Logics For Artificial Intelligence
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Logics For Artificial Intelligence
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Author : Raymond Turner
language : en
Publisher: Ellis Horwood
Release Date : 1984
Logics For Artificial Intelligence written by Raymond Turner and has been published by Ellis Horwood this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Artificial intelligence categories.
In Logics for Artificial Intelligence, Raymond Turner leads us on a whirl-wind tour of nonstandard logics and their general applications to Al and computer science.
Logic Based Artificial Intelligence
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Author : Jack Minker
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
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 2012-12-06 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.
Logics For Computer And Data Sciences And Artificial Intelligence
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Author : Lech T. Polkowski
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Logics For Computer And Data Sciences And Artificial Intelligence written by Lech T. Polkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
This volume offers the reader a systematic and throughout account of branches of logic instrumental for computer science, data science and artificial intelligence. Addressed in it are propositional, predicate, modal, epistemic, dynamic, temporal logics as well as applicable in data science many-valued logics and logics of concepts (rough logics). It offers a look into second-order logics and approximate logics of parts. The book concludes with appendices on set theory, algebraic structures, computability, complexity, MV-algebras and transition systems, automata and formal grammars. By this composition of the text, the reader obtains a self-contained exposition that can serve as the textbook on logics and relevant disciplines as well as a reference text.
Logics In Artificial Intelligence
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Author : Tomi Janhunen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-01
Logics In Artificial Intelligence written by Tomi Janhunen 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 2010-09-01 with Computers categories.
This volume contains the papers selected for presentation at the 12th European Conference on Logics in Arti?cial Intelligence, JELIA 2010, which was held in Helsinki, Finland, during September 13–15, 2010. Logics provide a formal basis and key descriptive notation for the study and development of applications and systems in arti?cial intelligence (AI). With the depth and maturity of formalisms, methodologies, and systems today, such l- ics are increasingly important. The European Conference on Logics in Arti?cial Intelligence (or Journ´ ees Europ´ eennes sur la Logique en Intelligence Arti?cielle — JELIA) began back in 1988, as a workshop, in response to the need for a European forum for the discussion of emerging work in this ?eld. Since then, JELIA has been organized biennially, with English as the o?cial language, and with proceedings published in Springer's Lecture Notes in Arti?cial Intelligence series.In2010theconferencewasorganizedfor the?rsttime inScandinavia,f- lowing previous meetings mainly taking place in Central and Southern Europe. The increasing interest in this forum, its international level with growing p- ticipation by researchersworldwide, and the overalltechnical quality has turned JELIA into a major biennial forum for the discussion of logic-based AI.
Logics In Artificial Intelligence
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Author : Jose Julio Alferes
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-24
Logics In Artificial Intelligence written by Jose Julio Alferes 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 2004-09-24 with Computers categories.
This book constitutes the refereed proceedings of the 9th European Conference on Logics in Artificial Intelligence, JELIA 2004, held in Lisbon, Portugal, in September 2004. The 52 revised full papers and 15 revised systems presentation papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from a total of 169 submissions. The papers are organized in topical sections on multi-agent systems; logic programming and nonmonotonic reasoning; reasoning under uncertainty; logic programming; actions and causation; complexity; description logics; belief revision; modal, spatial, and temporal logics; theorem proving; and applications.
Logics In Artificial Intelligence
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Author : Steffen Hölldobler
language : en
Publisher: Springer
Release Date : 2008-09-25
Logics In Artificial Intelligence written by Steffen Hölldobler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-25 with Computers categories.
This book constitutes the refereed proceedings of the 11th European Conference on Logics in Artificial Intelligence, JELIA 2008, held in Dresden, Germany, Liverpool, in September/October 2008. The 32 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 98 submissions. The papers cover a broad range of topics including belief revision, description logics, non-monotonic reasoning, multi-agent systems, probabilistic logic, and temporal logic.
Logics In Artificial Intelligence
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Author : Craig MacNish
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-08-10
Logics In Artificial Intelligence written by Craig MacNish 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 1994-08-10 with Computers categories.
This book constitutes the proceedings of the 1994 European Workshop on Logics in Artificial Intelligence, held at York, UK in September 1994. The 24 papers presented were selected from a total of 79 submissions; in addition there are two abstracts of invited talks and one full paper of the invited presentation by Georg Gottlob. The papers point out that, with the depth and maturity of formalisms and methodologies available in AI today, logics provide a formal basis for the study of the whole field of AI. The volume offers sections on nonmonotonic reasoning, automated reasoning, logic programming, knowledge representation, and belief revision.
Logics In Artificial Intelligence
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Author : Francesco Calimeri
language : en
Publisher: Springer
Release Date : 2019-05-06
Logics In Artificial Intelligence written by Francesco Calimeri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-06 with Computers categories.
This book constitutes the proceedings of the 16th European Conference on Logics in Artificial Intelligence, JELIA 2019, held in Rende, Italy, in May 2019. The 50 full papers and 10 short papers included in this volume were carefully reviewed and selected from 101 submissions. Additionally, the book contains 3 invited papers. The accepted papers span a number of areas within Logics in AI, including: belief revision and argumentation; causal, defeasible and inductive reasoning; conditional, probabilistic and propositional logic; description logics; logic programming; modal and default logic; and temporal logic.
Logics In Artificial Intelligence
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Author : Jose Julio Alferes
language : en
Publisher:
Release Date : 2014-01-15
Logics In Artificial Intelligence written by Jose Julio Alferes 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.
Logics In Artificial Intelligence
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Author : Loizos Michael
language : en
Publisher: Springer
Release Date : 2016-11-02
Logics In Artificial Intelligence written by Loizos Michael and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-02 with Computers categories.
This book constitutes the proceedings of the 15th European Conference on Logics in Artificial Intelligence, JELIA 2016, held in Larnaca, Cyprus, in November 2015. The 32 full papers and 10 short papers included in this volume were carefully reviewed and selected from 88 submissions. The accepted papers span a number of areas within Logics in AI, including: belief revision, answer set programming, argumentation, probabilistic reasoning, handling inconsistencies, temporal logics and planning, description logics, and decidability and complexity results.