Abstract
Within the context of the debate between computationalist and association-ist approaches towards understanding the mind, brain, and behavior a self-organizing model is proposed that can acquire representations of its interaction with the world and derive higher-level representations of these categorizations by means of sequencing and chunking. The model illustrates the properties of an integrated synthetic approach towards modeling behavior based on the notion of convergent validation. The design decisions behind the presented model are made explicit in terms of considerations on the nature of the interaction between an autonomously behaving system and its environment. The results are interpreted towards issues in the domain of cognitive science, psychology, and neurobiology. In addition the progress of the program proposed in this chapter over the last 6 years will be evaluated.
The work presented in this chapter was development in 1992 while the author was at the AI Lab, Institute of Informatics, University of Zurich, Switzerland.
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Verschure, P.F.M.J. (2000). The Cognitive Development of an Autonomous Behaving Artifact: The Self-Organization of Categorization, Sequencing, and Chunking. In: Cruse, H., Dean, J., Ritter, H. (eds) Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic, Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3. Studies in Cognitive Systems, vol 26. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0870-9_57
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DOI: https://doi.org/10.1007/978-94-010-0870-9_57
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