{"ID":2836029,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.22536","arxiv_id":"2511.22536","title":"A Computable Game-Theoretic Framework for Multi-Agent Theory of Mind","abstract":"Originating in psychology, $\\textit{Theory of Mind}$ (ToM) has attracted significant attention across multiple research communities, especially logic, economics, and robotics. Most psychological work does not aim at formalizing those central concepts, namely $\\textit{goals}$, $\\textit{intentions}$, and $\\textit{beliefs}$, to automate a ToM-based computational process, which, by contrast, has been extensively studied by logicians. In this paper, we offer a different perspective by proposing a computational framework viewed through the lens of game theory. On the one hand, the framework prescribes how to make boudedly rational decisions while maintaining a theory of mind about others (and recursively, each of the others holding a theory of mind about the rest); on the other hand, it employs statistical techniques and approximate solutions to retain computability of the inherent computational problem.","short_abstract":"Originating in psychology, $\\textit{Theory of Mind}$ (ToM) has attracted significant attention across multiple research communities, especially logic, economics, and robotics. Most psychological work does not aim at formalizing those central concepts, namely $\\textit{goals}$, $\\textit{intentions}$, and $\\textit{beliefs...","url_abs":"https://arxiv.org/abs/2511.22536","url_pdf":"https://arxiv.org/pdf/2511.22536v1","authors":"[\"Fengming Zhu\",\"Yuxin Pan\",\"Xiaomeng Zhu\",\"Fangzhen Lin\"]","published":"2025-11-27T15:13:45Z","proceeding":"cs.AI","tasks":"[\"cs.AI\",\"cs.GT\",\"cs.MA\"]","methods":"[]","has_code":false}