Learning Systems and Intelligent Robots

ISBN-13: 9781468421088 / Angielski / Miękka / 2012 / 452 str.

K. Fu

Opis

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.

Spis treści

The Concept of a Linguistic Variable and its Application to Approximate Reasoning.- Fundamental Concepts and Social Consequences of Artificial Intelligence.- Biorobots for Simulation Studies of Learning and Intelligent Controls.- A Mathematical Neuron Model which Has a Staircaselike Response Characteristic.- Performance Aspects of Stochastic Nonlinear System Classification by Pattern Recognition Methods.- Algorithmic Techniques for Modeling Nonlinear Functions.- A Survey of Heuristic Search Method of Multimodal Optimum Point.- Basic Search Patterns in Heuristic Search.- Multi-Modal System Identifications by a Learning Procedure.- Learning Dual Control under Complete State Information.- On a Class of Variable-Structure Systems.- A Method of Learning Control Varying Search Domain by Fuzzy Automata.- Adaptive Computer Aiding in Dynamic Decision Processes.- Optimal Learning Recognizer for Unknown Signal Sets in a Channel with Feedback Link.- Computational Algorithms for Interactive Pattern Recognition.- A Methodology for Interactive Systems.- Automatic Recognition of Complex Three-Dimensional Objects from Optical Images.- Eyes of the Wabot.- The “Rubber-Mask” Technique-I, Pattern Meaurement and Analysis.- The “Rubber-Mask” Technique-II, Pattern Storage and Recognition.- Learning Texture Information from Singular Photographs and Its Application in Digital Image Classification.- A Theory of Character Recognition by Pattern Matching Method.