MTU Library Catalogue

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

By: Luger, George F.
Contributor(s): Stubblefield, William A.
Material type: materialTypeLabelBookPublisher: Redwood City, Calif. : Benjamin/Cummings Pub. Co., c1993Edition: 2nd ed.Description: xxiv, 740 p. : ill. ; 24 cm. + hbk.ISBN: 0805347801.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: Languages for AI problem solving -- An introduction to prolog -- LISP -- Part IV: Representations for knowledge-based systems -- Rule-based expert systems -- Knowledge representation -- Natural language -- Automated reasoning -- Machine learning -- Part V: Advanced AI programming techniques -- Advanced representation in prolog -- Advanced LISP programming techniques for artificial intelligence -- Objects, messages and hybrid expert system design -- Part VI: Epilogue -- Artificial intelligence as empirical enquiry.

Enhanced descriptions from Syndetics:

This successful book provides a balanced perspective on the languages, schools, theories, and applications of Artificial Intelligence. Now in its third edition, Artificial Intelligence contains an expanded presentation of case based reasoning, genetic algorithms, neural nets, agents, and stochastic models of natural language understanding. In addition, the book contains a discussion of emergent computation and artificial-life.

Includes bibliographical references (p. 705-722) 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: Languages for AI problem solving -- An introduction to prolog -- LISP -- Part IV: Representations for knowledge-based systems -- Rule-based expert systems -- Knowledge representation -- Natural language -- Automated reasoning -- Machine learning -- Part V: Advanced AI programming techniques -- Advanced representation in prolog -- Advanced LISP programming techniques for artificial intelligence -- Objects, messages and hybrid expert system design -- Part VI: Epilogue -- Artificial intelligence as empirical enquiry.