Artificial Intelligence : (Record no. 2974)
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| fixed length control field | 11464nam a22005293i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC6563568 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260623163342.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| 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 | 260525s2021 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781292401171 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781292401133 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC6563568 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL6563568 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1249474683 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q335 .R877 2022 |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Russell, Stuart. |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial Intelligence : |
| Remainder of title | a Modern Approach, Global Edition. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 4th ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Harlow : |
| Name of producer, publisher, distributor, manufacturer | Pearson Education, Limited, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | �2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (1167 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Half Title -- AI Pearson Series in Artificial Intelligence -- Title Page -- Copyright -- Dedication -- Preface -- About the Authors -- Contents -- I: Artificial Intelligence -- Chapter 1: Introduction -- 1.1 What Is AI? -- 1.2 The Foundations of Artificial Intelligence -- 1.3 The History of Artificial Intelligence -- 1.4 The State of the Art -- 1.5 Risks and Benefits of AI -- Summary -- Bibliographical and Historical Notes -- Chapter 2: Intelligent Agents -- 2.1 Agents and Environments -- 2.2 Good Behavior: The Concept of Rationality -- 2.3 The Nature of Environments -- 2.4 The Structure of Agents -- Summary -- Bibliographical and Historical Notes -- II: Problem-solving -- Chapter 3: Solving Problems by Searching -- 3.1 Problem-Solving Agents -- 3.2 Example Problems -- 3.3 Search Algorithms -- 3.4 Uninformed Search Strategies -- 3.5 Informed (Heuristic) Search Strategies -- 3.6 Heuristic Functions -- Summary -- Bibliographical and Historical Notes -- Chapter 4: Search in Complex Environments -- 4.1 Local Search and Optimization Problems -- 4.2 Local Search in Continuous Spaces -- 4.3 Search with Nondeterministic Actions -- 4.4 Search in Partially Observable Environments -- 4.5 Online Search Agents and Unknown Environments -- Summary -- Bibliographical and Historical Notes -- Chapter 5: Constraint Satisfaction Problems -- 5.1 Defining Constraint Satisfaction Problems -- 5.2 Constraint Propagation: Inference in CSPs -- 5.3 Backtracking Search for CSPs -- 5.4 Local Search for CSPs -- 5.5 The Structure of Problems -- Summary -- Bibliographical and Historical Notes -- Chapter 6: Adversarial Search and Games -- 6.1 Game Theory -- 6.2 Optimal Decisions in Games -- 6.3 Heuristic Alpha-Beta Tree Search -- 6.4 Monte Carlo Tree Search -- 6.5 Stochastic Games -- 6.6 Partially Observable Games -- 6.7 Limitations of Game Search Algorithms -- Summary. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Bibliographical and Historical Notes -- III: Knowledge, reasoning, and planning -- Chapter 7: Logical Agents -- 7.1 Knowledge-Based Agents -- 7.2 The Wumpus World -- 7.3 Logic -- 7.4 Propositional Logic: A Very Simple Logic -- 7.5 Propositional Theorem Proving -- 7.6 Effective Propositional Model Checking -- 7.7 Agents Based on Propositional Logic -- Summary -- Bibliographical and Historical Notes -- Chapter 8: First-Order Logic -- 8.1 Representation Revisited -- 8.2 Syntax and Semantics of First-Order Logic -- 8.3 Using First-Order Logic -- 8.4 Knowledge Engineering in First-Order Logic -- Summary -- Bibliographical and Historical Notes -- Chapter 9: Inference in First-Order Logic -- 9.1 Propositional vs. First-Order Inference -- 9.2 Unification and First-Order Inference -- 9.3 Forward Chaining -- 9.4 Backward Chaining -- 9.5 Resolution -- Summary -- Bibliographical and Historical Notes -- Chapter 10: Knowledge Representation -- 10.1 Ontological Engineering -- 10.2 Categories and Objects -- 10.3 Events -- 10.4 Mental Objects and Modal Logic -- 10.5 Reasoning Systems for Categories -- 10.6 Reasoning with Default Information -- Summary -- Bibliographical and Historical Notes -- Chapter 11: Automated Planning -- 11.1 Definition of Classical Planning -- 11.2 Algorithms for Classical Planning -- 11.3 Heuristics for Planning -- 11.4 Hierarchical Planning -- 11.5 Planning and Acting in Nondeterministic Domains -- 11.6 Time, Schedules, and Resources -- 11.7 Analysis of Planning Approaches -- Summary -- Bibliographical and Historical Notes -- IV: Uncertain knowledge and reasoning -- Chapter 12: Quantifying Uncertainty -- 12.1 Acting under Uncertainty -- 12.2 Basic Probability Notation -- 12.3 Inference Using Full Joint Distributions -- 12.4 Independence -- 12.5 Bayes' Rule and Its Use -- 12.6 Naive Bayes Models -- 12.7 The Wumpus World Revisited -- Summary. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Bibliographical and Historical Notes -- Chapter 13: Probabilistic Reasoning -- 13.1 Representing Knowledge in an Uncertain Domain -- 13.2 The Semantics of Bayesian Networks -- 13.3 Exact Inference in Bayesian Networks -- 13.4 Approximate Inference for Bayesian Networks -- 13.5 Causal Networks -- Summary -- Bibliographical and Historical Notes -- Chapter 14: Probabilistic Reasoning over Time -- 14.1 Time and Uncertainty -- 14.2 Inference in Temporal Models -- 14.3 Hidden Markov Models -- 14.4 Kalman Filters -- 14.5 Dynamic Bayesian Networks -- Summary -- Bibliographical and Historical Notes -- Chapter 15: Making Simple Decisions -- 15.1 Combining Beliefs and Desires under Uncertainty -- 15.2 The Basis of Utility Theory -- 15.3 Utility Functions -- 15.4 Multiattribute Utility Functions -- 15.5 Decision Networks -- 15.6 The Value of Information -- 15.7 Unknown Preferences -- Summary -- Bibliographical and Historical Notes -- Chapter 16: Making Complex Decisions -- 16.1 Sequential Decision Problems -- 16.2 Algorithms for MDPs -- 16.3 Bandit Problems -- 16.4 Partially Observable MDPs -- 16.5 Algorithms for Solving POMDPs -- Summary -- Bibliographical and Historical Notes -- Chapter 17: Multiagent Decision Making -- 17.1 Properties of Multiagent Environments -- 17.2 Non-Cooperative Game Theory -- 17.3 Cooperative Game Theory -- 17.4 Making Collective Decisions -- Summary -- Bibliographical and Historical Notes -- Chapter 18: Probabilistic Programming -- 18.1 Relational Probability Models -- 18.2 Open-Universe Probability Models -- 18.3 Keeping Track of a Complex World -- 18.4 Programs as Probability Models -- Summary -- Bibliographical and Historical Notes -- V: Machine Learning -- Chapter 19: Learning from Examples -- 19.1 Forms of Learning -- 19.2 Supervised Learning -- 19.3 Learning Decision Trees -- 19.4 Model Selection and Optimization. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 19.5 The Theory of Learning -- 19.6 Linear Regression and Classification -- 19.7 Nonparametric Models -- 19.8 Ensemble Learning -- 19.9 Developing Machine Learning Systems -- Summary -- Bibliographical and Historical Notes -- Chapter 20: Knowledge in Learning -- 20.1 A Logical Formulation of Learning -- 20.2 Knowledge in Learning -- 20.3 Explanation-Based Learning -- 20.4 Learning Using Relevance Information -- 20.5 Inductive Logic Programming -- Summary -- Bibliographical and Historical Notes -- Chapter 21: Learning Probabilistic Models -- 21.1 Statistical Learning -- 21.2 Learning with Complete Data -- 21.3 Learning with Hidden Variables: The EM Algorithm -- Summary -- Bibliographical and Historical Notes -- Chapter 22: Deep Learning -- 22.1 Simple Feedforward Networks -- 22.2 Computation Graphs for Deep Learning -- 22.3 Convolutional Networks -- 22.4 Learning Algorithms -- 22.5 Generalization -- 22.6 Recurrent Neural Networks -- 22.7 Unsupervised Learning and Transfer Learning -- 22.8 Applications -- Summary -- Bibliographical and Historical Notes -- Chapter 23: Reinforcement Learning -- 23.1 Learning from Rewards -- 23.2 Passive Reinforcement Learning -- 23.3 Active Reinforcement Learning -- 23.4 Generalization in Reinforcement Learning -- 23.5 Policy Search -- 23.6 Apprenticeship and Inverse Reinforcement Learning -- 23.7 Applications of Reinforcement Learning -- Summary -- Bibliographical and Historical Notes -- VI: Communicating, perceiving, and acting -- Chapter 24: Natural Language Processing -- 24.1 Language Models -- 24.2 Grammar -- 24.3 Parsing -- 24.4 Augmented Grammars -- 24.5 Complications of Real Natural Language -- 24.6 Natural Language Tasks -- Summary -- Bibliographical and Historical Notes -- Chapter 25: Deep Learning for Natural Language Processing -- 25.1 Word Embeddings -- 25.2 Recurrent Neural Networks for NLP. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 25.3 Sequence-to-Sequence Models -- 25.4 The Transformer Architecture -- 25.5 Pretraining and Transfer Learning -- 25.6 State of the art -- Summary -- Bibliographical and Historical Notes -- Chapter 26: Robotics -- 26.1 Robots -- 26.2 Robot Hardware -- 26.3 What kind of problem is robotics solving? -- 26.4 Robotic Perception -- 26.5 Planning and Control -- 26.6 Planning Uncertain Movements -- 26.7 Reinforcement Learning in Robotics -- 26.8 Humans and Robots -- 26.9 Alternative Robotic Frameworks -- 26.10 Application Domains -- Summary -- Bibliographical and Historical Notes -- Chapter 27: Computer Vision -- 27.1 Introduction -- 27.2 Image Formation -- 27.3 Simple Image Features -- 27.4 Classifying Images -- 27.5 Detecting Objects -- 27.6 The 3D World -- 27.7 Using Computer Vision -- Summary -- Bibliographical and Historical Notes -- VII: Conclusions -- Chapter 28: Philosophy, Ethics, and Safety of AI -- 28.1 The Limits of AI -- 28.2 Can Machines Really Think? -- 28.3 The Ethics of AI -- Summary -- Bibliographical and Historical Notes -- Chapter 29: The Future of AI -- 29.1 AI Components -- 29.2 AI Architectures -- Appendixes -- Appendix A: Mathematical Background -- A.1 Complexity Analysis and O() Notation -- A.2 Vectors, Matrices, and Linear Algebra -- A.3 Probability Distributions -- Bibliographical and Historical Notes -- Appendix B: Notes on Languages and Algorithms -- B.1 Defining Languages with Backus-Naur Form (BNF) -- B.2 Describing Algorithms with Pseudocode -- B.3 Online Supplemental Material -- Bibliography -- Index -- Symbols -- 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Engage your students with the ever-expanding, fascinating field of AI with this industry-leading text. Artificial Intelligence: A Modern Approach, 4th Edition allows your students to delve into the current technologies and ethical aspects of the discipline. The latest version is updated with fresh content and a new site containing all the exercises. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2026. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence-Handbooks, manuals, etc. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence-Study and teaching. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence-Textbooks. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Norvig, Peter. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Russell, Stuart |
| Title | Artificial Intelligence: a Modern Approach, Global Edition |
| Place, publisher, and date of publication | Harlow : Pearson Education, Limited,c2021 |
| International Standard Book Number | 9781292401133 |
| 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.mlisicats.remotexs.co/lib/ppks/detail.action?docID=6563568">https://ebookcentral-proquest-com.mlisicats.remotexs.co/lib/ppks/detail.action?docID=6563568</a> |
| Public note | Click to View |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | E-Book |
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