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System behaviour and computing structure

Knowledge Based Systems, Artificial Perception And CAST
Part of the Lecture Notes in Computer Science book series (LNCS, volume 410)

Abstract

The purpose of this work is of a methodological and conceptual nature. My aim is to comment some ideas about the relation between the double computational structure of a system (processors and processes) and the observable conduct as well as the amount of knowledge we need to inject to obtain a complete description of the system we are considering, whether it is natural or artificial (systhesis). The work is motivated from studies in neuronal computing and tries to be of a certain interest for cognoscitive sciences, artificial intelligence and general theory of systems. Eventually it is possible that it will be of interest in the practical aspects of artificial vision, perceptual robotics, and CAST.

In short, system behavior can only by directly related to details of computing structure (both hard and soft) at very low semantic levels. After this, to understand computing structure from system behaviour analysis we need to inject knowledge, assume it and proceed to check our hypothesis.

Keywords

Striate Cortex Computing Structure Organizational Principle Finite State Automaton Proper Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. AGHA, G. (1986): "ACTORS: A model of concurrent computation in distributed systems". The MIT Press. Cambridge. Mass.Google Scholar
  2. CAJAL, S.R. (1952): "Histologie du systéme nerveux de l'homme et des vertébrés". Vol. 1 y 2. Maloine. París.Google Scholar
  3. FAHLMAN, S.E. and HINTON, G.E. (1987). "Connectionistic architectures for artificial intelligence". Computer. Vol. 20, No. 1, pp. 100–109.Google Scholar
  4. FELDMAN, J.A. et al. (1988): "Computing with structured connectionist networks". Communications of the ACM, Vol. 31, No. 2, pp. 170–187.Google Scholar
  5. HUBEL, D.H. and WIESEL, T.N. (1962): "Receptive fields, binocular interaction and functional architecture in the cats visual cortex". J. Physiol. 166, pp. 106–154. London.Google Scholar
  6. HUBEL, D.H. and WIESEL, T.N. (1968): "Receptive fields and functional architecture of monkey striate cortex". J. Physiol. 195, pp. 215–243. London.PubMedGoogle Scholar
  7. KILMER, W. and McCULLOCH, W.S. (1969): "The reticular formation command and control system". In: "Information Processing in The Nervous System". Ed. by K.N. Leibovic. Springer-Verlag. Berlín.Google Scholar
  8. LINDSAY, R.B. and MARGENAU, H. (1957). "Foundations of Physics". Dover Publications, Inc., New York.Google Scholar
  9. LORENTE DE NO, M.D. (1933): "J. fr Psychol. un Neurol.", 45, 6, pp, 381–438.Google Scholar
  10. MARR, D. (1977): "Artificial intelligence. A personal view". Artificial Intelligence, 9, pp. 37–48.Google Scholar
  11. MARR, D. (1982): "Vision". W.H. Freeman and Company. New York.Google Scholar
  12. MATURANA, H.R. (1975): "The organization of the living: A theory of the living organization". Int. J. Man-Machine Studies, 7, pp. 313–332.Google Scholar
  13. MELSA, J.L. and SCHULTZ, D.G. (1969): "Linear control systems". McGraw-Hill. New York.Google Scholar
  14. MINSKY, M. (1986): "The society of mind". Simon and Schuster Inc. New York.Google Scholar
  15. MIRA, J. and FONSECA, J.S. da (1970): "Neural nets from the viewpoint of signification and intention". In: "Signification and Intention". Ed. by J.S. da Fonseca. Facultade de Medicina. Universidad de Lisboa.Google Scholar
  16. MIRA, J., DELGADO, A.E. and MORENO-DIAZ, R. (1980): "Cooperative processes in cerebral dynamic". In Applications of Information and Control Systems. D.G. Lainiotis and N.S. Tzannes eds. D. Reidel Pub. Co. Dordrecht, pp. 273–280.Google Scholar
  17. MIRA, J. et al. (1981): "On the lesion tolerance problem for co-operative processes". In Implementing Functions: "Microprocessors and Firmware". Ed. by L. Richter. North-Holland, pp. 71–80.Google Scholar
  18. MIRA, J. et al. (1983): "A theoretical proposal to embody co-operative decision in the nervous system". International Conference on World Problems and Systems Learning, pp. 23–27. Detroit. Michigan.Google Scholar
  19. MIRA, J., MORENO-DIAZ, R. and DELGADO, A.E. (1984): "Towards a cybernetic methodology". 6th International Congress of Cybernetics and Systems, 819–824. París.Google Scholar
  20. MIRA, J. and DELGADO, A.E. (1986): "On some fresh air in neural modelling". In R. Trappl (Ed.): "Cybernetics and Systems" 86", pp. 311–318. Reidel Publishing Company.Google Scholar
  21. MIRA, J. and DELGADO, A.E. (1987): "A logical model of co-operative processes in cerebral dynamics". Cybernetics and Systems: An International Journal, 18, pp. 319–349.Google Scholar
  22. MIRA, J. and DELGADO, A.E. (1988) "On processors and processes in neural computing machines". Proc Third Int. Symp. on Knowledge Engineering. pp. 203–213. Madrid.Google Scholar
  23. MIRA, J. et al. (1989): "Towards a computational theory of systems. Some cases study". In this volume.Google Scholar
  24. MOORE, E.F. (1956): "Gendanken-Experiments on sequential machins". In: "Automata Studies". C.E. Shannon and J. McCarty (Eds.), pp. 129–153, Princeton Univ. Press. Princeton.Google Scholar
  25. MORENO-DIAZ, R. and MIRA, J. (1987): "Architectures for integrating artificial perception and action". Proceedings of INTERKIBERNETIK'87. pp. 205–211.Google Scholar
  26. SCHWARTZ, E.L. (1980): "Computational Anatomy and functional architecture of striate cortex: A spatial mapping approach to perceptual coding". Vision Research Vol. 20 pp. 645–669.PubMedGoogle Scholar
  27. VARELA, F.J. (1979): "Principles of biological autonomy". North-Holland N. York.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • J. Mira
    • 1
  1. 1.Departamento de Informática y Automática Facultad de CienciasUniversidad Nacional De Education A DistanciaMadridSpain

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