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...
| Published in: | Synthese Vol. 199; no. 5/6; pp. 14097 - 14120 |
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| Format: | Article |
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Springer Nature
Dec2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=154480450&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 154480450 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Dec2021 vid: 199 iid: 5/6 pid: 237 pub: Springer Nature artinfo: ui: 154480450 10.1007/s11229-021-03412-0 ppf: 14097 ppct: 23 formats: fmt: @attributes: type: P size: 840KB tig: atl: Evolutionary psychology, learning, and belief signaling: design for natural and artificial systems. aug: au: Funkhouser, Eric affil: Department of Philosophy, University of Arkansas, Fayetteville, AR, USA su: Evolutionary psychology Goal (Psychology) Cognitive science Theory of knowledge Reinforcement learning sug: subj: Evolutionary psychology Goal (Psychology) Cognitive science Theory of knowledge Reinforcement learning keyword: Belief Mindreading Signaling ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2021. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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