Survey maps hypergame theory applications in multi-agent systems

A new survey paper explores the application of hypergame theory to multi-agent systems (MAS), addressing limitations in classical game theory such as rational agent assumptions and common knowledge. The paper reviews 49 studies that adapt hypergame theory to model misaligned perceptions and nested beliefs in areas like cybersecurity, robotics, and social simulation. It identifies trends in deceptive reasoning and practical applications, while also highlighting gaps such as the underutilization of certain theoretical extensions and the lack of formal hypergame languages. AI

IMPACT Provides a roadmap for enhancing strategic modeling in multi-agent environments by incorporating misaligned perceptions and nested beliefs.

RANK_REASON The item is a survey paper published on arXiv detailing theoretical applications in AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• computer security
• Hypergame Theory: A Model for Conflict, Misperception, and Deception
• multi-agent system
• robotics
• Social simulation
• Vince Trencsenyi

• paper
• other

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