Description
Book SynopsisIf 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.
Table of ContentsThe 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.
