Computing social dynamics using GAT")
+        node_features = self._get_node_features()
+        edge_index, edge_features = self._get_edge_features()
+
+        # Convert to PyG Data object for GAT processing
+        data = Data(x=node_features, edge_index=edge_index, edge_attr=edge_features).to(
+            self.device
+        )
+
+        # Apply GAT to learn relationship patterns
+        node_embeddings = self.gat_layer(data.x, data.edge_index)
+        logger.debug(f"Generated node embeddings shape: {node_embeddings.shape}")
+        return node_embeddings
+
+    def analyze_communities(self) -> List[List[str]]:
+        """Detects communities using the Louvain method.
+
+        Louvain Method Explanation:
+        1. Optimization Algorithm:
+           - Maximizes modularity (measure of network division quality)
+           - Modularity high when communities have dense internal connections
+             but sparse connections between communities
+
+        2. Two-Phase Process:
+           Phase 1 - Local Optimization:
+           - Iteratively moves nodes between communities
+           - Each move must increase overall modularity
+           - Continues until no moves improve modularity
+
+           Phase 2 - Network Aggregation:
+           - Creates super-nodes from found communities
+           - Builds new network from these super-nodes
+           - Repeats Phase 1 on this new network
+
+        3. Advantages:
+           - Automatically determines number of communities
+           - Handles different scales of communities
+           - Computationally efficient for large networks
+
+        Returns:
+            List[List[str]]: List of communities, where each community is a list of agent IDs
+        """
+        logger.info("Analyzing communities using Louvain method")
+
+        # Convert to undirected graph for community detection
+        # Louvain method works on undirected graphs as community membership
+        # is inherently symmetric
+        undirected_graph = self.nx_graph.to_undirected()
+
+        # Detect communities using Louvain algorithm
+        communities = list(nx.community.louvain_communities(undirected_graph))
+
+        logger.debug(f"Detected {len(communities)} communities: {communities}")
+        return communities
+
+    def get_influence_paths(self, source_id: str, target_id: str) -> List[List[str]]:
+        """Finds all influence paths between two agents."""
+        logger.debug(f"Finding influence paths from {source_id} to {target_id}")
+        paths = list(nx.all_simple_paths(self.nx_graph, source_id, target_id, cutoff=3))
+        logger.debug(f"Found {len(paths)} influence paths: {paths}")
+        return paths
+
+    def _get_node_features(self) -> torch.Tensor:
+        """Extracts and encodes node features."""
+        features = []
+        for node in self.nx_graph.nodes(data=True):
+            node_data = torch.tensor(
+                [*node[1]["attributes"].values(), *node[1]["state"].values()],
+                dtype=torch.float32,
+                device=self.device,
+            )
+            features.append(node_data)
+
+        features_tensor = torch.stack(features)
+        return self.node_encoder(features_tensor)
+
+    def _get_edge_features(self) -> Tuple[torch.Tensor, torch.Tensor]:
+        """Extracts and encodes edge features."""
+        edge_index = []
+        features = []
+
+        for source, target, data in self.nx_graph.edges(data=True):
+            source_idx = list(self.nx_graph.nodes()).index(source)
+            target_idx = list(self.nx_graph.nodes()).index(target)
+            edge_index.append([source_idx, target_idx])
+
+            edge_data = torch.tensor(
+                [data["trust"], data["influence"], data["familiarity"]],
+                dtype=torch.float32,
+                device=self.device,
+            )
+            features.append(edge_data)
+
+        if not edge_index:  # Handle empty graph case
+            return (
+                torch.empty((2, 0), dtype=torch.long, device=self.device),
+                torch.empty((0, 3), device=self.device),
+            )
+
+        edge_index_tensor = torch.tensor(edge_index, device=self.device).t()
+        features_tensor = torch.stack(features)
+        return edge_index_tensor, self.edge_encoder(features_tensor)
+
+    def visualize(self, title: str = "Relationship Graph") -> None:
+        """Visualizes the relationship graph with edge weights and node attributes."""
+        # Create figure with a specific size and layout for colorbars
+        fig, ax = plt.subplots(figsize=(12, 8))
+
+        # Create layout for graph
+        pos = nx.spring_layout(self.nx_graph, k=1, iterations=50)
+
+        # Draw nodes
+        node_sizes = []
+        node_colors = []
+        for node, data in self.nx_graph.nodes(data=True):
+            node_sizes.append(1000 * data["attributes"]["extraversion"])
+            node_colors.append(data["attributes"]["openness"])
+
+        nx.draw_networkx_nodes(
+            self.nx_graph,
+            pos,
+            node_size=node_sizes,
+            node_color=node_colors,
+            cmap=plt.cm.viridis,
+            alpha=0.7,
+            ax=ax,
+        )
+
+        # Draw edges
+        edges = []
+        edge_colors = []
+        edge_widths = []
+        for u, v, data in self.nx_graph.edges(data=True):
+            edges.append((u, v))
+            edge_colors.append(data["influence"])
+            edge_widths.append(data["trust"] * 2)
+
+        nx.draw_networkx_edges(
+            self.nx_graph,
+            pos,
+            edgelist=edges,
+            edge_color=edge_colors,
+            edge_cmap=plt.cm.coolwarm,
+            width=edge_widths,
+            edge_vmin=0,
+            edge_vmax=1,
+            arrows=True,
+            arrowsize=20,
+            ax=ax,
+        )
+
+        # Add labels
+        nx.draw_networkx_labels(self.nx_graph, pos, ax=ax)
+
+        # Add colorbars
+        sm1 = plt.cm.ScalarMappable(cmap=plt.cm.viridis)
+        sm1.set_array([])
+        sm2 = plt.cm.ScalarMappable(cmap=plt.cm.coolwarm)
+        sm2.set_array([])
+
+        # Adjust layout to make room for colorbars
+        plt.subplots_adjust(right=0.85)
+        cbar_ax1 = fig.add_axes([0.87, 0.55, 0.02, 0.3])
+        cbar_ax2 = fig.add_axes([0.87, 0.15, 0.02, 0.3])
+
+        fig.colorbar(sm1, cax=cbar_ax1, label="Node Openness Level")
+        fig.colorbar(sm2, cax=cbar_ax2, label="Edge Influence Level")
+
+        ax.set_title(title)
+        ax.axis("off")
+        plt.show()
+
+
+def demo_relationship_analysis():
+    """Demonstrates social network analysis with a classroom social dynamics example.
+
+    This demo creates a simulated classroom environment with 5 students, each having distinct
+    personalities and relationship dynamics. It showcases:
+    1. How different personality types interact
+    2. Formation of social groups and communities
+    3. Influence pathways between students
+    4. Complex relationship networks and their analysis
+    """
+    # Configure logging to show timestamps and message levels
+    logging.basicConfig(
+        level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+    )
+    logger.info("=== Starting Classroom Social Network Analysis ===")
+
+    # Initialize our social network with a 64-dimensional hidden layer
+    # This dimensionality allows for rich representation of social dynamics
+    graph = RelationshipGraph(hidden_dim=64)
+
+    # Create our cast of students, each with unique personality traits
+    students = {
+        # Emma: The natural leader
+        "Emma": AgentNode(
+            agent_id="Emma",
+            attributes={
+                "openness": 0.9,  # Very open to new experiences
+                "extraversion": 0.8,  # Highly outgoing
+            },
+            state={
+                "happiness": 0.8,  # Generally very positive
+                "energy": 0.9,  # High energy levels
+            },
+        ),
+        # James: The thoughtful introvert
+        "James": AgentNode(
+            agent_id="James",
+            attributes={
+                "openness": 0.4,  # More traditional in approach
+                "extraversion": 0.3,  # Prefers smaller groups
+            },
+            state={
+                "happiness": 0.6,  # Contentedly reserved
+                "energy": 0.5,  # Moderate energy levels
+            },
+        ),
+        # Sofia: The social bridge
+        "Sofia": AgentNode(
+            agent_id="Sofia",
+            attributes={
+                "openness": 0.7,  # Adaptable and accepting
+                "extraversion": 0.6,  # Balanced social energy
+            },
+            state={
+                "happiness": 0.7,  # Generally positive
+                "energy": 0.8,  # Good energy levels
+            },
+        ),
+        # Lucas: The social butterfly
+        "Lucas": AgentNode(
+            agent_id="Lucas",
+            attributes={
+                "openness": 0.6,  # Moderately open
+                "extraversion": 0.7,  # Quite social
+            },
+            state={"happiness": 0.9, "energy": 0.7},  # Very happy  # Good energy
+        ),
+        # Mia: The selective socializer
+        "Mia": AgentNode(
+            agent_id="Mia",
+            attributes={
+                "openness": 0.8,  # Very open-minded
+                "extraversion": 0.4,  # Selective in social interactions
+            },
+            state={"happiness": 0.7, "energy": 0.6},  # Content  # Moderate energy
+        ),
+    }
+
+    # Add each student to our social network graph
+    logger.info("\n🎓 Creating classroom social network...")
+    for student in students.values():
+        graph.add_agent(student)
+
+    # Define the web of relationships between students
+    # Each relationship has three aspects:
+    # - trust: How much they trust each other (0-1)
+    # - influence: How much they affect each other's decisions (0-1)
+    # - familiarity: How well they know each other (0-1)
+    relationships = [
+        # Emma's relationships - she's central to the social network
+        ("Emma", "Sofia", 0.9, 0.8, 0.9),  # Best friends with strong mutual trust
+        ("Emma", "Lucas", 0.8, 0.7, 0.8),  # Good friends who often interact
+        ("Emma", "James", 0.6, 0.7, 0.5),  # Mentoring relationship with quiet James
+        # Sofia's relationships - she connects different social circles
+        ("Sofia", "Emma", 0.9, 0.7, 0.9),  # Reciprocal strong friendship
+        ("Sofia", "Mia", 0.8, 0.6, 0.7),  # Bridge to the more introverted students
+        ("Sofia", "Lucas", 0.7, 0.5, 0.8),  # Friendly but not extremely close
+        # James's relationships - fewer but deeper connections
+        ("James", "Mia", 0.8, 0.4, 0.6),  # Connected through shared introversion
+        ("James", "Emma", 0.7, 0.3, 0.5),  # Looks up to Emma's leadership
+        # Lucas's relationships - broad but not always deep
+        ("Lucas", "Emma", 0.8, 0.6, 0.8),  # Strong connection with the group leader
+        ("Lucas", "Sofia", 0.7, 0.5, 0.8),  # Regular social interaction
+        ("Lucas", "Mia", 0.6, 0.4, 0.5),  # Casual friendship
+        # Mia's relationships - selective but strong
+        ("Mia", "Sofia", 0.8, 0.5, 0.7),  # Comfortable friendship
+        ("Mia", "James", 0.9, 0.6, 0.7),  # Strong bond between similar personalities
+    ]
+
+    # Create all the relationships in our graph
+    logger.info("\n🤝 Establishing student relationships...")
+    for source, target, trust, influence, familiarity in relationships:
+        graph.update_relationship(source, target, trust, influence, familiarity)
+
+    # Analyze the social network using various metrics
+    logger.info("\n📊 Analyzing classroom social dynamics...")
+    # Generate embeddings that capture the network structure
+    embeddings = graph.compute_social_dynamics()
+
+    # Detect natural groupings of students
+    logger.info("\n👥 Detecting social groups...")
+    communities = graph.analyze_communities()
+
+    # Find how influence flows from Emma to Mia
+    logger.info("\n🔍 Analyzing social influence paths...")
+    influence_paths = graph.get_influence_paths("Emma", "Mia")
+
+    # Output key insights about the social network
+    logger.info("\n📈 Social Network Insights:")
+    logger.info(f"• Number of students: {len(students)}")
+    logger.info(f"• Number of relationships: {len(relationships)}")
+    logger.info(f"• Social groups detected: {len(communities)}")
+    logger.info(f"• Influence paths from Emma to Mia: {len(influence_paths)}")
+
+    logger.info("\n📊 Visualizing the social network...")
+    graph.visualize("Classroom Social Network")
+
+    logger.info("\n✨ Analysis complete! ✨")
+
+    # Return the computed metrics for potential further analysis
+    return embeddings, communities, influence_paths
+
+
+if __name__ == "__main__":
+    demo_relationship_analysis()
diff --git a/src/maml_model_agnostic_meta_learning.py b/src/maml_model_agnostic_meta_learning.py
index 1165149..8b3530b 100644
--- a/src/maml_model_agnostic_meta_learning.py
+++ b/src/maml_model_agnostic_meta_learning.py
@@ -3,8 +3,8 @@
 import numpy as np
 from sklearn.metrics import r2_score
 import logging
-import wandb  # Optional: for experiment tracking
-from collections import defaultdict
+import os
+import tempfile
 
 import torch
 import torch.nn as nn
@@ -221,6 +221,13 @@ def visualize_adaptation(
     ):
         """Enhanced visualization with feature importance and learning curves"""
         try:
+            # Create results directory in project root
+            results_dir = os.path.join(
+                os.path.dirname(os.path.dirname(__file__)), 
+                'maml_results'
+            )
+            os.makedirs(results_dir, exist_ok=True)
+
             plt.figure(figsize=(20, 5))
 
             # Plot 1: Predictions
@@ -299,7 +306,7 @@ def setup_visualization_plot(x_data, y_data, plot_title, legend_labels):
                         f"Adaptation Improvement: {((F.mse_loss(initial_pred, query_y) - F.mse_loss(adapted_pred, query_y)) / F.mse_loss(initial_pred, query_y) * 100):.1f}%")
 
             plt.tight_layout()
-            save_path = f'adaptation_plot_{task_name.replace(" ", "_")}.png'
+            save_path = os.path.join(results_dir, f'adaptation_plot_{task_name.replace(" ", "_")}.png')
             plt.savefig(save_path, dpi=300, bbox_inches='tight')
             logger.info(f"Saved visualization to {save_path}")
             return plt.gcf()