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feat: add simulation-driven AI system with physics, world model, reasoning, geospatial, and simulation engines - #58

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Tashima-Tarsh merged 8 commits into
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Apr 12, 2026
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feat: add simulation-driven AI system with physics, world model, reasoning, geospatial, and simulation engines#58
Tashima-Tarsh merged 8 commits into
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copilot/build-simulation-driven-ai-system

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Copilot AI commented Apr 12, 2026

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Introduces a modular ai-system/ package implementing a simulation-driven AI architecture: physics-based modeling, world simulation, probabilistic reasoning, geospatial intelligence, and a CalcHEP-inspired processing pipeline.

Architecture

76 Python modules across 7 subsystems under ai-system/:

  • physics_engine/ — Classical mechanics (N-body gravitation), thermodynamics (heat transfer, entropy), electromagnetism (Coulomb/Lorentz), quantum-inspired superposition/entanglement, Euler + RK4 integrators, iterative constraint solver
  • world_model/ — Entity hierarchy (AgentEntity, ObjectEntity), grid-based spatial registry, terrain environments with named regions, collision/communication/force interaction resolution, full to_dict()/from_dict() serialization
  • core/ — 6-stage pipeline engine (input → parse → symbolic → numerical → simulation → output), Bayesian reasoning engine with hypothesis collapse, TOPSIS multi-criteria decisions, event-driven simulator with batch sweeps, multi-agent framework with communication bus
  • geospatial/ — WGS84 coordinate transforms, spatial grid index, sensor simulation with Kalman-filter fusion, raster map layers with bilinear interpolation, object tracker with linear prediction
  • simulation/ — Scenario builder (fluent API), priority-queue event engine, Monte Carlo with concurrent.futures parallelism and convergence statistics
  • interfaces/ — FastAPI routes (9 endpoints), argparse CLI (6 commands), matplotlib plotter with ASCII fallback
  • utils/ — Dataclass-based config (JSON/env/dict), structured logging + PerformanceTimer, numpy math helpers, numpy-aware JSON serialization

Usage

from ai_system.core.reasoning_engine.reasoning import ReasoningEngine

engine = ReasoningEngine()
engine.add_hypothesis("friendly", initial_probability=0.3)
engine.add_hypothesis("hostile", initial_probability=0.5)
engine.add_hypothesis("neutral", initial_probability=0.2)
engine.update_evidence(hypothesis_id, evidence="approaching fast", weight=0.8)
result = engine.collapse()  # returns highest-probability hypothesis

Tests & Examples

  • 34 unit tests across 6 files covering all subsystems (ai-system/tests/)
  • 5 runnable examples: N-body simulation, multi-agent interaction, Bayesian decision-making, pipeline processing, Monte Carlo estimation (ai-system/examples/)

Not included

README with architecture diagram — deferred to follow-up.

Copilot AI and others added 8 commits April 12, 2026 19:53
@Tashima-Tarsh
Add physics engine module with classical, quantum-inspired, integrati…
da2eb80 
…on, and constraint systems

Implements a production-quality physics simulation engine with:

- Classical mechanics: PhysicsObject, ClassicalMechanicsEngine with N-body
  gravity (Newton's law of gravitation), semi-implicit Euler integration
- Thermodynamics: ThermalBody, ThermodynamicsEngine with conductive heat
  transfer, entropy calculation, ideal gas law utilities
- Electromagnetism: ChargedParticle, ElectromagneticEngine with Coulomb
  force, Lorentz force, electric field computation
- Quantum-inspired: QuantumState with superposition, measurement/collapse,
  entropy; EntangledPair with correlation tracking; Bell state factory
- State evolution: EulerIntegrator, RungeKutta4Integrator, TimeStepper
  with adaptive step-size control (Richardson extrapolation)
- Constraints: DistanceConstraint, BoundaryConstraint, iterative
  Gauss-Seidel ConstraintSolver

All modules use numpy for vector math, include docstrings, type hints,
and proper logging.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
Fix docstring cross-reference and initialize y_half before adaptive loop
4d43f8a 
- Fix physics_engine.classical.mechanics reference in EM docstring
- Initialize y_half before the retry loop to prevent potential undefined
  variable if the loop were to not execute

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
feat: add World Model system with entities, environments, interaction…
a627a98 
…s, and world manager

Implements a complete world simulation framework:

- Entity system: Entity base class, AgentEntity (autonomous with behavior_fn,
  perception, memory), ObjectEntity (mass, material, durability, static support)
- EntityRegistry: Singleton with grid-based spatial indexing for radius queries
- Environment: Terrain height-map with bilinear interpolation, named regions
  with property overrides, EnvironmentConditions (wind, visibility, time-of-day)
- Interactions: CollisionInteraction (elastic/inelastic), CommunicationInteraction
  (agent message passing), ForceInteraction (sustained directional forces),
  InteractionResolver batch processing
- World manager: Ties all subsystems together with step() simulation loop,
  event callbacks, full serialisation round-trip (to_dict/from_dict)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
fix: integrate force over dt in ForceInteraction.resolve
43779c2 
Pass dt to all Interaction.resolve() calls so ForceInteraction correctly
computes Δv = (F/m)·dt instead of applying instantaneous acceleration.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
Add core AI system modules: pipeline, reasoning, simulation, and agen…
5f1a028 
…t framework

- pipeline_engine: CalcHEP-inspired multi-stage processing pipeline with
  expression parsing, symbolic manipulation, numerical evaluation (numpy),
  simulation, and formatted output. Supports middleware hooks and stage
  execution timing.

- reasoning_engine: Bayesian hypothesis management with evidence tracking,
  probability updates, entropy measurement, pruning, and weighted collapse.
  DecisionFramework with TOPSIS multi-criteria ranking and sensitivity analysis.

- simulation_engine: Step-based simulator with configurable dt/seed,
  event scheduling via priority queue, history recording, and BatchSimulator
  for parameter sweeps.

- agent_framework: Multi-agent system with perceive-think-act loop, bounded
  memory, priority-based goals, AgentCommunicationBus (broadcast/direct/topics),
  and MultiAgentSystem with turn ordering and conflict resolution.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
Add geospatial and simulation modules with full implementations
9b7ef5f 
Geospatial module:
- coordinate_system: WGS84 geo↔ECEF conversions, haversine, bearing, destination
- spatial_index: 2D grid index with radius, bbox, and k-NN queries
- sensor: Sensor models with noise, SensorFusion with weighted avg + Kalman
- map_layer: Raster MapLayer with bilinear interpolation, MapStack compositing
- tracker: Object tracking with linear extrapolation and stale pruning

Simulation module:
- scenario: ScenarioBuilder fluent API, ScenarioRunner event stepper
- events: Priority EventQueue, EventEngine with handler dispatch
- monte_carlo: MonteCarloSimulation (sequential + parallel), MonteCarloResults stats

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
Add ai-system utils and interfaces modules
c383c74 
- utils/config.py: Dataclass-based SystemConfig with JSON/env/dict loading
- utils/logging_utils.py: Structured logging, PerformanceTimer, MetricsCollector
- utils/math_helpers.py: numpy vector/matrix math utilities
- utils/serialization.py: JSON serialization with numpy/datetime/enum support
- interfaces/api/routes.py: FastAPI routes with graceful fallback stubs
- interfaces/api/app.py: FastAPI app factory with CORS and lifecycle events
- interfaces/cli/cli.py: argparse CLI with 6 commands
- interfaces/visualization/plotter.py: matplotlib plotter + ASCII fallback
- Top-level __init__.py exporting public API

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
feat: add simulation-driven AI system with physics, world model, reas…
56b5fd1 
…oning, geospatial, and simulation engines

- 76 Python modules across 7 major subsystems
- Physics engine (classical mechanics, thermodynamics, EM, quantum-inspired)
- World model (entities, environments, interactions, world manager)
- Core engines (pipeline, reasoning, simulation, agent framework)
- Geospatial intelligence (GIS, sensors, mapping, tracking)
- Simulation (scenarios, events, Monte Carlo)
- Interfaces (API, CLI, visualization)
- Utils (config, logging, math, serialization)
- 6 test files and 5 example scripts

Agent-Logs-Url: https://github.com/Tashima-Tarsh/Disha/sessions/44d84ea4-5097-42be-8364-311b109c4169

Co-authored-by: Tashima-Tarsh <269906498+Tashima-Tarsh@users.noreply.github.com>
@Tashima-Tarsh
Tashima-Tarsh marked this pull request as ready for review April 12, 2026 20:44
@Tashima-Tarsh
Tashima-Tarsh merged commit f515a84 into main Apr 12, 2026
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