Artificial Intelligence. (Record no. 25589)
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| fixed length control field | 06371nam a22003493i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC5126542 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190105115225.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 181231s2008 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9788131743744 |
| Qualifying information | (electronic bk.) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC5126542 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL5126542 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaONFJC)MIL265058 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1024273998 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23rd |
| Classification number | 006.3 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Luger, George F. |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial Intelligence. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 6th ed. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (779 pages) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Contents -- Preface -- Publisher's Acknowledgements -- PART I: ARTIFICIAL INTELLIGENCE: ITS ROOTS AND SCOPE -- 1 AI: HISTORY AND APPLICATIONS -- 1.1 From Eden to ENIAC: Attitudes toward Intelligence, Knowledge, and Human Artifice -- 1.2 Overview of AI Application Areas -- 1.3 Artificial Intelligence-A Summary -- 1.4 Epilogue and References -- 1.5 Exercises -- PART II: ARTIFICIAL INTELLIGENCE AS REPRESENTATION AND SEARCH -- 2 THE PREDICATE CALCULUS -- 2.0 Introduction -- 2.1 The Propositional Calculus -- 2.2 The Predicate Calculus -- 2.3 Using Inference Rules to Produce Predicate Calculus Expressions -- 2.4 Application: A Logic-Based Financial Advisor -- 2.5 Epilogue and References -- 2.6 Exercises -- 3 STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH -- 3.0 Introduction -- 3.1 Graph Theory -- 3.2 Strategies for State Space Search -- 3.3 Using the State Space to Represent Reasoning with the Predicate Calculus -- 3.4 Epilogue and References -- 3.5 Exercises -- 4 HEURISTIC SEARCH -- 4.0 Introduction -- 4.1 Hill Climbing and Dynamic Programming -- 4.2 The Best-First Search Algorithm -- 4.3 Admissibility, Monotonicity, and Informedness -- 4.4 Using Heuristics in Games -- 4.5 Complexity Issues -- 4.6 Epilogue and References -- 4.7 Exercises -- 5 STOCHASTIC METHODS -- 5.0 Introduction -- 5.1 The Elements of Counting -- 5.2 Elements of Probability Theory -- 5.3 Applications of the Stochastic Methodology -- 5.4 Bayes' Theorem -- 5.5 Epilogue and References -- 5.6 Exercises -- 6 CONTROL AND IMPLEMENTATION OF STATE SPACE SEARCH -- 6.0 Introduction -- 6.1 Recursion-Based Search -- 6.2 Production Systems -- 6.3 The Blackboard Architecture for Problem Solving -- 6.4 Epilogue and References -- 6.5 Exercises -- PART III: CAPTURING INTELLIGENCE: THE AI CHALLENGE -- 7 KNOWLEDGE REPRESENTATION -- 7.0 Issues in Knowledge Representation. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 7.1 A Brief History of AI Representational Systems -- 7.2 Conceptual Graphs: A Network Language -- 7.3 Alternative Representations and Ontologies -- 7.4 Agent Based and Distributed Problem Solving -- 7.5 Epilogue and References -- 7.6 Exercises -- 8 STRONG METHOD PROBLEM SOLVING -- 8.0 Introduction -- 8.1 Overview of Expert System Technology -- 8.2 Rule-Based Expert Systems -- 8.3 Model-Based, Case Based, and Hybrid Systems -- 8.4 Planning -- 8.5 Epilogue and References -- 8.6 Exercises -- 9 REASONING IN UNCERTAIN SITUATIONS -- 9.0 Introduction -- 9.1 Logic-Based Abductive Inference -- 9.2 Abduction: Alternatives to Logic -- 9.3 The Stochastic Approach to Uncertainty -- 9.4 Epilogue and References -- 9.5 Exercises -- PART IV: MACHINE LEARNING -- 10 MACHINE LEARNING: SYMBOL-BASED -- 10.0 Introduction -- 10.1 A Framework for Symbol-based Learning -- 10.2 Version Space Search -- 10.3 The ID3 Decision Tree Induction Algorithm -- 10.4 Inductive Bias and Learnability -- 10.5 Knowledge and Learning -- 10.6 Unsupervised Learning -- 10.7 Reinforcement Learning -- 10.8 Epilogue and References -- 10.9 Exercises -- 11 MACHINE LEARNING: CONNECTIONIST -- 11.0 Introduction -- 11.1 Foundations for Connectionist Networks -- 11.2 Perceptron Learning -- 11.3 Backpropagation Learning -- 11.4 Competitive Learning -- 11.5 Hebbian Coincidence Learning -- 11.6 Attractor Networks or "Memories" -- 11.7 Epilogue and References -- 11.8 Exercises -- 12 MACHINE LEARNING: GENETIC AND EMERGENT -- 12.0 Genetic and Emergent Models of Learning -- 12.1 The Genetic Algorithm -- 12.2 Classifier Systems and Genetic Programming -- 12.3 Artificial Life and Society-Based Learning -- 12.4 Epilogue and References -- 12.5 Exercises -- 13 MACHINE LEARNING: PROBABILISTIC -- 13.0 Stochastic and Dynamic Models of Learning -- 13.1 Hidden Markov Models (HMMs). |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 13.2 Dynamic Bayesian Networks and Learning -- 13.3 Stochastic Extensions to Reinforcement Learning -- 13.4 Epilogue and References -- 13.5 Exercises -- PART V: ADVANCED TOPICS FOR AI PROBLEM SOLVING -- 14 AUTOMATED REASONING -- 14.0 Introduction to Weak Methods in Theorem Proving -- 14.1 The General Problem Solver and Difference Tables -- 14.2 Resolution Theorem Proving -- 14.3 PROLOG and Automated Reasoning -- 14.4 Further Issues in Automated Reasoning -- 14.5 Epilogue and References -- 14.6 Exercises -- 15 UNDERSTANDING NATURAL LANGUAGE -- 15.0 The Natural Language Understanding Problem -- 15.1 Deconstructing Language: An Analysis -- 15.2 Syntax -- 15.3 Transition Network Parsers and Semantics -- 15.4 Stochastic Tools for Language Understanding -- 15.5 Natural Language Applications -- 15.6 Epilogue and References -- 15.7 Exercises -- PART VI: EPILOGUE -- 16 ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY -- 16.0 Introduction -- 16.1 Artificial Intelligence: A Revised Definition -- 16.2 The Science of Intelligent Systems -- 16.3 AI: Current Challanges and Future Directions -- 16.4 Epilogue and References -- Bibliography -- Author Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z -- Subject Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version: |
| Main entry heading | Luger, George F |
| Title | Artificial Intelligence: Structures and Strategies for Complex Problem Solving |
| Place, publisher, and date of publication | Noida : Pearson India,c2008 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/cethalassery/detail.action?docID=5126542">https://ebookcentral.proquest.com/lib/cethalassery/detail.action?docID=5126542</a> |
| Public note | Click to View |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Materials specified (bound volume or other part) | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Online access | CENTRAL LIBRARY | Digital Library | Digital Library | 05/01/2019 | 006.3 LUG-A6 | E0114 | 05/01/2019 | 05/01/2019 | E- Books |