Knowledge-Based Systems

Rajendra Akerkar, Priti Sajja

ISBN 10: 0763776475 / ISBN 13: 9780763776473

Editore: Jones and Bartlett Publishers, Inc, US, 2009

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A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 2 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.

Codice articolo LU-9780763776473

Dati bibliografici

• Titolo: Knowledge-Based Systems
• Editore: Jones and Bartlett Publishers, Inc, US
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 0763776475
• ISBN 13: 9780763776473
• Rilegatura: Paperback
• Edizione: 1st.
• Condizione: New
• Dimensioni: 18,54 L x 2,03 A x 22,86 P centimetri 18,54 centimetri di larghezza per 2,03 centimetri di altezza per 22,86 centimetri di profondità
• Peso: 595 grammi

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Riassunto

A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.