Patterson, W. Dan   <br/><br/>
Introduction to Artificial Intelligence and Expert Systems 
Dan W. Patterson 
 - 15 
 - Chennai  Pearson Education  1990 
 - 448p 
<br/><br/> Part 1: Introduction to Artificial Intelligence - Overview of Artificial Intelligence<br/>Knowledge: General Concepts<br/>LISP and Other AI Programming Languages<br/>Part 2: Knowledge Representation - Formalized Symbolic Logics<br/>Dealing with Inconsistencies and Uncertainties<br/>Probabilistic Reasoning<br/>Structured Knowledge: Graphs, Frames and Related Structures<br/>Object Oriented Representations<br/>Part 3: Knowledge Organization and Manipulation - Search and Control Strategies<br/>Matching Techniques<br/>Knowledge Organization and Management<br/>Part 4: Perception, Communication and Expert Systems - Natural Language Processing<br/>Pattern Recognition<br/>Visual Image Understanding<br/>Expert Systems Architectures<br/>Part 5: Knowledge Acquisition - General Concepts in Knowledge Acquisition<br/>Early Work in Machine Learning<br/>Learning by Induction<br/>Examples of Other Inductive Learners<br/>Analogical and Explanation Based Learning<br/>  
<br/><br/> This text provides comprehensive treatment of all important topics in artificial intelligence and expert systems - presented from a knowledge based systems approach. The text covers the knowledge and knowledge representation methods in both breadth and detail, with many examples, covers the latest results in all key areas of AI, including knowledge representation, pattern matching, natural language processing, computer vision, memory organization, pattern recognition, expert systems, neural networks, AI tools and machine learning. throughout. The book provides chapter introductions and chapter summaries. 
<br/><br/><label>ISBN: </label>9789332551947 
<br/><br/><label>Dewey Class. No.: </label>006.3  / PAT