Formalisation and Analysis of the Temporal Dynamics of Conditioning
In order to create adaptive Agent Systems with abilities matching those of their biological counterparts, a natural approach is to incorporate classical conditioning mechanisms into such systems. However, existing models for classical conditioning are usually based on differential equations. Since the design of Agent Systems is traditionally based on qualitative conceptual languages, these differential equations are often not directly appropriate to serve as an input for Agent System design. To deal with this problem, this paper explores a formal description and analysis of a conditioning process based on logical specification and analysis methods of dynamic properties of conditioning. Specific types of dynamic properties are global properties, describing properties of the process as a whole, or local properties, describing properties of basic steps in a conditioning process. If the latter type of properties are specified in an executable format, they provide a temporal declarative specification of a simulation model. Global properties can be checked automatically for simulated or other traces. Using these methods the properties of conditioning processes informally expressed by Los and Heuvel  have been formalised and verified against a specification of local properties based on Machado ’s mathematical model.
KeywordsConditioned Stimulus Unconditioned Stimulus Classical Conditioning Global Property Preceding Trial
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- 2.Bosse, T., Delfos, M.F., Jonker, C.M., Treur, J.: Analysis of Adaptive Dynamical Systems for Eating Regulation Disorders. In: Proc. of the 25th Annual Conf. of the Cognitive Science Society, CogSci 2003, Lawrence Erlbaum Associates, Inc., Mahwah, NJ (2003)Google Scholar
- 3.Bosse, T., Jonker, C.M., Treur, J.: Simulation of Conditioning Mechanisms in Agents. In: Balsa, J., Moniz, L., Reis, L.P. (eds.) Proceedings of the Third Workshop on Multi-Agent Systems: Theory and Applications, MASTA 2005 (2005)Google Scholar
- 4.Dastani, M., Dignum, F., Meyer, J.-J.C.: 3APL: A Programming Language for Cognitive Agents. ERCIM News, European Research Consortium for Informatics and Mathematics, Special issue on Cognitive Systems (53) (2003)Google Scholar
- 8.Los, S.A., van den Heuvel, C.E.: Intentional and Unintentional Contributions to Nonspecific Preparation During Reaction Time Foreperiods. Journal of Experimental Psychology: Human Perception and Performance 27, 370–386 (2001)Google Scholar
- 11.Port, R.F., van Gelder, T.J.: Mind as Motion: Explorations in the Dynamics of Cognition. MIT Press, Cambridge (1995)Google Scholar
- 13.Rist, F., Cohen, R.: Sequential effects in the reaction times of schizophrenics: crossover and modality shift effects. In: Steinhauer, E.R., Gruzelier, J.H., Zubin, J. (eds.) Handbook of schizophrenia. Neuropsychology, psychophysiology and information processing, vol. 5, pp. 241–271. Elsevier, Amsterdam (1991)Google Scholar