Modelling dynamics of cognitive agents by higher-order potentialities

Authors:
Tibor Bosse;Jan Treur
Affiliations:
Vrije Universiteit Amsterdam, HV Amsterdam, The Netherlands;Utrecht University, CS Utrecht, The Netherlands and Vrije Universiteit Amsterdam, HV Amsterdam, The Netherlands
Venue:
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Year:
2006

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Abstract

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.