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
Display more detailsDisplay less details
SW OZ BSI CW
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.
This item appears in the following Collection(s)
- Non RU Publications 
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.