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A Unified Perspective on Explaining Dynamics by Anticipatory State Properties

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Mechanisms, Symbols, and Models Underlying Cognition (IWINAC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3561))

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Abstract

In Cognitive Science, recently Dynamical Systems Theory (DST) has been advocated as an approach to cognitive modelling that is better suited to the dynamics of cognitive processes than the symbolic/computational approaches are. Often the differences between DST and the symbolic/computational approach are emphasized. However, if two approaches are used also their commonalities can be analysed, and a unifying framework can be sought. In this paper the possibility of such a unifying perspective on dynamics is analysed. The analysis does not only cover dynamics in the cognitive discipline, but also in other disciplines: Physics, Mathematics and Computer Science. The unifying perspective warrants the development of integrated approaches covering both DST aspects and symbolic/computational aspects.

Extended version accepted for Philosophical Psychology Journal.

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Author information

Authors and Affiliations

  1. Department of Philosophy, Utrecht University, Padualaan 8, NL-3584 CS, Utrecht, The Netherlands

    Jan Treur

  2. Department of Artificial Intelligence, Vrije Universiteit Amsterdam, De Boelelaan 1081a, NL-1081 HV, Amsterdam, The Netherlands

    Jan Treur

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  1. Jan Treur
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Editors and Affiliations

  1. E.T.S.I. Informática, Universidad Nacional de Educación a Distancia, 28040, Madrid, Spain

    José Mira

  2. E.T.S. de Ingeniería Informática, Departamento de Intelifencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José R. Álvarez

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Treur, J. (2005). A Unified Perspective on Explaining Dynamics by Anticipatory State Properties. In: Mira, J., Álvarez, J.R. (eds) Mechanisms, Symbols, and Models Underlying Cognition. IWINAC 2005. Lecture Notes in Computer Science, vol 3561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499220_3

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  • DOI: https://doi.org/10.1007/11499220_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26298-5

  • Online ISBN: 978-3-540-31672-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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