SOAR: an architecture for general intelligence
Artificial Intelligence
Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
LEADSTO: a language and environment for analysis of dynamics by simulation
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
Methods for model-based reasoning within agent-based Ambient Intelligence applications
Knowledge-Based Systems
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In the development of disciplines addressing dynamics, a major role was played by the assumption that processes can be modelled 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. The current paper proposes a philosophical framework in terms of potentialities and their reducers to obtain a common philosophical foundation for methods in AI and Cognitive Science to model dynamics. This framework provides a unified philosophical foundation for numerical, symbolic, and hybrid approaches.