Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6e

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Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6e


Ideal for an undergraduate course in artificial intelligence, the sixth edition presents the fundamental concepts of the discipline first and then goes into detail with the practical information necessary to implement the algorithms and strategies discussed.

NPR 1,541.00 1541.0 NPR NPR 1,712.00

NPR 1,712.00

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Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6e

Ideal for an undergraduate course in artificial intelligence, the sixth edition presents the fundamental concepts of the discipline first and then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. It includes perception and adaptation using neural networks and genetic algorithms, intelligent agents with ontologies, automated Reasoning, natural language analysis, and stochastic approaches to machine learning.

New Features:
  • probabilistically-based machine learning covers stochastic methods that support machine learning.
  • New! Natural language processing with dynamic programming (the earley parser) and other probabilistic parsing techniques including Viterbi, are added to the chapter.
  • New! Presentation of agent technology and the use of ontologies are added to the chapter. 
Contents:

Part I Artifi cial Intelligence: Its Roots and Scope
1. AI: History and Applications

Part II Artifi cial Intelligence as Representation and Search
2. The Predicate Calculus
3. Structures and Strategies for State Space Search
4. Heuristic Search
5. Stochastic Methods
6. Control and Implementation of State Space Search

Part III Capturing Intelligence: The AI Challenge
7. Knowledge Representation
8. Strong Method Problem Solving
9. Reasoning in Uncertain Situations

Part IV Machine Learning
10. Machine Learning: Symbol-based
11. Machine Learning: Connectionist
12. Machine Learning: Genetic and Emergent
13. Machine Learning: Probabilistic

Part V Advanced Topics for AI Problem Solving
14. Automated Reasoning
15. Understanding Natural Language

Part VI Epilogue
16. Artifi cial Intelligence as Empirical Enquiry
Bibliography
Author Index
Subject Index


Book
Author Luger
Pages 780
Year 2021
ISBN 9789354493782
Publisher Pearson
Language English
Uncategorized
Subject Computer Science / Artificial Intelligence (AI)
Edition 6/e
Weight 300 g
Dimensions 20.3 x 25.4 x 4.7 cm
Binding Paperback