swarms/examples/multi_agent/social_algorithms_examples

Social Algorithms Examples

This directory contains examples demonstrating social algorithm patterns for multi-agent systems.

Examples

• 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

Overview

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.