Presentation | 2014-11-22 A Bayesian Network Model of theory-of-mind Naoya NISHIO, Nobuhiko ASAKURA, Toshio INUI, |
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Abstract(in English) | Theory of mind (ToM) is a knowledge and cognitive framework for understanding the minds of others and predicting their actions. There are two models for ToM: theory theory and simulation theory. In theory theory, people understand the minds of others based on the knowledge of others' minds. In simulation theory, people understand the minds of others by projecting themselves into others' situations. Although most models in preceding studies were based on simulation theory, some of them were based on theory theory. These preceding models use either theory. However, in this paper we argue that people use both for understanding others' minds. Therefore, the purpose of this study is to construct a Bayesian network model based on both theories, and to discuss a developmental process of the human understanding and the interrelationships of various mental states such as beliefs, knowledge and false beliefs. The results suggest that the simultaneous development of mental functions of understanding the beliefs and knowledge of others is necessary for people to acquire more highly advanced mental functions of false beliefs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | theory of mind / simulation theory / Bayesian network |
Paper # | NC2014-39 |
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Committee | NC |
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Conference Date | 2014/11/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Bayesian Network Model of theory-of-mind |
Sub Title (in English) | |
Keyword(1) | theory of mind |
Keyword(2) | simulation theory |
Keyword(3) | Bayesian network |
1st Author's Name | Naoya NISHIO |
1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
2nd Author's Name | Nobuhiko ASAKURA |
2nd Author's Affiliation | Graduate School of Informatics, Kyoto University |
3rd Author's Name | Toshio INUI |
3rd Author's Affiliation | Graduate School of Informatics, Kyoto University |
Date | 2014-11-22 |
Paper # | NC2014-39 |
Volume (vol) | vol.114 |
Number (no) | 326 |
Page | pp.pp.- |
#Pages | 6 |
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