Learning Systems and Intelligent Robots

1. Front Matter

   Pages i-ix

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2. The Concept of a Linguistic Variable and its Application to Approximate Reasoning

   • L. A. Zadeh

   Pages 1-10

3. Fundamental Concepts and Social Consequences of Artificial Intelligence

   • Shuhei Aida

   Pages 11-31

4. Biorobots for Simulation Studies of Learning and Intelligent Controls

   • Tosio Kitagawa

   Pages 33-46

5. A Mathematical Neuron Model which has a Staircaselike Response Characteristic

   • Jin-ichi Nagumo

   Pages 47-91

6. Performance Aspects of Stochastic Nonlinear System Classification by Pattern Recognition Methods

   • R. F. Hofstadter, G. N. Saridis

   Pages 93-113

7. Algorithmic Techniques for Modeling Nonlinear Functions

   • Lester A. Gerhardt, Takatoshi Miura

   Pages 115-144

8. A Survey of Heuristic Search Method of Multimodal Optimum Point

   • Moriya Oda, Kahei Nakamura, B. F. Womack

   Pages 145-169

9. Basic Search Patterns in Heuristic Search

   • Baxter F. Womack

   Pages 171-190

10. Multi-Modal System Identifications by a Learning Procedure

    • Setsuzo Tsuji, Kousuke Kumamaru, Naotoshi Maeda, Katsuji Tsuruda

    Pages 191-210

11. Learning Dual Control under Complete State Information

    • Kahei Nakamura, Yoshimasa Yoshida

    Pages 211-231

12. On a Class of Variable-Structure Systems

    • Surender K. Gupta, Kuduvally N. Swamy, Tzyh-Jong Tarn, John Zaborszky

    Pages 233-248

13. A Method of Learning Control Varying Search Domain by Fuzzy Automata

    • Seizo Kitajima, Kiyoji Asai

    Pages 249-262

14. Adaptive Computer Aiding in Dynamic Decision Processes

    • Amos Freedy, Gershon Weltman

    Pages 263-271

15. Optimal Learning Recognizer for Unknown Signal Sets in a Channel with Feedback Link

    • Kokichi Tanaka, Shinichi Tamura

    Pages 273-294

16. Computational Algorithms for Interactive Pattern Recognition

    • Y. T. Chien

    Pages 295-316

17. A Methodology for Interactive Systems

    • K. Hanakata

    Pages 317-324

18. Automatic Recognition of Complex Three-Dimensional Objects from Optical Images

    • Robert B. McGhee

    Pages 325-341

19. Eyes of the Wabot

    • S. Ohteru, H. Kobayashi, T. Kato

    Pages 343-364

20. The “Rubber-Mask” Technique-I, Pattern Measurement and Analysis

    • Bernard Widrow

    Pages 365-400

This book contains the Proceedings of the S~cond U. S. -Japan Seminar on Learning Control and Intelligent Control. The seminar, held at Gainesville, Florida, from October 22 to 26, 1973, was sponsored by the U. S. -Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of the twenty-one presented papers are included. The papers cover a variety of topics related to learning control and intelligent control, ranging from pattern recognition to system identification, from learning control to intelligent robots. During the past decade, there has been a considerable increase of interest in problems of machine learning, systems which exhibit learning behavior. In designing a system, if the a priori infor­ mation required is unknown or incompletely known, one approach is to design a system which is capable of learning the unknown infor­ mation during its operation. The learned information will then be used to improve the system's performance. This approach has been used in the design of pattern recognition systems, automatic control systems and system identification algorithms. If we naturally extend our goal to the design of systems which will behave more and more intelligently, learning systems research is only a preliminary step towards a general concept of integrated intelligent systems. One example of this class of systems is the intelligent robot, which integrates pattern recognition. learning and problem-solving into one intelligent system.

• Pattern Matching
• algorithms
• artificial intelligence
• automata
• behavior
• cognition
• control
• intelligence
• learning
• machine learning
• modeling
• pattern recognition
• robot
• simulation

• School of Electrical Engineering, Purdue University, West Lafayette, USA

  K. S. Fu

• Center for Information Research, University of Florida, Gainesville, USA

  Julius T. Tou

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