mlsanityData to 14 Oct 2026

Combining Theory of Mind and Abduction for Cooperation under Imperfect Information

arXiv 2209.15279 ↗First posted 30 Sep 2022cs.MAcited by 2

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Abstract (arXiv)

In this paper, we formalise and implement an agent model for cooperation under imperfect information. It is based on Theory of Mind (the cognitive ability to understand the mental state of others) and abductive reasoning (the inference paradigm that computes explanations from observations). The combination of these two techniques allows agents to derive the motives behind the actions of their peers, and incorporate this knowledge into their own decision-making. We have implemented this model in a totally domain-independent fashion and successfully tested it for the cooperative card game Hanabi.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Sep 2022.

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Citing papers per year: 2023: 1; 2024: 1.

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  1. 2025LLM-Hanabi: Evaluating Multi-Agent Gameplays with Theory-of-Mind and Rationale Inference in Imperfect Information Collaboration Game
  2. 2025Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation
  3. 2026The Theory of Mind Utility: A Formal Account of Mentalizing
  4. 2025Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
  5. 2026Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
  6. 2024Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
  7. 2026Avalon-ToM-Bench: Evaluating Fine-Grained Theory of Mind via Asymmetric Game Mechanics
  8. 2026MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs