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Computation and uncertainty in regulated synergetic machines

  • Panos A. Ligomenides
7. Hybrid Approaches To Uncertainty
Part of the Lecture Notes in Computer Science book series (LNCS, volume 521)

Abstract

The uncertainty which is involved in inductive inference, is often dealt with by simulating probability, possibility, or belief theories with digital computers, and by using heuristic methods of inference based on different kinds of logic (binary, multivalued or fuzzy). We suggest that uncertainty may be managed naturally by synergetic (co-operative), self-organizing, dynamic physical systems, which are trained and are regulated to function as pattern-association "computing machines".

List of key word

Uncertainty Synergetic computing Pattern processing 

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References

  1. [1]
    Feynman, R.P.(1982), "Simulating Physics with Computers", Intl. J. Theor. Phys., 21,6/7:467–489.Google Scholar
  2. [2]
    Haken, H.(1983), Synergetics, An Introduction, Springer Ser. Synergetics, vol.1, 3rd ed., Springer.Google Scholar
  3. [3]
    Haken, H.(Ed),(1985), Pattern Formation by Dynamic Systems and Pattern Recognition, Springer Ser. Synergetics, vol.5, Springer.Google Scholar
  4. [4]
    Haken, H.(1987), Advanced Synergetics, Springer Ser. Synergetics, vol.20, 2nd corr. print., Springer.Google Scholar
  5. [5]
    Haken, H.(1988), Information and Self-Organization, Springer Ser. Synergetics, vol.40, Springer.Google Scholar
  6. [6]
    Ligomenides, P. A.(1982), "Symbolic Space Determinations on Physical Limitations", Int'l, J. of Theoretical Phys. 21 (12), 973–978.Google Scholar
  7. [7]
    Ligomenides, P. A.(1986), "On-Line Recognition and Labeling of Behavioral Modalities", Proc. of the Int'l IEEE Conf. on Systems, Man and Cybernetics, Atlanta, GA, October 14–17.Google Scholar
  8. [8]
    Ligomenides, P. A(1987)., "Modeling Uncertainty in Human Perception", in Lecture Notes in Computer Science: Uncertainty in Knowledge-Based Systems, R.R. Yager and B. Bouchon (Eds), Springer-Verlag.Google Scholar
  9. [9]
    Ligomenides, P. A.(1987), "Procedural and Progressive Formal Models of Human Perception", Proc. of the IEEE Conf. on Systems, Man and Cybernetics, Alexandria, VA, October 20–23.Google Scholar
  10. [10]
    Ligomenides, P. A.(1987), "Resemblance, Fuzziness and Uncertainty in Experiential Knowledge Engineering", Proc. of the CAFSFM Int'l Symp. on Fuzzy Sys. and Knowl. Engin., Guangzhou, China, July 10–16.Google Scholar
  11. [11]
    Ligomenides, P. A.(1988), "Intelligent Robotics: Recognition and Reasoning", (Plenary session paper) Proc. of the IEEE Workshop on Languages for Automation, University of Maryland, pp 44–59, August 29–31.Google Scholar
  12. [12]
    Ligomenides, P. A.(1990), "On-Line Visual Prosthesis for a Decision Maker", Proc. of SPIE-OPTCON'90 Conf. on Advances in Intelligent Robotic Systems, Boston, Mass., Nov. 2–4.Google Scholar
  13. [13]
    Ligomenides, P.A.(1988), "Modeling Experiential Knowledge with Procedural Schemata of Holistic Perception", in Lecture Notes in Computer Science: Uncertainty and Intelligent Systems, B.Bouchon,L.Saitta and R.R.Yager (Eds), Springer-Verlag.Google Scholar
  14. [14]
    Ligomenides, P.A.(1990), "Wholistic Processing of Uncertainty in Synergetic Computing Systems", Proc. IEEE Int'l Symp. on Uncertainty Management and Analysis (ISUMA'90), U of Md, Dec.3–5.Google Scholar
  15. [15]
    Ligomenides, P.A.(1991), "Physical Systems as Computing Machines", Heuristics, vol.4, No1.Google Scholar
  16. [16]
    Nicolis, G. and I. PRIGOGINE, (1977), Self-Organization in Nonequilibrium Systems, Wiley, New York.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Panos A. Ligomenides
    • 1
    • 2
  1. 1.Cybernetic Research Lab., EE Dept.University of MarylandCollege Park
  2. 2.CAELUM Research CorporationSilver Spring

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