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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2021
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8449699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT funkhousereric evolutionarypsychologylearningandbeliefsignalingdesignfornaturalandartificialsystems |