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Resolution Proof Systems: An Algebraic Theory (Automated Reasoning Series, 4)
Rating: 5 / 5
Categories: Books > Computers & Technology > Computer Science > AI & Machine Learning > Intelligence & Semantics
ASIN: 0792340175
Categories: Books > Computers & Technology > Computer Science > AI & Machine Learning > Intelligence & Semantics
ASIN: 0792340175
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Resolution Proof Systems: An Algebraic Theory presents a new algebraic framework for the design and analysis of resolution- based automated reasoning systems for a range of non-classical logics. It develops an algebraic theory of resolution proof systems focusing on the problems of proof theory, representation and efficiency of the deductive process.
A new class of logical calculi, the class of resolution logics, emerges as a second theme of the book. The logical and computational aspects of the relationship between resolution logics and resolution proof systems is explored in the context of monotonic as well as nonmonotonic reasoning.
This book is aimed primarily at researchers and graduate students in artificial intelligence, symbolic and computational logic. The material is suitable as a reference book for researchers and as a text book for graduate courses on the theoretical aspects of automated reasoning and computational logic.
Publisher : Springer
Publication date : April 30, 1996
Edition : 1996th
Language : English
Print length : 224 pages
ISBN-10 : 0792340175
ISBN-13 : 978-0792340171
Item Weight : 1.1 pounds
Dimensions : 6.14 x 0.56 x 9.21 inches
Best Sellers Rank: #8,845,924 in Books (See Top 100 in Books) #3,437 in Mathematical Logic #4,632 in Data Processing #5,312 in Algebra & Trigonometry
Customer Reviews: 5.0 5.0 out of 5 stars (1) var dpAcrHasRegisteredArcLinkClickAction; P.when('A', 'ready').execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( 'acrLink-click-metrics', 'click', { "allowLinkDefault": true }, function (event) { if (window.ue) { ue.count("acrLinkClickCount", (ue.count("acrLinkClickCount") || 0) + 1); } } ); } }); P.when('A', 'cf').execute(function(A) { A.declarative('acrStarsLink-click-metrics', 'click', { "allowLinkDefault" : true }, function(event){ if(window.ue) { ue.count("acrStarsLinkWithPopoverClickCount", (ue.count("acrStarsLinkWithPopoverClickCount") || 0) + 1); } }); });
A new class of logical calculi, the class of resolution logics, emerges as a second theme of the book. The logical and computational aspects of the relationship between resolution logics and resolution proof systems is explored in the context of monotonic as well as nonmonotonic reasoning.
This book is aimed primarily at researchers and graduate students in artificial intelligence, symbolic and computational logic. The material is suitable as a reference book for researchers and as a text book for graduate courses on the theoretical aspects of automated reasoning and computational logic.
Publisher : Springer
Publication date : April 30, 1996
Edition : 1996th
Language : English
Print length : 224 pages
ISBN-10 : 0792340175
ISBN-13 : 978-0792340171
Item Weight : 1.1 pounds
Dimensions : 6.14 x 0.56 x 9.21 inches
Best Sellers Rank: #8,845,924 in Books (See Top 100 in Books) #3,437 in Mathematical Logic #4,632 in Data Processing #5,312 in Algebra & Trigonometry
Customer Reviews: 5.0 5.0 out of 5 stars (1) var dpAcrHasRegisteredArcLinkClickAction; P.when('A', 'ready').execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( 'acrLink-click-metrics', 'click', { "allowLinkDefault": true }, function (event) { if (window.ue) { ue.count("acrLinkClickCount", (ue.count("acrLinkClickCount") || 0) + 1); } } ); } }); P.when('A', 'cf').execute(function(A) { A.declarative('acrStarsLink-click-metrics', 'click', { "allowLinkDefault" : true }, function(event){ if(window.ue) { ue.count("acrStarsLinkWithPopoverClickCount", (ue.count("acrStarsLinkWithPopoverClickCount") || 0) + 1); } }); });
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