Artificial intelligence Third edition
Material type:
TextPublication details: USA Benjamin Cummings 1997Edition: 3rd edDescription: 868p., 248 x 197mm, Illustrations, hardbackISBN: - 0805311963
- 006.3 LUG
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| Standard Loan | Thurles Library Main Collection | 006.3 LUG (Browse shelf(Opens below)) | 1 | Available | R02058NKRCT |
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| 006.786 GEO How to cheat in Adobe Flash CS5 : the art of design and animation / | 006.786 GEO How to cheat in Adobe Flash CS6 : the art of design and animation / | 006.786 WAR Dreamweaver CS5 for dummies / | 006.3 LUG Artificial intelligence | 006.37 HAR Computer and robot vision | 006.37 HAR Computer and robot vision | 006.6 Illustrator 9 bible |
Enhanced descriptions from Syndetics:
Combines the theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object and agent-based architectures, along with example programs written in LISP and PROLOG.
The practical applications of AI have been kept within the context of its broader goal: understanding the patterns of intelligence as it operates in this world of uncertainty, complexity and change.
The introductory and concluding chapters take a new look at the potentials and challenges facing artificial intelligence and cognitive science.An extended treatment of knowledge-based problem-solving is given including model-based and case-based reasoning.
Includes new material on:Fundamentals of search, inference and knowledge representatioAI algorithms and data structures in LISP and PROLOProduction systems, blackboards, and meta-interpreters including planers, rule-based reasoners, and inheritance systemsMachine-learning including ID3 with bagging and boosting, explanation based learning, PAC learning, and other forms of inductioNeural networks, including perceptrons, back propogation, Kohonen networks, Hopfield networks, Grossberg learning, and counterpropagationEmergent and social methods of learning and adaptation, including genetic algorithms, genetic programming and artificial lifeObject and agent-based problem solving and other forms of advanced knowledge representation
Structures and strategies
Table of contents provided by Syndetics
- Part I Artificial Intelligence: Its Roots and Scope
- 1 AI: History and Applications
- Part II Artificial Intelligence as Representation and Search
- 2 The Predicate Calculus
- 3 Structures and Strategies for State Space Search
- 4 Heuristic Search
- 5 Control and Implementation of State Space Search
- Part III Representations for Knowledge-Based Problem Solving
- 6 Knowledge-Intensive Problem Solving
- 7 Reasoning with Uncertain or Incomplete Information
- 8 Knowledge Representation
- Part IV Languages and Programming Techniques for Artificial Intelligence
- 9 An Introduction to Prolog
- 10 An Introduction to LISP
- Part V Advanced Topics for AI Problem Solving
- 11 Understanding Natural Language
- 12 Automated Reasoning
- 13 Machine Learning: Symbol-Based
- 14 Machine Learning: Connectionist
- 15 Machine Learning: Social and Emergent
- Part VI Epilogue
- 16 Artificial Intelligence as Empirical Enquiry