Solving the Partition Problem: Signaling Games and the Cost-Based Perception Model.
Signaling games have been widely used as a powerful theoretical tool for investigating the propositional content of signals in the evolution of language and communication. Although significant progress has been made, information-theoretic approaches to content within the sender-receiver framework fa...
| Publicado en: | Erkenntnis Vol. 91; no. 4; pp. 2035 - 2063 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=194808489&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 194808489 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01650106 5KZ jtl: Erkenntnis issn: 01650106 maglogo: N pubinfo: dt: Apr2026 vid: 91 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 194808489 10.1007/s10670-025-00979-9 ppf: 2035 ppct: 28 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Solving the Partition Problem: Signaling Games and the Cost-Based Perception Model. aug: au: Wang, Jidong Zhang, Mingjun affil: https://ror.org/013q1eq08 School of Philosophy, Fudan University, Room 2519, Guanghua West Main Building, 220 Handan Road, Shanghai, China su: Reinforcement learning Game theory Communication models Information theory sug: subj: Reinforcement learning Game theory Communication models Information theory ab: Signaling games have been widely used as a powerful theoretical tool for investigating the propositional content of signals in the evolution of language and communication. Although significant progress has been made, information-theoretic approaches to content within the sender-receiver framework face what Jonathan Birch calls the "partition problem." In this article, we address this problem by integrating signaling games with cost-based perception to model the internal state of an organism as it perceives objects in its environment. We propose a simple model that shows how an organism can spontaneously learn to partition external states in different ways through reinforcement learning, thereby offering a promising solution to the partition problem. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Erkenntnis is a copyright of Springer, 2026. All Rights Reserved. item: Erkenntnis holder: Springer Nature dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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