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- W2951050389 abstract "This thesis proposes a computational framework forunderstanding human Theory of Mind (ToM): our conception of others'mental states, how they relate to the world, and how they causebehavior. Humans use ToM to predict others' actions, given theirmental states, but also to do the reverse: attribute mental states- beliefs, desires, intentions, knowledge, goals, preferences,emotions, and other thoughts - to explain others' behavior. Thegoal of this thesis is to provide a formal account of the knowledgeand mechanisms that support these judgments. The thesis will arguefor three central claims about human ToM. First, ToM is constructedaround probabilistic, causal models of how agents' beliefs, desiresand goals interact with their situation and perspective (which candiffer from our own) to produce behavior. Second, the core contentof ToM can be formalized using context-specific models ofapproximately rational planning, such as Markov decision processes(MDPs), partially observable MDPs (POMDPs), and Markov games. ToMreasoning will be formalized as rational probabilistic inferenceover these models of intentional (inter)action, termed BayesianTheory of Mind (BToM). Third, hypotheses about the structure andcontent of ToM can be tested through a combination of computationalmodeling and behavioral experiments. An experimental paradigm foreliciting fine-grained ToM judgments will be proposed, based oncomparing human inferences about the mental states and behavior ofagents moving within simple two-dimensional scenarios with theinferences predicted by computational models. Three sets ofexperiments will be presented, investigating models of human goalinference (Chapter 2), joint belief-desire inference (Chapter 3),and inference of interactively-defined goals, such as chasing andfleeing (Chapter 4). BToM, as well as a selection of prominentalternative proposals from the social perception literature will beevaluated by their quantitative fit to behavioral data. Across thepresent experiments, the high accuracy of BToM, and its performancerelative to alternative models, will demonstrate the difficulty ofcapturing human social judgments, and the success of BToM inmeeting this challenge." @default.
- W2951050389 created "2019-06-27" @default.
- W2951050389 creator A5012171952 @default.
- W2951050389 date "2012-01-01" @default.
- W2951050389 modified "2023-09-27" @default.
- W2951050389 title "Bayesian Theory of Mind : modeling human reasoningabout beliefs, desires, goals, and social relations; BToM : modeling human reasoning about beliefs, desires,goals, and social relations; Modeling human reasoning about beliefs, desires, goals,and social relations; Bayesian theory of mind" @default.
- W2951050389 hasPublicationYear "2012" @default.
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