Modelling dynamics of cognitive agents by higher-order potentialities
InStone, P.; Weiss, G. (ed.), AAMAS '06: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 117-119
Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, May 08 - 12, 2006
Article in monograph or in proceedings
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Stone, P.; Weiss, G. (ed.), AAMAS '06: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
SubjectCommunication and Media
In the development of disciplines addressing dynamics, such as Mathematics and Physics, a major role was played by the assumption that processes can be modelled by introducing certain state properties (also called potentialities) that anticipate in which respect a next state will be different. The current paper is a first exploration of this perspective to analyse and model dynamics. Potentiality-based modelling subsumes quantitative, numerical modelling approaches, such as Dynamical Systems Theory (DST), and qualitative or symbolic modelling approaches to dynamics, such as BDI-modelling, and is applicable to model dynamics in a wide variety of (cognitive and noncognitive) disciplines. Thus, the modelling of dynamics of cognitive agents can be fully integrated with the modelling of other phenomena in Nature.
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