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Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems

Recent work in the cognitive sciences has argued that beliefs sometimes acquire signaling functions in virtue of their ability to reveal information that manipulates “mindreaders.” This paper sketches some of the evolutionary and design considerations that could take agents from solipsistic goal pur...

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Autor principal: Funkhouser, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449699/
https://www.ncbi.nlm.nih.gov/pubmed/34565916
http://dx.doi.org/10.1007/s11229-021-03412-0
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author Funkhouser, Eric
author_facet Funkhouser, Eric
author_sort Funkhouser, Eric
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description Recent work in the cognitive sciences has argued that beliefs sometimes acquire signaling functions in virtue of their ability to reveal information that manipulates “mindreaders.” This paper sketches some of the evolutionary and design considerations that could take agents from solipsistic goal pursuit to beliefs that serve as social signals. Such beliefs will be governed by norms besides just the traditional norms of epistemology (e.g., truth and rational support). As agents become better at detecting the agency of others, either through evolutionary history or individual learning, the candidate pool for signaling expands. This logic holds for natural and artificial agents that find themselves in recurring social situations that reward the sharing of one’s thoughts.
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spelling pubmed-84496992021-09-20 Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems Funkhouser, Eric Synthese Original Research Recent work in the cognitive sciences has argued that beliefs sometimes acquire signaling functions in virtue of their ability to reveal information that manipulates “mindreaders.” This paper sketches some of the evolutionary and design considerations that could take agents from solipsistic goal pursuit to beliefs that serve as social signals. Such beliefs will be governed by norms besides just the traditional norms of epistemology (e.g., truth and rational support). As agents become better at detecting the agency of others, either through evolutionary history or individual learning, the candidate pool for signaling expands. This logic holds for natural and artificial agents that find themselves in recurring social situations that reward the sharing of one’s thoughts. Springer Netherlands 2021-09-18 2021 /pmc/articles/PMC8449699/ /pubmed/34565916 http://dx.doi.org/10.1007/s11229-021-03412-0 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Funkhouser, Eric
Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems
title Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems
title_full Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems
title_fullStr Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems
title_full_unstemmed Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems
title_short Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems
title_sort evolutionary psychology, learning, and belief signaling: design for natural and artificial systems
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449699/
https://www.ncbi.nlm.nih.gov/pubmed/34565916
http://dx.doi.org/10.1007/s11229-021-03412-0
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