A PHILOSOPHICAL FOUNDATION FOR UNIFICATION OF DYNAMIC MODELING METHODS BASED ON HIGHER-ORDER POTENTIALITIES AND THEIR REDUCERS

Tibor Bosse () and Jan Treur ()
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Tibor Bosse: Vrije Universiteit Amsterdam, Department of Artificial Intelligence, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands
Jan Treur: Vrije Universiteit Amsterdam, Department of Artificial Intelligence, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands

Advances in Complex Systems (ACS), 2008, vol. 11, issue 06, 831-860

Abstract: In the development of disciplines addressing dynamics, a major role was played by the assumption that processes can be modeled by introducing state properties, called potentialities, anticipating in which respect a next state will be different. A second assumption often made is that these state properties can be related to other state properties, called reducers. This paper proposes a philosophical framework in terms of potentialities and their reducers, which can be used to obtain a common philosophical foundation for methods in AI, cognitive science and beyond to model dynamics. Based on this framework a metamodel for dynamic modeling approaches is described. The philosophical framework and the metamodel together provide a unified foundation for numerical, symbolic, and hybrid dynamic modeling approaches used in a large variety of disciplines.

Keywords: Philosopy of science; dynamics; modeling; potentialities (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1142/S021952590800188X

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