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From partners to populations: A hierarchical Bayesian account of coordination and convention.

Robert D. Hawkins, Michael Franke, Michael C. Frank, Adele Ε. Goldberg, Kenny Smith, Thomas L. Griffiths, Noah D. Goodman

2022Psychological Review67 citationsDOIOpen Access PDF

Abstract

over multiple timescales. Partner-specific common ground quickly emerges from social inferences within dyadic interactions, while community-wide social conventions are stable priors that have been abstracted away from interactions with multiple partners. We present new empirical data alongside simulations showing how our model provides a computational foundation for several phenomena that have posed a challenge for previous accounts: (a) the convergence to more efficient referring expressions across repeated interaction with the same partner, (b) the gradual transfer of partner-specific common ground to strangers, and (c) the influence of communicative context on which conventions eventually form. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Topics & Concepts

PsycINFOComputer scienceContext (archaeology)Adaptation (eye)Cognitive psychologyInferenceCognitive sciencePsychologyArtificial intelligencePolitical scienceMEDLINENeuroscienceBiologyPaleontologyLawSpeech and dialogue systemsLanguage and cultural evolutionNatural Language Processing Techniques
From partners to populations: A hierarchical Bayesian account of coordination and convention. | Litcius