A Bayesian Framework for False Belief Reasoning in Children: A Rational Integration of Theory-Theory and Simulation Theory
Two apparently contrasting theories have been proposed to account for the development of children's theory of mind (ToM): theory-theory and simulation theory. We present a Bayesian framework that rationally integrates both theories for false belief reasoning. This framework exploits two interna...
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| Published in | Frontiers in psychology Vol. 7; p. 2019 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
27.12.2016
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| Online Access | Get full text |
| ISSN | 1664-1078 1664-1078 |
| DOI | 10.3389/fpsyg.2016.02019 |
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| Abstract | Two apparently contrasting theories have been proposed to account for the development of children's theory of mind (ToM): theory-theory and simulation theory. We present a Bayesian framework that rationally integrates both theories for false belief reasoning. This framework exploits two internal models for predicting the belief states of others: one of self and one of others. These internal models are responsible for simulation-based and theory-based reasoning, respectively. The framework further takes into account empirical studies of a developmental ToM scale (e.g., Wellman and Liu, 2004): developmental progressions of various mental state understandings leading up to false belief understanding. By representing the internal models and their interactions as a causal Bayesian network, we formalize the model of children's false belief reasoning as probabilistic computations on the Bayesian network. This model probabilistically weighs and combines the two internal models and predicts children's false belief ability as a multiplicative effect of their early-developed abilities to understand the mental concepts of diverse beliefs and knowledge access. Specifically, the model predicts that children's proportion of correct responses on a false belief task can be closely approximated as the product of their proportions correct on the diverse belief and knowledge access tasks. To validate this prediction, we illustrate that our model provides good fits to a variety of ToM scale data for preschool children. We discuss the implications and extensions of our model for a deeper understanding of developmental progressions of children's ToM abilities. |
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| AbstractList | Two apparently contrasting theories have been proposed to account for the development of children's theory of mind (ToM): theory-theory and simulation theory. We present a Bayesian framework that rationally integrates both theories for false belief reasoning. This framework exploits two internal models for predicting the belief states of others: one of self and one of others. These internal models are responsible for simulation-based and theory-based reasoning, respectively. The framework further takes into account empirical studies of a developmental ToM scale (e.g., Wellman and Liu, 2004): developmental progressions of various mental state understandings leading up to false belief understanding. By representing the internal models and their interactions as a causal Bayesian network, we formalize the model of children's false belief reasoning as probabilistic computations on the Bayesian network. This model probabilistically weighs and combines the two internal models and predicts children's false belief ability as a multiplicative effect of their early-developed abilities to understand the mental concepts of diverse beliefs and knowledge access. Specifically, the model predicts that children's proportion of correct responses on a false belief task can be closely approximated as the product of their proportions correct on the diverse belief and knowledge access tasks. To validate this prediction, we illustrate that our model provides good fits to a variety of ToM scale data for preschool children. We discuss the implications and extensions of our model for a deeper understanding of developmental progressions of children's ToM abilities. Two apparently contrasting theories have been proposed to account for the development of children's theory of mind (ToM): theory-theory and simulation theory. We present a Bayesian framework that rationally integrates both theories for false belief reasoning. This framework exploits two internal models for predicting the belief states of others: one of self and one of others. These internal models are responsible for simulation-based and theory-based reasoning, respectively. The framework further takes into account empirical studies of a developmental ToM scale (e.g., Wellman and Liu, 2004): developmental progressions of various mental state understandings leading up to false belief understanding. By representing the internal models and their interactions as a causal Bayesian network, we formalize the model of children's false belief reasoning as probabilistic computations on the Bayesian network. This model probabilistically weighs and combines the two internal models and predicts children's false belief ability as a multiplicative effect of their early-developed abilities to understand the mental concepts of diverse beliefs and knowledge access. Specifically, the model predicts that children's proportion of correct responses on a false belief task can be closely approximated as the product of their proportions correct on the diverse belief and knowledge access tasks. To validate this prediction, we illustrate that our model provides good fits to a variety of ToM scale data for preschool children. We discuss the implications and extensions of our model for a deeper understanding of developmental progressions of children's ToM abilities.Two apparently contrasting theories have been proposed to account for the development of children's theory of mind (ToM): theory-theory and simulation theory. We present a Bayesian framework that rationally integrates both theories for false belief reasoning. This framework exploits two internal models for predicting the belief states of others: one of self and one of others. These internal models are responsible for simulation-based and theory-based reasoning, respectively. The framework further takes into account empirical studies of a developmental ToM scale (e.g., Wellman and Liu, 2004): developmental progressions of various mental state understandings leading up to false belief understanding. By representing the internal models and their interactions as a causal Bayesian network, we formalize the model of children's false belief reasoning as probabilistic computations on the Bayesian network. This model probabilistically weighs and combines the two internal models and predicts children's false belief ability as a multiplicative effect of their early-developed abilities to understand the mental concepts of diverse beliefs and knowledge access. Specifically, the model predicts that children's proportion of correct responses on a false belief task can be closely approximated as the product of their proportions correct on the diverse belief and knowledge access tasks. To validate this prediction, we illustrate that our model provides good fits to a variety of ToM scale data for preschool children. We discuss the implications and extensions of our model for a deeper understanding of developmental progressions of children's ToM abilities. |
| Author | Inui, Toshio Asakura, Nobuhiko |
| AuthorAffiliation | Department of Psychology, Otemon Gakuin University Osaka, Japan |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28082941$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1037/0033-295X.111.1.3 10.1111/j.1467-8624.2005.00859.x 10.1111/cogs.12031 10.5926/jjep1953.55.3_359 10.1037/a0028044 10.1111/j.1468-0017.1986.tb00324.x 10.1111/j.1467-8624.2004.00691.x 10.1016/j.actpsy.2006.09.005 10.1016/0010-0277(83)90004-5 10.1016/S1364-6613(98)01262-5 10.1111/j.2044-835X.1987.tb01048.x 10.1016/j.cognition.2007.07.019 10.1098/rstb.2002.1238 10.1111/1468-0017.00140 10.1111/j.1467-7687.2007.00574.x 10.1017/CBO9780511752902.011 10.1016/j.cognition.2012.11.005 10.1037/a0013256 10.7551/mitpress/1754.001.0001 10.1016/j.dcn.2014.01.002 10.1348/026151008X334737 10.1111/j.1467-8624.2011.01583.x 10.1037/a0038320 10.1111/j.1467-9280.2006.01830.x 10.1177/0022022113513921 10.1093/0198236107.001.0001 10.1037/a0023899 10.1016/j.cogpsych.2005.05.004 10.1017/CBO9780511816772.006 10.1016/j.tics.2005.01.012 10.1017/S0140525X00076512 10.1146/annurev.psych.55.090902.142005 10.1002/wcs.80 10.1016/j.tics.2004.10.001 10.1177/0963721412469396 10.1093/0195138929.001.0001 10.1111/1467-8624.00304 10.1111/j.1468-0017.1992.tb00202.x 10.1111/j.1467-7687.2007.00584.x |
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| Keywords | false belief internal model theory-theory Bayesian network simulation theory |
| Language | English |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Developmental Psychology, a section of the journal Frontiers in Psychology Edited by: Erika Nurmsoo, University of Kent, UK Reviewed by: Caspar Addyman, Goldsmiths, University of London, UK; Yoshifumi Ikeda, Joetsu University of Education, Japan |
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| Title | A Bayesian Framework for False Belief Reasoning in Children: A Rational Integration of Theory-Theory and Simulation Theory |
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