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Static-Dynamic Hybridity in Dynamical Models of Cognition

Weinberger, Naftali and Allen, Colin (2021) Static-Dynamic Hybridity in Dynamical Models of Cognition. [Preprint]

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Abstract

Dynamical models of cognition have played a central role in recent cognitive science. In this paper, we consider a common strategy by which dynamical models describe their target systems neither as purely static or purely dynamic, but rather using a hybrid approach. This hybridity reveals why dynamical models should not be understood as providing unstructured descriptions of a system's dynamics, and is important for understanding the relationship between dynamical and non-dynamical representations of a system.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Weinberger, Naftalinaftali.weinberger@gmail.com
Allen, Colincolin.allen@pitt.edu
Keywords: dynamical systems, cognitive science, computation, models
Subjects: General Issues > Causation
Specific Sciences > Cognitive Science
Specific Sciences > Cognitive Science > Computation
General Issues > Models and Idealization
Depositing User: Mr. Naftali Weinberger
Date Deposited: 19 Feb 2021 16:17
Last Modified: 19 Feb 2021 16:17
Item ID: 18730
Subjects: General Issues > Causation
Specific Sciences > Cognitive Science
Specific Sciences > Cognitive Science > Computation
General Issues > Models and Idealization
Date: 6 January 2021
URI: http://philsci-archive.pitt.edu/id/eprint/18730

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