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A Philosophical Foundation For Unification Of Dynamic Modeling Methods Based On Higher-Order Potentialities And Their Reducers

Author

Listed:
  • 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)

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.

Suggested Citation

  • Tibor Bosse & Jan Treur, 2008. "A Philosophical Foundation For Unification Of Dynamic Modeling Methods Based On Higher-Order Potentialities And Their Reducers," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 831-860.
    • Handle: RePEc:wsi:acsxxx:v:11:y:2008:i:06:n:s021952590800188x
    DOI: 10.1142/S021952590800188X
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