Artificial IntelligenceI. K. International Pvt Ltd, 2013 M12 30 - 480 pages AI is an emerging discipline of computer science. It deals with the concepts and methodologies required for computer to perform an intelligent activity. The spectrum of computer science is very wide and it enables the computer to handle almost every activity, which human beings could. It deals with defining the basic problem from viewpoint of solving it through computer, finding out the total possibilities of solution, representing the problem from computational orientation, selecting data structures, finding the solution through searching the goal in search space dealing the real world uncertain situations etc. It also develops the techniques for learning and understanding, which make the computer able to exhibit an intelligent behavior. The list is exhaustive and is applied now a days in almost every field of technology. This book presents almost all the components of AI like problem solving, search techniques, knowledge concepts, expert system and many more in a very simple language. One of the unique features of this book is inclusion of number of solved examples; in between the chapters and also at the end of many chapters. Real life examples have been discussed to make the reader conversant with the intricate phenomenon of computer science in general, and artificial intelligence in particular. The book is primarily developed for undergraduate and postgraduate engineering students. |
Contents
INTRODUCTION 127 | 1 |
PROBLEM SOLVING THROUGH AI 2861 | 28 |
HEURISTIC SEARCH 62105 | 62 |
Heuristic Function | 78 |
INTRODUCTION TO KNOWLEDGE 106125 | 106 |
LOGIC 126171 | 126 |
ADVANCED KNOWLEDGE REPRESENTATION | 172 |
PROGRAMMING 196239 LANGUAGES | 196 |
REASONING WITH UNCERTAINTY 240300 | 240 |
NATURAL LANGUAGE PROCESSING 301347 | 301 |
MACHINE LEARNING PLANNING UNDERSTANDING 348382 | 348 |
APPLICATIONS OF AI 383414 | 383 |
EXPERT SYSTEMS 415439 | 415 |
440 | |
449 | |
Common terms and phrases
action algorithm analysis answer applications approach arguments assigned basic belief calculus called chapter clauses combined complete concept conceptual graph conclusion condition considered consists defined dependency described designed developed discussed domain element engineering evaluation evidence example expert system expression facts formal function give given goal grammar graph Hence heuristic human important indicates inference input intelligent interpretation knowledge knowledge base learning LISP logic machine match means mentioned method move natural language node object operator organization parsing particular path pattern perform person possible predicate present probability problem procedure production proposition reasoning representation represented result rules semantic sentence shown situation solution solving space steps stored structure student symbol task techniques theory tree true understanding variable various