Multi-Agent Cooperation: Beyond Human Decision-Making

Multi-Agent Cooperation: Beyond Human Decision-Making

Advancing AI collaboration in complex scenarios

This comprehensive survey explores how multiple AI agents can work together to solve complex problems that require coordinated decision-making.

  • Examines various cooperative scenarios across autonomous driving, drone navigation, and disaster rescue
  • Reviews advanced decision-making techniques that surpass human capabilities in complex environments
  • Identifies key challenges and future directions for multi-agent systems

Gaming Impact: This research provides frameworks for developing more sophisticated NPC coordination, team-based AI opponents, and dynamic game environments where multiple AI agents work together to challenge players in increasingly realistic ways.

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

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