Logic and Data Bases
Author: Herve Gallaire
Publisher:
Published: 2014-09-01
Total Pages: 468
ISBN-13: 9781468433852
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Logical Foundations of Artificial Intelligence
Author: Michael R. Genesereth
Publisher: Morgan Kaufmann
Published: 2012-07-05
Total Pages: 427
ISBN-13: 0128015543
DOWNLOAD EBOOKIntended both as a text for advanced undergraduates and graduate students, and as a key reference work for AI researchers and developers, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and comprehensive account of the fundamentals of artificial intelligence from the standpoint of logic. The first section of the book introduces the logicist approach to AI--discussing the representation of declarative knowledge and featuring an introduction to the process of conceptualization, the syntax and semantics of predicate calculus, and the basics of other declarative representations such as frames and semantic nets. This section also provides a simple but powerful inference procedure, resolution, and shows how it can be used in a reasoning system. The next several chapters discuss nonmonotonic reasoning, induction, and reasoning under uncertainty, broadening the logical approach to deal with the inadequacies of strict logical deduction. The third section introduces modal operators that facilitate representing and reasoning about knowledge. This section also develops the process of writing predicate calculus sentences to the metalevel--to permit sentences about sentences and about reasoning processes. The final three chapters discuss the representation of knowledge about states and actions, planning, and intelligent system architecture. End-of-chapter bibliographic and historical comments provide background and point to other works of interest and research. Each chapter also contains numerous student exercises (with solutions provided in an appendix) to reinforce concepts and challenge the learner. A bibliography and index complete this comprehensive work.
Foundations of Deductive Databases and Logic Programming
Author: Jack Minker
Publisher: Morgan Kaufmann Publishers
Published: 1988
Total Pages: 760
ISBN-13:
DOWNLOAD EBOOKFoundations of Deductive Databases and Logic Programming focuses on the foundational issues concerning deductive databases and logic programming. The selection first elaborates on negation in logic programming and towards a theory of declarative knowledge. Discussions focus on model theory of stratified programs, fixed point theory of nonmonotonic operators, stratified programs, semantics for negation in terms of special classes of models, relation between closed world assumption and the completed database, negation as a failure, and closed world assumption. The book then takes a look at negation as failure using tight derivations for general logic programs, declarative semantics of logic programs with negation, and declarative semantics of deductive databases and logic programs. The publication tackles converting AND-control to OR-control by program transformation, optimizing dialog, equivalences of logic programs, unification, and logic programming and parallel complexity. Topics include parallelism and structured and unstructured data, parallel algorithms and complexity, solving equations, most general unifiers, systems of equations and inequations, equivalences of logic programs, and optimizing recursive programs. The selection is a valuable source of data for researchers interested in pursuing further studies on the foundations of deductive databases and logic programming.
Logic Programming and Nonmonotonic Reasoning
Author: Chitta Baral
Publisher: Springer Science & Business Media
Published: 2005-08-25
Total Pages: 465
ISBN-13: 3540285385
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 8th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2005, held in Diamante, Italy in September 2005. The 25 revised full papers, 16 revised for the system and application tracks presented together with 3 invited papers were carefully reviewed and selected for presentation. Among the topics addressed are semantics of new and existing languages; relationships between formalisms; complexity and expressive power; LPNMR systems: development of inference algorithms and search heuristics, updates and other operations, uncertainty, and applications in planning, diagnosis, system descriptions, comparisons and evaluations; software engineering, decision making, and other domains; LPNMR languages: extensions by new logical connectives and new inference capabilities, applications in data integration and exchange systems, and methodology of representing knowledge.
Nonmonotonic Logic
Author: V. Wiktor Marek
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 425
ISBN-13: 3662029065
DOWNLOAD EBOOKWhen I first participated in exploring theories of nonmonotonic reasoning in the late 1970s, I had no idea of the wealth of conceptual and mathematical results that would emerge from those halting first steps. This book by Wiktor Marek and Miroslaw Truszczynski is an elegant treatment of a large body of these results. It provides the first comprehensive treatment of two influen tial nonmonotonic logics - autoepistemic and default logic - and describes a number of surprising and deep unifying relationships between them. It also relates them to various modal logics studied in the philosophical logic litera ture, and provides a thorough treatment of their applications as foundations for logic programming semantics and for truth maintenance systems. It is particularly appropriate that Marek and Truszczynski should have authored this book, since so much of the research that went into these results is due to them. Both authors were trained in the Polish school of logic and they bring to their research and writing the logical insights and sophisticated mathematics that one would expect from such a background. I believe that this book is a splendid example of the intellectual maturity of the field of artificial intelligence, and that it will provide a model of scholarship for us all for many years to come. Ray Reiter Department of Computer Science University of Toronto Toronto, Canada M5S 1A4 and The Canadian Institute for Advanced Research Table of Contents 1 1 Introduction .........
Artificial Intelligence
Author: Ian Pratt
Publisher: McMillin Pub Llc
Published: 1994
Total Pages: 280
ISBN-13: 9780333597552
DOWNLOAD EBOOKWhile assuming no prior knowledge of AI or logic, this book provides an introduction to many of the most advanced developments in AI, as well as giving examples of their usage and critically assessing their applicability and effectiveness. Topics covered include planning, logic and inference, non-monotonic logic, reason maintenance, memory organization, probabilistic reasoning, induction and neural networks. The author concentrates on inference as a central theme, so as to present sophisticated material more readily.
Shattered Assumptions
Author: Ronnie Janoff-Bulman
Publisher: Simon and Schuster
Published: 2010-06-15
Total Pages: 278
ISBN-13: 145160372X
DOWNLOAD EBOOKThis book investigates the psychology of victimization. It shows how fundamental assumptions about the world's meaningfulness and benevolence are shattered by traumatic events, and how victims become subject to self-blame in an attempt to accommodate brutality. The book is aimed at all those who for personal or professional reasons seek to understand what psychological trauma is and how to recover from it.
Simply Logical
Author: Peter Flach
Publisher: Wiley
Published: 1994-04-07
Total Pages: 256
ISBN-13: 9780471942153
DOWNLOAD EBOOKAn introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material. A unique advantage to this work is the combination of AI, Prolog and Logic. Each technique is accompanied by a program implementing it. Seeks to simplify the basic concepts of logic programming. Contains exercises and authentic examples to help facilitate the understanding of difficult concepts.
The Logic of Knowledge Bases
Author: Hector J. Levesque
Publisher: MIT Press
Published: 2001-02-15
Total Pages: 316
ISBN-13: 9780262263498
DOWNLOAD EBOOKThis book describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system decides how to act by running formal reasoning procedures over a body of explicitly represented knowledge—a knowledge base. The system is not programmed for specific tasks; rather, it is told what it needs to know and expected to infer the rest. This book is about the logic of such knowledge bases. It describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. Assuming some familiarity with first-order predicate logic, the book offers a new mathematical model of knowledge that is general and expressive yet more workable in practice than previous models. The book presents a style of semantic argument and formal analysis that would be cumbersome or completely impractical with other approaches. It also shows how to treat a knowledge base as an abstract data type, completely specified in an abstract way by the knowledge-level operations defined over it.
Formalizing Common Sense
Author: John McCarthy
Publisher: Intellect L & D E F A E
Published: 1998
Total Pages: 256
ISBN-13: 9781871516494
DOWNLOAD EBOOKExtending over a period of 30 years, this is a collection of papers written by John McCarthy on artificial intelligence. They range from informal surveys written for a general audience to technical discussions of challenging research problems that should be of interest to specialists.
