{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T18:56:46Z","timestamp":1648580206765},"reference-count":22,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advs. Complex Syst."],"published-print":{"date-parts":[[2008,12]]},"abstract":"<jats:p> 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. <\/jats:p>","DOI":"10.1142\/s021952590800188x","type":"journal-article","created":{"date-parts":[[2009,1,21]],"date-time":"2009-01-21T04:42:38Z","timestamp":1232512958000},"page":"831-860","source":"Crossref","is-referenced-by-count":3,"title":["A PHILOSOPHICAL FOUNDATION FOR UNIFICATION OF DYNAMIC MODELING METHODS BASED ON HIGHER-ORDER POTENTIALITIES AND THEIR REDUCERS"],"prefix":"10.1142","volume":"11","author":[{"given":"TIBOR","family":"BOSSE","sequence":"first","affiliation":[{"name":"Vrije Universiteit Amsterdam, Department of Artificial Intelligence, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JAN","family":"TREUR","sequence":"additional","affiliation":[{"name":"Vrije Universiteit Amsterdam, Department of Artificial Intelligence, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","volume-title":"The Atomic Components of Thought","author":"Anderson J. 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