Artificial IntelligenceThis book has been written keeping in view the requirements of undergraduate and postgraduate students and research scholars in the area of computer science and engineering in particular, and other branches of engineering which deal with the study of AI such as electronics engineering, electrical engineering, industrial engineering (robotics and FMS). Besides the engineering students, the postgraduate students of computer science and computer applications and cognitive sciences researchers can equally benefit from this text. The basic concepts of artificial intelligence, together with knowledge representation, reasoning methods, acquisition, management and distributed architecture, have been nicely and instructively described. The various application domains and disciplines in engineering, management, medicine which cover different aspects of design, assembly and monitoring, have been presented with utility aspects of AI concepts in logic and knowledge. The book maintains a simple and comprehensible style of presentation for the different categories of readers such as students, researchers and professionals for their respective uses. |
Contents
RaviB Mishra 01pdf | 2 |
RaviB Mishra 02pdf | 26 |
RaviB Mishra 04pdf | 76 |
RaviB Mishra 05pdf | 89 |
Book Not final6pdf | 121 |
RaviB Mishra 0810pdf | 177 |
RaviB Mishra 1115pdf | 246 |
RaviB Mishra 1621pdf | 363 |
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Common terms and phrases
adaptation agent algorithm analysis application approach artificial intelligence attributes automation backward chaining basic belief case-based case-based reasoning Chapter cluster complex components concepts conflict data mining database decision default defined deployed described developed diagnosis domain engineering entities environment ES shell evaluation example expert system frame function given goal graphics heuristic hypothesis implemented inference inference engine input integration interaction knowledge acquisition knowledge base knowledge representation knowledge-based system LISP logic machine translation matching mechanism methodology methods module MYCIN n-grams natural language natural language processing node object output parameters particular performed planning predicate problem PROLOG query reasoning represented retrieval reuse robot rule-based model rules salient features Sanskrit scheduling selection semantic semantic net sentence shown in Figure solution specific steps strategy structure Table task temporal logic types user interface user’s variables various