MTU Cork Library Catalogue

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Artificial intelligence : structures and strategies for complex problem solving / George F. Luger and William A. Stubblefield.

By: Luger, George F.
Contributor(s): Stubblefield, William A.
Material type: materialTypeLabelBookPublisher: Harlow : Addison Wesley Longman, 1998 (1999)Edition: 3rd ed.Description: xxix, 824 p. : ill. ; 24 cm. + hbk.ISBN: 0805311963.Subject(s): Artificial intelligence | Knowledge representation (Information theory) | Problem solving | Prolog (Computer program language) | LISP (Computer program language)DDC classification: 006.3
Contents:
Part I: Artificial intelligence: its roots and scope -- AI: history and applications -- Part II: Artificial intelligence as representation and search -- The predicate calculus -- Structures and strategies for state space search -- Heuristic search -- Control and implementation of state space search -- Part III: Representations for knowledge-based problem solving -- Knowledge-intensive problem solving -- Reasoning with uncertain or incomplete information -- Knowledge representation -- Part IV: Languages and programming techniques for artificial intelligence -- An introduction to prolog -- An introduction to LISP -- Part V: Advanced topics for AI problem solving -- Understanding natural language -- Automated reasoning -- Machine learning: symbol-based -- Machine learning: connectionist -- Machine learning: social and emergent -- Part VI: Epilogue -- Artificial intelligence as empirical enquiry.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Store Item 006.3 (Browse shelf(Opens below)) 1 Available 00158326
General Lending MTU Bishopstown Library Lending 006.3 (Browse shelf(Opens below)) 1 Available 00086046
General Lending MTU Bishopstown Library Lending 006.3 (Browse shelf(Opens below)) 1 Available 00086047
Total holds: 0

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

Bibliography: (pages 781-802) and indexes.

Part I: Artificial intelligence: its roots and scope -- AI: history and applications -- Part II: Artificial intelligence as representation and search -- The predicate calculus -- Structures and strategies for state space search -- Heuristic search -- Control and implementation of state space search -- Part III: Representations for knowledge-based problem solving -- Knowledge-intensive problem solving -- Reasoning with uncertain or incomplete information -- Knowledge representation -- Part IV: Languages and programming techniques for artificial intelligence -- An introduction to prolog -- An introduction to LISP -- Part V: Advanced topics for AI problem solving -- Understanding natural language -- Automated reasoning -- Machine learning: symbol-based -- Machine learning: connectionist -- Machine learning: social and emergent -- Part VI: Epilogue -- Artificial intelligence as empirical enquiry.

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

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