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Adaptive Agents and Complex Systems

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Intelligent Agents

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 155))

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Abstract

In the definition given by G. Klir, a system S is defined as S = [M, R] where M is a set of objects and R is a set of relations between the objects. We can use this system definition to describe the Logic where the objects are propositions and the relations are the inferential rules. We can also describe the semantics of a linguistic text (semantic web) and many other disciplines. In spite of the success of the system model, we argue that a higher order of systems exists. The systems of order one are ordinary systems with objects and relations. The systems of order two are meta-systems where the relations are transformed into one another. Every transformation changes the relations which are in one context into the image of the same relations in another context. Transformations of relations or functions can be homomorphisms.

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Bibliography

  1. Penna M.P., Pessa E. and Resconi G., General System Logical Theory and its role in cognitive psychology, Third European Congress on Systems Science, Rome, 1–4 October 1996.

    Google Scholar 

  2. Tzvetkova G.V. and Resconi G., Network recursive structure of robot dynamics based on GSLT, European Congress on Systems Science, Rome, 1–4 October 1996.

    Google Scholar 

  3. Resconi G. and Tzvetkova G.V., Simulation of Dynamic Behaviour of robot manipulators by General System Logical Theory, 14-th International Symposium “Manufacturing and Robots” 2527 June, pp.103–106.,Lugano Switzeland,1991

    Google Scholar 

  4. Resconi G. and Hill G., The Language of General Systems Logical Theory: a Categorical View, European Congress on Systems Science, Rome, 1–4 October 1996.

    Google Scholar 

  5. Rattray C., Resconi G. and Hill G., GSLT and software Development Process, Eleventh International Conference on Mathematical and Computer Modelling and Scientific Computing, Georgetown University, Washington D.C.March 31-April 3,1997

    Google Scholar 

  6. Mignani R., Pessa E. and Resconi G., Commutative diagrams and tensor calculus in Riemann spaces, Il Nuovo Cimento, vol. 108B, no. 12. December 1993.

    Google Scholar 

  7. Petrov A.A. Resconi G., Faglia R. and Magnani P.L., General System Logical Theory and its applications to task description for intelligent robot. In Proceeding of the sixth International Conference on Artificial Intelligence and Information Control System of Robots, Smolenize Castle, Slovakia, September 1994.

    Google Scholar 

  8. Minati G. and Resconi G., Detecting Meaning, European Congress on Systems Science, Rome, 1–4 October 1996.

    Google Scholar 

  9. Kazakov G.A. and Resconi G., Influenced Markovian Checking Processes By General System Logical Theory, International Journal General System, vol. 22, pp. 277–296, 1994.

    Article  Google Scholar 

  10. Saunders Mac Lane, Categories for Working Mathematician, Springer-New York, Heidelberg Berlino, 1971.

    MATH  Google Scholar 

  11. Wymore A.W., Model-Based Systems Engineering. CRC Press, 1993.

    Google Scholar 

  12. Mesarovich M.D. and Takahara Y., Foundation of General System Theory. Academic Press, 1975.

    Google Scholar 

  13. Mesarovich M.D. and Takahara Y., Abstract System Theory, In Lecture Notes in Control and Information Science 116. Springer Verlag 1989.

    Google Scholar 

  14. Resconi G. and Jessel M., A General System Logical Theory, International Journal of General Systems, vol. 12, pp. 159–182, 1986.

    Article  MathSciNet  MATH  Google Scholar 

  15. Resconi G. and Wymore A.W., Tricotyledon Theory of System amd General System Logical Theory, Eurocast’97, 1997.

    Google Scholar 

  16. Fatmi H.A., Marcer P.J., Jessel M. and Resconi G., “Theory of Cybernetics and Intelligent Machine based on Lie Commutators”, vol. 16, no. 2, pp 123–164, 1990.

    MATH  Google Scholar 

  17. Kalman R.E., Falb P.L. and Arbib M.A., Topics in Mathematical System Theory. McGraw-Hill Publ., 1969.

    Google Scholar 

  18. Mesarovic M.D. and Takahara Y. Abstract Systems Theory, Lecture Notes in Control and Information, 1989 Systems, Springer—Langer, 1989.

    Google Scholar 

  19. Padulo L. and Arbib M.A., System Theory. WB Saunders, 1974.

    Google Scholar 

  20. Resconi G., Rattray C. and Hill G., “The Language of General Systems Logical Theory (GSLT)”, International Journal of General System, vol. 28, no. 4–5, pp. 383–416, 1999.

    Article  MathSciNet  MATH  Google Scholar 

  21. Rattray C., “Identification and Recognition through Shape in Complex Systems”, 1996.

    Google Scholar 

  22. Marshall G.J. and Behrooz A., “Adaptation Channels, Cybernetics and Systems”, vol.26, no.3, pp.349–365, 1995.

    Google Scholar 

  23. Santilli R.M., Foundation of Theoretical Mechanics, vol I and II: Birkhoffian Generalization of Hamiltonian Mechanics, Springer Verlag, Heidelberg/NewYork, 1982.

    Google Scholar 

  24. James A. Crowell, Martin S. Banks, Krishna V. Shenoy and Richard A. Andersen, Visual self-motion perception during head turns, nature neuroscience, vol. 1, no. 8, pp. 732–737, 1998.

    Google Scholar 

  25. Array F., Norman R.Z. and Cartwright B., Introduction à la thèorie des graphes orientés, Dunod Paris, 1968.

    Google Scholar 

  26. Klir G. Architecture of System Problem Solving. Prenum Press, New York, London, 1985.

    Google Scholar 

  27. Lin Y., “Development of New Theory with Generality to unify diverse disciplines of knowledge and capability of applications”, Int. J General System, vol. 23, pp. 221–239, 1995.

    Article  MATH  Google Scholar 

  28. Gurevich Y., “Sequential Abstract State Machines Capture Sequential Algorithms”, ACM Transactions on Computational Logic, vol. 1, no. 1, pp. 77–111, July 2000.

    Article  MathSciNet  Google Scholar 

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Resconi, G., Jain, L.C. (2004). Adaptive Agents and Complex Systems. In: Intelligent Agents. Studies in Fuzziness and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44401-5_4

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  • DOI: https://doi.org/10.1007/978-3-540-44401-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-06031-1

  • Online ISBN: 978-3-540-44401-5

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