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Instantiation Theory - On the Foundations of Automated Deduction

English · Paperback / Softback

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Instantiation Theory presents a new, general unification algorithm that is of immediate use in building theorem provers and logic programming systems. Instantiation theory is the study of instantiation in an abstract context that is applicable to most commonly studied logical formalisms. The volume begins with a survey of general approaches to the study of instantiation, as found in tree systems, order-sorted algebras, algebraic theories, composita, and instantiation systems. A classification of instantiation systems is given, based on properties of substitutions, degree of type strictness, and well-foundedness of terms. Equational theories and the use of typed variables are studied in terms of quotient homomorphisms and embeddings, respectively. Every instantiation system is a quotient system of a subsystem of first-order term instantiation. The general unification algorithm is developed as an application of the basic theory. Its soundness is rigorously proved, and its completeness and efficiency are verfied for certain classes of instantiation systems. Appropriate applications of the algorithm include unification of first-order terms, order-sorted terms, and first-order formulas modulo alpha-conversion, as well as equational unification using simple congruences.

List of contents

Background.- General approaches to instantiation.- Classification properties.- Homomorphisms.- Construct bases.- Unification - an algorithm and its soundness.- Term-implementation and completeness.- Implementation and computational complexity.- Related issues not addressed.

Product details

Authors James G Williams, James G. Williams
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 24.01.2003
 
EAN 9783540543336
ISBN 978-3-540-54333-6
No. of pages 136
Weight 250 g
Illustrations VIII, 136 p.
Series Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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