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Heuristics and Learning Control (Introduction to Intelligent Control)

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Pattern Recognition and Machine Learning

Abstract

In a phase of engineering development of cybernetics, researches on Artificial Intelligence go on increasing rapidly. Artificial Intelligence includes such pedagogical functions as learning, education, self-organizing, inductive inference, association, heuristics, concept formulation, creation, evolution and so forth, and plays the most serious roles in many problems such as pattern recognition, linguistic analysis, problem-solving, peak-searching, game-playing and so on.

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References

  1. M. Minsky, “Steps Toward Artificial Intelligence”, Proc. IRE, 49, 8/ 30 (Jan. 1961).

    Google Scholar 

  2. M. Minsky, “A Selected, Descriptor-Indexed Bibliography to the Literature on Artificial Intelligence”, IRE Trans. on HFE, 2-1, 39/ 55 (Mar. 1961).

    Google Scholar 

  3. E. A. Feigenbaum and J. Feldman (eds.), Computers and Thought, McGraw (1963).

    Google Scholar 

  4. R. J. Solomonoff, “Some Recent Work in Artificial Intelligence”, Proc. IEEE, 54-12 (Dec. 1966).

    Google Scholar 

  5. A. L. Chernyavskii, “Computer Simulation of the Process of Solving Complex Logical Problems (Heuristic Programming)”, Automation and Remote Control, No.1, 145/167 (Jan. 1967).

    Google Scholar 

  6. E. L. Nappel’baum, “International Symposium on Machine Simulation of the Higher Functions of the Brain”, Automation and Remote Control, No. 8, 12147/1249 (Aug. 1967).

    Google Scholar 

  7. J. R. Slagle, “A Heuristic Program that Solve Symbolic Integration Problems in Freshman Calculus”, in 3), 191/203.

    Google Scholar 

  8. H. Gelernter, “Realization of Geometry-Theorem Proving Machine”, in 3), 153/163.

    Google Scholar 

  9. H. Gelernter, J. R. Hansen and D. W. Loveland, “Explorations of the Geometry-Theorem Proving Machines”, in 3), 153/163.

    Google Scholar 

  10. A. Newell, J. C. Shaw and H. A. Simon, “Empirical Explorations with the Logic Theory Machine—A Case Study in Heuristics”, in 3), 109/133.

    Google Scholar 

  11. F. V. Anufriev, V. V. Fedyurko, et al., “Algorithm for Proving Theorems in Group Theory”, Kibernetika, No. 1 (1966).

    Google Scholar 

  12. A. Newell and H. A. Simon, “GPS, A Program that Simulates Human Thought”, in 3), 279/296.

    Google Scholar 

  13. I. G. Wilson and M. E. Wilson, Information, Computer and System Design, Wiley (1965).

    Google Scholar 

  14. A. Newell, J. C. Shaw and H. A. Simon, “Chess Playing Programs and the Problem of Complexity”, 3), 39/70.

    Google Scholar 

  15. A. L. Samuel, “Some Studies in Machine Learning Using the Game of Checkers”, in 3), 71/108.

    Google Scholar 

  16. A. L. Samuel, “Some Studies in Machine Learning Using the Game of Checkers (II-Recent Progress)”, IBM J., 11–6, 601/917, (Nov. 1967).

    Google Scholar 

  17. E. B. Carne, Artificial Intelligence Techniques, Spartan (1965).

    Google Scholar 

  18. K. Nakano and F. Watanabe, “Simulation of Thinking Process in Game-Playing”, Rept. at Research Meeting of Automata, Inst. Elect. Commu. Engrs. Japan, No. A68-21 (July 1968).

    Google Scholar 

  19. T. Ikeda (ed.), Introduction to Electronic Computers, 260/263, Ohm Books Co. (June 1968).

    Google Scholar 

  20. T. Ikeda and T. Tsuchimoto, “Pentomino and Computer”, bit, 1–1, 84/85 (Mar. 1969).

    Google Scholar 

  21. T. Kitamura, “Automation of Design of IC Logical Network Package”, Electronic Science, 7–8, 73/79 (Aug. 1967).

    Google Scholar 

  22. T. Hayashi, et al., “Automation of Designing IC Computer”, Fujitsu, 19–1, 35/53 (1968).

    Google Scholar 

  23. K. Migarni, “Present State of Design Automation”, Electronics, 12-12, 88/96 (Nov. 1967).

    Google Scholar 

  24. A. N. Mucciardi and E. E. Gose, “Evolutionary Pattern Recognition in Incomplete Nonlinear Multithreshold Networks”, IEEE Trans. on Elec. Computer, 15-2, 257/261 (Apr. 1967).

    Google Scholar 

  25. J. T. Tou, R. E. Thomas and R. J. Cress, “Development of a Mathematical Model of the Human Operator’s Decision-Making Functions”, Battelle Memorial Inst. Rept. (Oct. 1967).

    Google Scholar 

  26. R. E. Thomas and J. T. Tou, “Evolution of Heuristics by Human Operators in Control Systems”, IEEE Trans. SSC, 4-1, 60/71 (Mar. 1968).

    Google Scholar 

  27. M. Oda and K. Nakamura, “A Heuristic Method of Searching an Optimum Point of a Two-Dimensional Multimodal Criterion function”, Instrument and Control Engrs., 7-12, 16/22 (Dec. 1968) and Res. Rept. of Auto. Contr. Lab. Nagoya Univ. 16 (1969).

    Google Scholar 

  28. M. Oda, “Fundamental Discussion of Heuristic Function and its Introduction into Learning Control”, Memoir of Faculty of Eng. Nagoya Univ., 20-1, 327/344, (May, 1968).

    Google Scholar 

  29. M. Oda and B. F. Womack, “A Unified Discussion on Heuristics in Artificial Intelligence”, Proc. of Asilomar Conference, 387/399 (Dec. 10–12, 1969).

    Google Scholar 

  30. M. Oda, B. F. Womack and K. Tsubouchi, “A Pattern Recognizing Study of Palm Reading”, Proc. of Allerton Conference, (Oct. 1970)

    Google Scholar 

  31. J. E. Gibson and K. S. Fu, “Philosophy and State of the Art of Learning Control Systems”, TR-EE, 63–7, Purdue University, (Nov. 1963).

    Google Scholar 

  32. K. Nakamura and M. Oda, “Learning Control and Learning Control Machine”, Information Science Series, Korona-sha (1966)

    Google Scholar 

  33. J. T. Tou and J. D. Hill, “Steps Towards Learning Control”, Preprint of JACC, P. 12, 12/26 (Aug. 1966).

    Google Scholar 

  34. K. Nakmura and M. Oda, Fundamental Principle and Behavior of Learntrols, Computer and Information Sciences-II, Academic Press (1967).

    Google Scholar 

  35. Ya. Z. Tsypkin, “Adaptation, Training and Self-Organization in Automatic Systems”, Automatic and Remote Control, 27–1, 16/51, (Jan. 1967).

    Google Scholar 

  36. K. S. Fu, “Learning Control Systems—Reviews and Outlook”, IEEE Trans. on Automatic Control, 210/221 (April, 1970).

    Google Scholar 

  37. J. M. Mendel and K. S. Fu, Adaptive, Learning and Pattern Recognition Systems, Academic Press (1970).

    Google Scholar 

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© 1971 Plenum Press, New York

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Nakamura, K., Oda, M. (1971). Heuristics and Learning Control (Introduction to Intelligent Control). In: Fu, K.S. (eds) Pattern Recognition and Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7566-5_26

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  • DOI: https://doi.org/10.1007/978-1-4615-7566-5_26

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-7568-9

  • Online ISBN: 978-1-4615-7566-5

  • eBook Packages: Springer Book Archive

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