anticipatory systems; computing; artificial intelligence; consciousness; natural language
Abstract :
[en] This paper deals with the challenge to create an Artificial Intelligence System with an Artificial Consciousness. For that, an introduction to computing anticipatory systems is presented, with the definitions of strong and weak anticipation. The quasi-anticipatory systems of Robert Rosen are linked to open-loop controllers. Then, some properties of the natural brain are presented in relation to the triune brain theory of Paul D. MacLean, and the mind time of Benjamin Libet, with his veto of the free will. The theory of the hyperincursive discrete anticipatory systems is recalled in view to introduce the concept of hyperincursive free will, which gives a similar veto mechanism: free will as unpredictable hyperincursive anticipation The concepts of endo-anticipation and exo-anticipation are then defined. Finally, some ideas about artificial conscious intelligence with natural language are presented, in relation to the Turing Machine, Formal Language, Intelligent Agents and Mutli-Agent System.
Research Center/Unit :
Centre for Hyperincursion and Anticipation in Ordered Systems (CHAOS asbl) and HEC Management School - University of Liege
Disciplines :
Management information systems Languages & linguistics Neurosciences & behavior Computer science
Author, co-author :
Dubois, Daniel ; Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations
Language :
English
Title :
New Trends in Computing Anticipatory Systems : Emergence of Artificial Conscious Intelligence with Machine Learning Natural Language
Publication date :
2008
Event name :
8th International Conference, CASYS'07, on Computing Anticipatory Systems
Event organizer :
CHAOS, Centre for Hyperincursion and Anticipation in Ordered Systems, asbl, Institut de Mathématique, B37, Université de Liège, Grande Traverse 12, B-4000 Liège 1, Belgique
Event place :
Liège, Belgium
Event date :
du 6 août 2007 au 11 août 2007
Audience :
International
Main work title :
COMPUTING ANTICIPATORY SYSTEMS
Editor :
Dubois, Daniel ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations
Publisher :
AMERICAN INSTITUTE OF PHYSICS, MELVILLE, United States - New York
ISBN/EAN :
078-0-7354-0579-0
Collection name :
AIP Conference Proceedings Series, AIP CP 1051, Daniel M. Dubois, editor
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Bibliography
Aleksander Igor (1995). Artificial neuroconsciousness : an update. In From Natural to Artificial Neural Computation. Lecture Notes in Computer Science. Volume 935, pp. 566-583, Springer Berlin / Heidelberg
Dubois Daniel (1990). LE LABYRINTHE DE L'INTELLIGENCE - De l'intelligence naturelle à l'intelligence fractale. InterEditions (Paris, France) - ACADEMIA (Louvain-la-Neuve, Belgium), 2ème edition revue, 331 p.
Dubois Daniel M. (1999) Hyperincursive McCulloch and Pitts Neurons for Designing a Computing Flip-Flop Memory. Computing Anticipatory Systems: CASYS'98 - Second International Conference. Edited by Daniel M. Dubois, Published by The American Institute of Physics, AIP Conference Proceedings 465, pp. 3-21.
Dubois Daniel M. (2000) Review of Incursive, Hyperincursive and Anticipatory Systems - Foundation of Anticipation in Electromagnetism. Computing Anticipatory Systems: CASYS'99 - Third International Conference. Edited by Daniel. M. Dubois, Published by The American Institute of Physics, AIP Conference Proceedings 517, pp. 3-30.
Dubois Daniel M. (2001). Incursive and Hyperincursive Systems, Fractal Machine, and Anticipatory Logic. Computing Anticipatory Systems: CASYS 2000 - Fourth International Conference. Published by The American Institute of Physics, AIP Conference Proceedings 573, pp. 437-451.
Dubois Daniel M. (2002). Theory of Computing Anticipatory Systems Based on Differential Delayed-Advanced Difference Equations. Computing Anticipatory Systems : CASYS 2001 Fifth International Conference, edited by D. M. Dubois, Published by the American Institute of Physics, AIP CP 627, 2002, pp. 3-16.
Dubois Daniel M. (2003). "Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations," in Anticipatory Behavior in Adaptive Learning Systems, State-of-the-Art Survey, edited by Martin Butz, Oliver Sigaud, and Pierre Gérard, Lecture Notes in Artificial Intelligence, Springer, LNAI2684, pp. 110-132.
Libet Benjamin (2004). MIND TIME - The Temporal, factor in Consciousness, Harvard. University Press, 284 p.
MacLean P. (1990). The Triune Brain in Evolution. New York: Plenum Press.
MacLean Paul D. (1952). "Some psychiatric implications of physiological studies on frontotemporal portion of limbic system (visceral brain)". Electroencephalography and Clinical Neurophysiology 4 (4): 407-418.
McCulloch W. S., Pitts W. (1943), "A logical calculus of the ideas immanent in. nervous activity", Bulletin of mathematical Biophysics, vol 5, pp. 115-133.
Rosen Robert (1985). Anticipatory Systems - Philosophical, Mathematical and Methodological Foundations, Pergamon Press
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