Abstract
The cogitoid is a computational model of cognition introduced recently by the author. In cogitoids, knowledge is represented by a lattice of concepts and associations among them. From computational point of view any cogitoid is an interactive transducer whose transitions from one configuration into the next one depend on the history of past transitions. Cogitoid's computational mechanism makes it possible for cogitoids to perform basic cognitive tasks such as abstraction formation, associative retrieval, causality learning, retrieval by causality, similarity-based behaviour, Pavlovian and operant conditioning, and reinforced learning. In addition, when a cogitoid is exposed to similar interaction as human brain during its existence, emergence of humanoid mind is to be expected. The respective development will subsequently feature emergence of various attentional mechanisms, essential living habits, development of abstract concepts, language understanding and acquisition, and, eventually, emergence of consciousness.
This research was supported by GA čR Grant No. 201/98/0717 and by an EU grant INCO-COOP 96-0195 ‘ALTEC-KIT’ jointly with the accompanying grant of the MšMT čR No. OK-304
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References
Arbib, M. A. (Editor): The Handbook of Brain Theory and Neural Networks. The MIT Press, Cambridge-Massachusetts, London, England, 1995, 1118 p.
Birkhoff, G.: Lattice Theory. American Mathematical Society, New York, 1948
Davis, M.: Mathematical Logic and the Origin of Modern Computers. In: The Universal Turing Machine: A Half-Century Survey, R. Herken (ed.), Springer-Verlag Wien, New York, 1994, pp. 149–174
Dennet, D.C.: Consciousness Explained. Penguin Books, 1991, 511 p.
Goldschlager, L.G.: A Computational Theory of Higher Brain Function. Technical Report 233, April 1984, Basser Department of Computer Science, The University of Sydney, Australia, ISBN 0 909798 91 5
Johnson-Laird, P.: Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness. Cambridge University Press, Cambridge, 1983
Valiant, L.G.: Circuits of the Mind. Oxford University Press, New York, Oxford, 1994, 237 p., ISBN 0-19-508936-X
Wiedermann, J.: The Cogitoid: A Computational Model of Mind. Technical Report No. V-685, September 1996, Institute of Computer Science, Prague, September 1996, 17 p.
Wiedermann, J.: Towards Computational Models of the Brain: Getting Started. Neural Networks World, Vol 7., No.1, 1997, p.89–120
Wiedermann, J.: Towards Machines That Can Think (Invited Talk). In: Proceeding of the 24-th Seminar on Current Trends in Theory and Practice of Informatics SOFSEM'97, LNCS Vol. 1338, Springer Verlag, Berlin, 1997, pp.12–141
Wiedermann, J.: The Cogitoid: A Computational Model of Cognitive Behaviour (Revised Version). Institute of Computer Science, Prague, Technical Report V-743, 1998
Wiedermann, J.: Artificial Cognition: A Gauntlet Thrown to Computer Science. In: Proc. Cognitive Sciences, Slovak Technical University, May 1998; also as Technical Report V-742, Institute of Computer Science, Prague, 1998
Wiedermann, J.: Towards Algorithmic Explanation of Mind Evolution and Functioning. Full version of the present paper. Technical Report ICS AS čR, 1998, to appear
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Wiedermann, J. (1998). Towards algorithmic explanation of mind evolution and functioning. In: Brim, L., Gruska, J., Zlatuška, J. (eds) Mathematical Foundations of Computer Science 1998. MFCS 1998. Lecture Notes in Computer Science, vol 1450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0055764
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DOI: https://doi.org/10.1007/BFb0055764
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