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Grounding Language about Belief in a Bayesian Theory-of-Mind
Feb. 19, 2024, 5:48 a.m. | Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua Tenenbaum
cs.CL updates on arXiv.org arxiv.org
Abstract: Despite the fact that beliefs are mental states that cannot be directly observed, humans talk about each others' beliefs on a regular basis, often using rich compositional language to describe what others think and know. What explains this capacity to interpret the hidden epistemic content of other minds? In this paper, we take a step towards an answer by grounding the semantics of belief statements in a Bayesian theory-of-mind: By modeling how humans jointly infer …
abstract arxiv bayesian belief capacity cs.ai cs.cl hidden humans language mind talk theory think type
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