Artificial intelligence : (Record no. 319)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 08315nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20201122133803.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200108b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781292153964 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | KCST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Item number | Ru Ar |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Russell, Stuart |
| 9 (RLIN) | 1085 |
| 245 ## - TITLE STATEMENT | |
| Title | Artificial intelligence : |
| Remainder of title | a modern approach / |
| Statement of responsibility, etc. | Stuart J Russell; Peter Norvig |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3rd ed. Global ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Upper Saddle River : |
| Name of publisher, distributor, etc. | Pearson; |
| Date of publication, distribution, etc. | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1132 p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Prentice Hall Series in Artificial Intelligence |
| 9 (RLIN) | 1086 |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Artificial Intelligence: --<br/>Introduction: --<br/>What is AI? --<br/>Foundations of artificial intelligence --<br/>History of artificial intelligence --<br/>State of the art --<br/>Summary, bibliographical and historical notes, exercises --<br/>Intelligent agents: --<br/>Agents and environments --<br/>Good behavior: concept of rationality --<br/>Nature of environments --<br/>Structure of agents --<br/>Summary, bibliographical and historical notes, exercises --<br/>Problem-Solving: --<br/>Solving problems by searching: --<br/>Problem-solving agents --<br/>Example problems --<br/>Searching for solutions --<br/>Uniformed search strategies --<br/>Informed (heuristic) search strategies --<br/>Heuristic functions --<br/>Summary, bibliographical and historical notes, exercises --<br/>Beyond classical search: --<br/>Local search algorithms and optimization problems --<br/>Local search in continuous spaces --<br/>Searching with nondeterministic actions --<br/>Searching with partial observations --<br/>Online search agents and unknown environments --<br/>Summary, bibliographical and historical notes, exercises --<br/>Adversarial search: --<br/>Games --<br/>Optimal decisions in games --<br/>Alpha-beta pruning --<br/>Imperfect real-time decisions --<br/>Stochastic games --<br/>Partially observable games --<br/>State-of-the-art game programs --<br/>Alternative approaches --<br/>Summary, bibliographical and historical notes, exercises --<br/>Constraint satisfaction problems: --<br/>Defining constraint satisfaction problems --<br/>Constraint propagation: inference in CSPs --<br/>Backtracking search for CSPs --<br/>Local search for CSPs --<br/>Structure of problems --<br/>Summary, bibliographical and historical notes, exercises --<br/>Knowledge, Reasoning, And Planning: --<br/>Logical agents: --<br/>Knowledge-based agents --<br/>Wumpus world --<br/>Logic --<br/>Propositional logic: a very simple logic --<br/>Propositional theorem proving --<br/>Effective propositional model checking --<br/>Agents based on propositional logic --<br/>Summary, bibliographical and historical notes, exercises --<br/>First-order logic: --<br/>Representation revisited --<br/>Syntax and semantics of first-order logic --<br/>Using first-order logic --<br/>Knowledge engineering in first-order logic --<br/>Summary, bibliographical and historical notes, exercises --<br/>Inference in first-order logic: --<br/>Propositional vs first-order inference --<br/>Unification and lifting --<br/>Forward chaining --<br/>Backward chaining --<br/>Resolution --<br/>Summary, bibliographical and historical notes, exercises --<br/>Classical planning: --<br/>Definition of classical planning --<br/>Algorithms for planning as state-space search --<br/>Planning graphs --<br/>Other classical planning approaches --<br/>Analysis of planning approaches --<br/>Summary, bibliographical and historical notes, exercises --<br/>Planning and acting in the real world: --<br/>Time, schedules, and resources --<br/>Hierarchical planning --<br/>Planning and acting in nondeterministic domains --<br/>Multiagent planning --<br/>Summary, bibliographical and historical notes, exercises --<br/>Knowledge representation: --<br/>Ontological engineering --<br/>Categories and objects --<br/>Events --<br/>Mental events and mental objects --<br/>Reasoning systems for categories --<br/>Reasoning with default information --<br/>Internet shopping world --<br/>Summary, bibliographical and historical notes, exercises Uncertain Knowledge And Reasoning: --<br/>Quantifying uncertainty: --<br/>Acting under uncertainty --<br/>Basic probability notation --<br/>Inference using full joint distributions --<br/>Independence --<br/>Bayes' rule and its use --<br/>Wumpus world revisited --<br/>Summary, bibliographical and historical notes, exercises --<br/>Probabilistic reasoning: --<br/>Representing knowledge in an uncertain domain --<br/>Semantics of Bayesian networks --<br/>Efficient representation of conditional distributions --<br/>Exact inference in Bayesian networks --<br/>Approximate inference in Bayesian networks --<br/>Relational and first-order probability models --<br/>Other approaches to uncertain reasoning --<br/>Summary, bibliographical and historical notes, exercises --<br/>Probabilistic reasoning over time: --<br/>Time an uncertainty --<br/>Inference in temporal models --<br/>Hidden markov models --<br/>Kalman filters --<br/>Dynamic Bayesian networks --<br/>Keeping track of many objects --<br/>Summary, bibliographical and historical notes, exercises --<br/>Making simple decisions: --<br/>Combining beliefs and desires under uncertainty --<br/>Basis of utility theory --<br/>Utility functions --<br/>Multiattribute utility functions --<br/>Decision networks --<br/>Value of information --<br/>Decision-theoretic expert systems --<br/>Summary, bibliographical and historical notes, exercises --<br/>Making complex decisions: --<br/>Sequential decision problems --<br/>Value iteration --<br/>Policy iteration --<br/>Partially observable MDPs --<br/>Decisions with multiple agents: game theory --<br/>Mechanism design --<br/>Summary, bibliographical and historical notes, exercises --<br/>Learning: --<br/>Learning from examples: --<br/>Forms of learning --<br/>Supervised learning --<br/>Learning decision trees --<br/>Evaluating and choosing the best hypothesis --<br/>Theory of learning --<br/>Regression and classification with linear models --<br/>Artificial neural networks --<br/>Nonparametric models --<br/>Support vector machines --<br/>Ensemble learning --<br/>Practical machine learning --<br/>Summary, bibliographical and historical notes, exercises --<br/>Knowledge in learning: --<br/>Logical formulation of learning --<br/>Knowledge in learning --<br/>Explanation-based learning --<br/>Learning using relevance information --<br/>Inductive logic programming --<br/>Summary, bibliographical and historical notes, exercises --<br/>Learning probabilistic models: --<br/>Statistical learning --<br/>Learning with complete data --<br/>Learning with hidden variables: the EM algorithm --<br/>Summary, bibliographical and historical notes, exercises --<br/>Reinforcement learning: --<br/>Introduction --<br/>Passive reinforcement learning --<br/>Active reinforcement learning --<br/>Generalization in reinforcement learning --<br/>Policy search --<br/>Applications of reinforcement learning --<br/>Summary, bibliographical and historical notes, exercises --<br/>Communicating, Perceiving, And Acting: --<br/>Natural language processing: --<br/>Language models --<br/>Text classification --<br/>Information retrieval --<br/>Information extraction --<br/>Summary, bibliographical and historical notes, exercises --<br/>Natural language for communication: --<br/>Phrase structure grammars --<br/>Syntactic analysis (parsing) --<br/>Augmented grammars and semantic interpretation --<br/>Machine translation --<br/>Speech recognition --<br/>Summary, bibliographical and historical notes, exercises --<br/>Perception: --<br/>Image formation --<br/>Early image-processing operations --<br/>Object recognition by appearance --<br/>Reconstructing the 3D world --<br/>Object recognition for structural information --<br/>Using vision --<br/>Summary, bibliographical and historical notes, exercises --<br/>Robotics: --<br/>Introduction --<br/>Robot hardware --<br/>Robotic perception --<br/>Planning to move --<br/>Planning uncertain movements --<br/>Moving --<br/>Robotic software architectures --<br/>Application domains --<br/>Summary, bibliographical and historical notes, exercises --<br/>Conclusions: --<br/>Philosophical foundations: --<br/>Weak AI: can machines act intelligently? --<br/>Strong AI: can machines really think? --<br/>Ethics and risks of developing artificial intelligence --<br/>Summary, bibliographical and historical notes, exercises --<br/>AI: the present and future: --<br/>Agent components --<br/>Agent architectures --<br/>Are we going in the right direction? --<br/>What if AI does succeed? --<br/>Mathematical background: --<br/>Complexity analysis and O() notation --<br/>Vectors, matrices, and linear algebra --<br/>Probability distribution --<br/>Notes on languages and algorithms: --<br/>Defining languages with Backus-Naur Form (BNF) --<br/>Describing algorithms with pseudocode --<br/>Online help --<br/>Bibliography --<br/>Index |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 1014 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KCST Library | KCST Library | 2020-01-08 | 006.3 Ru Ar | 1000000700 | 2020-02-11 | 2020-01-08 | Course Textbook |