Natural Concepts and the Economics of Cognition and Communication.

This article takes a cognitive approach to natural concepts. The aim is to introduce criteria that are evaluated with respect to how they support the cognitive economy of humans when using concepts in reasoning and communicating with them. I first present the theory of conceptual spaces as a tool fo...

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Publicado en:Philosophia Vol. 52; no. 4; pp. 865 - 883
Autor principal: Gärdenfors, Peter
Formato: Artículo
Publicado: Springer Nature Sep2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Natural Concepts and the Economics of Cognition and Communication.
      aug:
        au: Gärdenfors, Peter
        affil: https://ror.org/012a77v79 Department of Philosophy and Cognitive Science, Lund University, Lund, Sweden
      su:
        Concept learning
        Communication
        Mathematical models
        Coherent states
        Convex domains
      sug:
        subj:
          Concept learning
          Communication
          Mathematical models
          Coherent states
          Convex domains
      keyword:
        Coherence
        Conceptual spaces
        Convexity
        Force dynamic
        Generalization
        Geometric models
        Natural concepts
      ab: This article takes a cognitive approach to natural concepts. The aim is to introduce criteria that are evaluated with respect to how they support the cognitive economy of humans when using concepts in reasoning and communicating with them. I first present the theory of conceptual spaces as a tool for expressing the criteria. Then I introduce the central idea that natural concepts correspond to convex regions of a conceptual space. I argue that this criterion has far-reaching consequences as regards natural concepts. Partly following earlier work, I present some other criteria that further delimit the class of natural concepts. One of these is coherence, which does not seem to have been discussed previously. Finally, I show that convexity and other criteria make it possible to ensure that people mean the same thing when they communicate using concepts. Apart from its philosophical interest, the analysis presented in the article will be relevant for tasks of conceptual engineering in artificial systems that work with concepts.
      pubtype: Academic Journal
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    language: English
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