This directory contains examples demonstrating social algorithm patterns for multi-agent systems.
- adaptive_workflow_algorithm_example.py - Adaptive workflow algorithms
- auction_market_algorithm_example.py - Auction market algorithms
- collaborative_brainstorming_example.py - Collaborative brainstorming
- competitive_evaluation_example.py - Competitive evaluation patterns
- consensus_building_algorithm_example.py - Consensus building algorithms
- hierarchical_decision_making_example.py - Hierarchical decision making
- iterative_refinement_algorithm_example.py - Iterative refinement algorithms
- multi_stage_pipeline_algorithm_example.py - Multi-stage pipeline algorithms
- negotiation_algorithm_example.py - Negotiation algorithms
- peer_review_example.py - Peer review patterns
- research_analysis_synthesis_example.py - Research analysis and synthesis
- swarm_intelligence_algorithm_example.py - Swarm intelligence algorithms
Social algorithms implement patterns inspired by human social interactions, including negotiation, consensus-building, peer review, and collaborative problem-solving. These examples demonstrate how multi-agent systems can leverage social dynamics for improved coordination and decision-making.