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To reconcile these findings, we combine the diagnostic expectations model of belief formation from Bordalo, Gennaioli, and Shleifer (2018) with Woodford's (2003) noisy information model of belief aggregation.
We explain these facts using a new model of belief formation based on a portable formalization of the representativeness heuristic.
Our analysis suggests that the earlier findings arise because identification of the discrete choice model relies on a misspecified model of belief updating in response to preceding announcements.
We also give a detailed comparison of our model with Konolige's deduction model, another model of belief in which the believer's reasoning mechanism is a parameter.
To determine what information people use in forming beliefs about pharmacists' trustworthiness and to determine whether these pieces of information can be categorized using elements of a model of belief processing.
Using salient beliefs and categories of web-design elements identified previously, we developed a conceptual model of belief revisions due to exposure to web-design elements and internal cues.
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Overall, results showed that (i) a two-factor model of beliefs (Persecutory and Benevolent beliefs) provides a better fit to the data than a three-factor model, and (ii) emotional and behavioral modes of responding items should not be separated.
We present a Bayesian framework for ToM-based plan recognition, expressing generative models of belief- and desire-dependent planning in terms of partially observable Markov decision processes (POMDPs), and reconstructing an agent's joint belief state and reward function using Bayesian inference, conditioned on observations of the agent's behavior in the context of its environment.
The focus will be on formal models of belief.
They are merely a slight modification of existing models of belief for situations of ambiguity.
Alternative models of belief states can be constructed out of sets of possible worlds (Grove 1988).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com