Artificial intelligence/ (Record no. 4087)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06782cam a2200217 a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780070087705 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0070087705 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Item number | RIC/A |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rich, Elaine |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial intelligence/ |
| Statement of responsibility, etc. | Elaine Rich, Kevin Knight, Shivashankar B Nair |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3rd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Delhi: |
| Name of publisher, distributor, etc. | Tata McGraw-Hill, |
| Date of publication, distribution, etc. | 2009. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii, 568 p. |
| Other physical details | ill. |
| Dimensions | 26 cm. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PART I: PROBLEMS AND SEARCH<br/>1. What is Artificial Intelligence?<br/>1.1 The AI Problems 4<br/>1.2 The Underlying Assumption 6<br/>1.3 What is an AI Technique? 7<br/>1.4 The Level of the Model 18<br/>1.5 Criteria for Success 20<br/>1.6 Some General References 21<br/>1.7 One Final Word and Beyond 22<br/>2. Problems, Problem Spaces, and Search<br/>2.1 Defining the Problem as a State Space Search 25<br/>2.2 Production Systems 30<br/>2.3 Problem Characteristics 36<br/>2.4 Production System Characteristics 43<br/>2.5 Issues in the Design of Search Programs 45<br/>2.6 Additional Problems 47<br/>3. Heuristic Search Techniques<br/>3.1 Generate-and-Test 50<br/>3.2 Hill Climbing 52<br/>3.3 Best-first Search 57<br/>3.4 Problem Reduction 64<br/>3.5 Constraint Satisfaction 68<br/>3.6 Means-ends Analysis 72<br/><br/><br/>PART II: KNOWLEDGE REPRESENTATION<br/>4. Knowledge Representation Issues<br/>4.1 Representations and Mappings 79<br/>4.2 Approaches to Knowledge Representation 82<br/>4.3 Issues in Knowledge Representation 86<br/>4.4 The Frame Problem 96<br/>5. Using Predicate Logic<br/>5.1 Representing Simple Facts in Logic 99<br/>5.2 Representing Instance and ISA Relationships 103<br/>5.3 Computable Functions and Predicates 105<br/>5.4 Resolution 208<br/>5.5 Natural Deduction 124<br/>6. Representing Knowledge Using Rules<br/>6.1 Procedural Versus Declarative Knowledge 129<br/>-' 6.2 Logic Programming 132<br/>6.3 Forward Versus Backward Reasoning 134<br/>6.4 Matching 138<br/>6.5 Control Knowledge 142<br/>7. Symbolic Reasoning Under Uncertainty<br/>7.1 Introduction to Nonmonotonic Reasoning 147<br/>7.2 Logics for Nonmonotonic Reasoning 150<br/>7.3 Implementation Issues 157<br/>7.4 Augmenting a Problem-solver 158<br/>7.5 Implementation: Depth-first Search 160<br/>7.6 Implementation: Breadth-first Search 166<br/>8. Statistical Reasoning<br/>3.1 Probability and Bayes' Theorem 172<br/>8.2 Certainty Factors and Rule-based Systems 174<br/>8.3 Bayesian Networks 179<br/>8.4 Dempster-Shafer Theory 181<br/>8.5 Fuzzy Logic 184<br/>9. Weak Slot-and-Filler Structures<br/>9.1 Semantic Nets 188<br/>9.2 Frames 193<br/>10. Strong Slot-and-Filler Structures<br/>10.1 Conceptual Dependency 207<br/>10.2 Scripts 212<br/>10.3 CYC 216<br/>11. Knowledge Representation Summary<br/>11.1 Syntactic-semantic Spectrum of Representation 222<br/>11.2 Logic and Slot-and-filler Structures 224<br/>11.3 Other Representational Techniques 225<br/>11.4 Summary of the Role of Knowledge 227<br/><br/><br/>PART III: ADVANCED TOPICS<br/>12. Game Playing<br/>12.1 Overview 231.<br/>12.2 The Minimax Search Procedure 233<br/>12.3 Adding Alpha-beta Cutoffs 236<br/>12.4 Additional Refinements 240<br/>12.5 Iterative Deepening 242<br/>12.6 References on Specific Games 244<br/>13. Planning<br/>13.1 Overview 247<br/>13.2 An Example Domain: The Blocks World 250.<br/>13.3 Components of a Planning System 250<br/>13.4 Goal Stack Planning 255<br/>13.5 Nonlinear Planning Using Constraint Posting 262<br/>13.6 Hierarchical Planning 268<br/>13.7 Reactive Systems 269<br/>13.8 Other Planning Techniques 269<br/>14. Understanding.<br/>14.1 What is Understanding? 272<br/>14.2 What Makes Understanding Hard? 273<br/>14.3 Understanding as Constraint Satisfaction 278<br/>15. Natural Language Processing<br/>15.1 Introduction 286<br/>15.2 Syntactic Processing 291<br/>15.3 Semantic Analysis 300<br/>15.4 Discourse and Pragmatic Processing 313<br/>15.5 Statistical Natural Language Processing 321<br/>15.6 Spell Checking 325<br/>16. Parallel and Distributed AI<br/>16.1 Psychological Modeling 333<br/>16.2 Parallelism in Reasoning Systems 334<br/>16.3 Distributed Reasoning Systems 336<br/>17. Learning<br/>17.1 What is Learning? 347<br/>17.2 Rote Learning 348<br/>17.3 Learning by Taking Advice 349<br/>17.4 Learning in Problem-solving 351<br/>17.5 Learning from Examples: Induction 355<br/>17.6 Explanation-based Learning 364<br/>17.7 Discovery 367<br/>17.8 Analogy 371<br/>17.9 Formal Learning Theory 372<br/>17.10 Neural Net Learning and Genetic Learning 373<br/>18. Connectionist Models<br/>18.1 Introduction: Hopfield Networks 377<br/>18.2 Learning in Neural Networks 379<br/>18.3 Applications of Neural Networks 396<br/>18.4 Recurrent Networks 399<br/>18.5 Distributed Representations 400<br/>18.6 Connectionist AI and Symbolic AI 403<br/>19. Common Sense<br/>19.1 Qualitative Physics 409<br/>19.2 Common Sense Ontologies 411<br/>19;d Memory Organization 417<br/>19.4 Case-based Reasoning 419<br/>20. Expert Systems<br/>20.1 Representing and Using Domain Knowledge 422<br/>20.2 Expert System Shells 424<br/>20.3 Explanation 425<br/>20.4 Knowledge Acquisition 427<br/>21. Perception and Action<br/>21.1 Real-time Search 433<br/>21.2 Perception 434<br/>21.3 Action 438<br/>21.4 Robot Architectures 441<br/>22. Fuzzy Logic Systems<br/>22.1 Introduction 445<br/>22.2 Crisp Sets 445<br/>22.3 Fuzzy Sets 446<br/>22.4 Some Fuzzy Terminology 446<br/>22.5 Fuzzy Logic Control 447<br/>22.6 Sugeno Style of Fuzzy Inference Processing 453<br/>22.7 Fuzzy Hedges 454<br/>22.8 a Cut Threshold 454<br/>22.9 Neuro Fuzzy Systems 455<br/>22.10 Points to Note 455<br/>23. Genetic Algorithms: Copying Nature's Approaches<br/>23.1 A Peek into the Biological World 457<br/>23.2 Genetic Algorithms (OAs) 458<br/>23.3 Significance of the Genetic Operators 470<br/>23.4 Termination Parameters 471<br/>23.5 Niching and Speciation 471<br/>23.6 Evolving Neural Networks 472<br/>23.7 Theoretical Grounding 474<br/>23.8 Ant Algorithms 476<br/>23.9 Points to'Ponder 477<br/>24. Artificial Immune Systems<br/>24.1 Introduction 479<br/>24.2 The Phenomenon of Immunity 479<br/>24.3 Immunity and Infection 480<br/>24.4 The Innate Immune System—The First Line of Defence 24.5 The Adaptive Immune System—The Second Line of Defence 481<br/>24.6 Recognition 483<br/>24.7 Clonal Selection 484<br/>24.7 Learning 485<br/>24.8 Immune Network Theory 485<br/>24.9 Mapping Immune Systems to Practical Applications 486<br/>24.10 Other Applications 493<br/>24.11 Points to Ponder 493<br/>25. Prolog—The Natural Language of Artificial Intelligence<br/>25.1 Introduction 496<br/>25.2 Converting English to Prolog Facts and Rules 496<br/>25.3 Goals 497<br/>25.4 Prolog Terminology 499<br/>25.5 Variables 499<br/>25.6 Control Structures 500<br/>25.7 Arithmetic Operators 500<br/>25.8 Matching in Prolog 502<br/>25.9 Backtracking 503<br/>25.10 Cuts 505<br/>25.11 Recursion 506<br/>25.12 Lists 508<br/>25.13 Dynamic Databases 512<br/>25.14 Input/Output and Streams 515<br/>25.15 Some Aspects Specific to LPA Prolog 516<br/>26. Conclusion<br/>26.1 Components of an AI Program 529<br/>26.2 AI Skeptics—An Open Argument 529 |
| 650 #0 - SUBJECT | |
| Keyword | Androids |
| 650 #0 - SUBJECT | |
| Keyword | Artificial intelligence. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Knight, Kevin |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nair, Shivashankar B |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | General Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Date last checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 03/07/2016 | 006.3 RIC/A | P18809 | 10/10/2017 | 10/10/2017 | General Books |