Logic Programming And Knowledge Representation

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Logic Programming And Knowledge Representation

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Author : Luis Moniz Pereira
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-08-26

Logic Programming And Knowledge Representation written by Luis Moniz Pereira and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-08-26 with Computers categories.

This book presents the thoroughly refereed post-workshop proceedings of the Third International Workshop on Logic Programming and Knowledge Representation, LPKR'97, held in Port Jefferson, NY, USA, in October 1997. The eight revised full papers presented have undergone a two-round reviewing process; also included is a comprehensive introduction surveying the state of the art in the area. The volume is divided into topical sections on disjunctive semantics, abduction, priorities, and updates.

Knowledge Representation Reasoning And The Design Of Intelligent Agents

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Author : Michael Gelfond
language : en
Publisher: Cambridge University Press
Release Date : 2014-03-10

Knowledge Representation Reasoning And The Design Of Intelligent Agents written by Michael Gelfond and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-10 with Computers categories.

This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.

Logic Programming And Knowledge Representation

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Author : Luis Moniz Pereira
language : en
Publisher:
Release Date : 2014-01-15

Logic Programming And Knowledge Representation written by Luis Moniz Pereira and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.

Knowledge Representation Reasoning And Declarative Problem Solving

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Author : Chitta Baral
language : en
Publisher: Cambridge University Press
Release Date : 2003-01-09

Knowledge Representation Reasoning And Declarative Problem Solving written by Chitta Baral and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-09 with Computers categories.

Baral shows how to write programs that behave intelligently, by giving them the ability to express knowledge and to reason. This book will appeal to practising and would-be knowledge engineers wishing to learn more about the subject in courses or through self-teaching.

Logic Programming Knowledge Representation And Nonmonotonic Reasoning

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Author : Marcello Balduccini
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-13

Logic Programming Knowledge Representation And Nonmonotonic Reasoning written by Marcello Balduccini and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-13 with Computers categories.

This Festschrift volume, published in honor of Michael Gelfond on the occasion of his 65th birthday, contains a collection of papers written by his closest friends and colleagues. Several of these papers were presented during the Symposium on Constructive Mathematics in Computer Science, held in Lexington, KY, USA on October 25-26, 2010. The 27 scientific papers included in the book focus on answer set programming. The papers are organized in sections named “Foundations: ASP and Theories of LP, KR, and NMR”, “ASP and Dynamic Domains”, and “ASP – Applications and Tools”.

Foundations Of Probabilistic Logic Programming

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Author : Fabrizio Riguzzi
language : en
Publisher: River Publishers
Release Date : 2018-09-01

Foundations Of Probabilistic Logic Programming written by Fabrizio Riguzzi and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Computers categories.

Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming. Logic enables the representation of complex relations among entities while probability theory is useful for model uncertainty over attributes and relations. Combining the two is a very active field of study. Probabilistic Programming extends programming languages with probabilistic primitives that can be used to write complex probabilistic models. Algorithms for the inference and learning tasks are then provided automatically by the system. Probabilistic Logic programming is at the same time a logic language, with its knowledge representation capabilities, and a Turing complete language, with its computation capabilities, thus providing the best of both worlds. Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. Foundations of Probabilistic Logic Programming aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online.

Mathematical Aspects Of Logic Programming Semantics

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Author : Pascal Hitzler
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Mathematical Aspects Of Logic Programming Semantics written by Pascal Hitzler and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.

Covering the authors' own state-of-the-art research results, this book presents a rigorous, modern account of the mathematical methods and tools required for the semantic analysis of logic programs. It significantly extends the tools and methods from traditional order theory to include nonconventional methods from mathematical analysis that depend on topology, domain theory, generalized distance functions, and associated fixed-point theory. The authors closely examine the interrelationships between various semantics as well as the integration of logic programming and connectionist systems/neural networks.

Knowledge Representation And Logic Programming

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Author :
language : en
Publisher:
Release Date : 2002

Knowledge Representation And Logic Programming written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Knowledge representation (Information theory) categories.

Knowledge Representation And Reasoning

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Author : Ronald Brachman
language : en
Publisher: Morgan Kaufmann
Release Date : 2004-05-19

Knowledge Representation And Reasoning written by Ronald Brachman and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-19 with Computers categories.

Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.

Logic Based Artificial Intelligence

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Author : Jack Minker
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-12-31

Logic Based Artificial Intelligence written by Jack Minker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-31 with Computers categories.

The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.