Fictional narrative as a variational Bayesian method for estimating social dispositions in large groups
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Abstract
Modelling intentions in large groups is cognitively costly. Not alone must first order beliefs be tracked (’what does A think about X?’), but also beliefs about beliefs (’what does A think about B’s b...
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James Carney, Cole Robertson, Tamás Dávid-Barrett, Fictional narrative as a variational Bayesian method for estimating social dispositions in large groups, Journal of Mathematical Psychology, Volume 93, 2019, 102279, ISSN 0022-2496, https://doi.org/10.1016/j.jmp.2019.102279.
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