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Computational models of mentalizing

Authors: Chang, Luke; Gonzalez, Bryan;

Computational models of mentalizing

Abstract

Humans have a remarkable ability to infer and represent others’ mental states such as their beliefs, goals, desires, intentions, and feelings. In this chapter, we review some of the innovations that have developed in economics, computer science, and cognitive neuroscience in modeling the computations underlying several mentalizing operations. Broadly, this involves building models of how agents infer the mental states of other agents within constrained environments. These models include modules for: representing the goals and desires of an agent (e.g., maximize reward, or minimize embarrassment), inferring the mental states of other agents (e.g., beliefs, goals, desires, intentions, and feelings), and integrating these goals and mentalizing computations to produce optimal behavioral policies to navigate the environment. The mathematical operationalization of these constructs provides a general framework that can be validated by behavior and neural recording techniques and extended in the future by contributions from multiple scientific disciplines.

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PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Social Cognition, PsyArXiv|Social and Behavioral Sciences|Quantitative Methods|Computational Modeling, bepress|Social and Behavioral Sciences|Psychology|Quantitative Psychology, bepress|Social and Behavioral Sciences|Psychology|Cognitive Psychology, bepress|Life Sciences|Neuroscience and Neurobiology, PsyArXiv|Neuroscience|Cognitive Neuroscience, PsyArXiv|Social and Behavioral Sciences, PsyArXiv|Neuroscience, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Judgment and Decision Making, bepress|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology, bepress|Social and Behavioral Sciences|Psychology|Social Psychology, bepress|Social and Behavioral Sciences|Psychology|Personality and Social Contexts, PsyArXiv|Social and Behavioral Sciences|Quantitative Methods, bepress|Life Sciences|Neuroscience and Neurobiology|Cognitive Neuroscience, PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology, PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Motivational Behavior

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
hybrid