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Kategorie szczegółowe BISAC

Logical Foundations for Rule-Based Systems

ISBN-13: 9783642067099 / Angielski / Miękka / 2010 / 309 str.

Antoni Ligeza
Logical Foundations for Rule-Based Systems Antoni Ligeza 9783642067099 Springer-Verlag Berlin and Heidelberg GmbH &  - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Logical Foundations for Rule-Based Systems

ISBN-13: 9783642067099 / Angielski / Miękka / 2010 / 309 str.

Antoni Ligeza
cena 602,40
(netto: 573,71 VAT:  5%)

Najniższa cena z 30 dni: 578,30
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!

The book presents logical foundations for rule-based systems. An attempt has been made to provide an in-depth discussion of logical and other aspects of such systems, including languages for knowledge representation, inference mechanisms, inference control, design and verification. The ultimate goal was to provide a deeper theoretical insight into the nature of rule-based systems and put together the most complete presentation including details so frequently skipped in typical textbooks. The book may be useful to potentially wide audience, but it is aimed at providing specific knowledge for graduate, post-graduate and Ph.D. students, as well as knowledge engineers and research workers involved in the domain of AI. It also constitutes a summary of the Author s research and experience gathered through several years of his research work.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Engineering (General)
Computers > Artificial Intelligence - General
Wydawca:
Springer-Verlag Berlin and Heidelberg GmbH &
Seria wydawnicza:
Studies in Computational Intelligence
Język:
Angielski
ISBN-13:
9783642067099
Rok wydania:
2010
Dostępne języki:
Angielski
Numer serii:
000318395
Ilość stron:
309
Waga:
0.51 kg
Wymiary:
23.523.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01

From the reviews of the second edition:

"Rule-Based Systems (RBSs) constitute a powerful tool for specification of knowledge in design and implementation of knowledge-based systems ... . The aim of this book is to present RBSs from the logical perspective ... . The special feature of this book on RBSs is that ... the present RBS monograph follows a unitary line of formalism ... . The book is addressed to researchers, students and engineers interested in RBS technology ... a source of inspiration for knowledge engineering theory and practice." (Neculai Cureanu, Zentralblatt MATH, Vol. 1095 (21), 2006)

Logical Foundations of Rule-Based Systems.- Propositional Logic.- Predicate Calculus.- Attribute Logic.- Resolution.- Dual Resolution.- Principles of Rule-Based Systems.- Basic Structure of Rule-Based Systems.- Rule-Based Systems in Propositional Logic.- Rule-Based Systems in Attributive Logic.- Rule-Based Systems in First-Order Logic.- Inference Control in Rule-Based Systems.- Logic Programming and Prolog.- Verification of Rule-Based Systems.- Principles of Verification of Rule-Based Systems.- Analysis of Redundancy.- Analysis of Indeterminism and Inconsistency.- Reduction of Rule-Based Systems.- Analysis of Completeness.- Design of Rule-Based Systems.- An Introduction to Design of Rule-Based Systems.- Logical Foundations: the ?-Trees Based Approach.- Design of Tabular Rule-Based Systems with XTT.- Design Example: Thermostat.- Concluding Remarks.

The book presents logical foundations for rule-based systems, as seen by the Author. An attempt has been made to provide an in-depth discussion of logical and other aspects of such systems, including languages for knowledge representation, inference mechanisms, inference control, design and verification. The ultimate goal was to provide a deeper theoretical insight into the nature of rule-based systems and put together the most complete presentation including details so frequently skipped in typical textbooks. The main parts present material on: • logical foundations of rule-based systems (Part I); • principles of rule-based systems structures, knowledge representation languages, inference and inference control (Part II); • verification of formal properties of rule-based systems (Part III); • design methodology for efficient development of such systems (Part IV).

The book may be useful to potentially wide audience, but it is aimed at providing specific knowledge for graduate, post-graduate and Ph.D. students, as well as knowledge engineers and research workers involved in the domain of AI. It also constitutes a summary of the Author’s research and experience gathered through several years of his research work.



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