Introduction to artificial intelligence and expert systems/ Dan W. Patterson.
Material type: TextPublication details: New Delhi: PHI Learning Private Limited, 1990Description: xv, 448 p ill. 25 cmISBN: 9788120307773Subject(s): Artificial intelligence | Expert systems (Computer science)DDC classification: 006.338Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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General Books | Central Library, Sikkim University | 006.338 PAT/I (Browse shelf(Opens below)) | Available | P18680 |
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006.333 PER/C Case-based reasoning on images and signals / | 006.338 PAT/I Introduction to artificial intelligence and expert systems | 006.338 PAT/I Introduction to artificial intelligence and expert systems / | 006.338 PAT/I Introduction to artificial intelligence and expert systems/ | 006.35 GEO/L Language engineering/ | 006.37 JAH/C Computer vision and applications : a guide for students and practitioners / | 006.4 Pattern Recognition and Image Analysis |
PART 1: INTRODUCTION TO ARTIFICIAL INTELLIGENCE_Overview of Artificial Intelligence. Knowledge: General Concepts. LISP and Other AI Programming Languages.
PART 2: KNOWLEDGE REPRESENTATION_Formalized Symbolic Logics. Dealing with Inconsistencies and Uncertainties. Probabilistic Reasoning. Structured Knowledge: Graphs, Frames, and Related Structures. Object-Oriented Representations.
PART 3: KNOWLEDGE ORGANIZATION AND MANIPULATION_Search and Control Strategies. Matching Techniques. Knowledge Organization and Management.
PART 4: PERCEPTION, COMMUNICATION, AND EXPERT SYSTEMS_Natural Language Processing. Pattern Recognition. Visual Image Understanding. Expert Systems Architectures.
PART 5: KNOWLEDGE ACQUISITION_General Concepts in Knowledge Acquisition. Early Work in Machine Learning. Learning by Induction. Examples of Other Inductive Learners. Analogical and Explanation-Based Learning.
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