Logics For Artificial Intelligence

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Logics in Artificial Intelligence

Wolfgang Faber,Gerhard Friedrich,Martin Gebser,Michael Morak
Logics in Artificial Intelligence Book PDF

Author : Wolfgang Faber,Gerhard Friedrich,Martin Gebser,Michael Morak
Publisher : Springer Nature
Page : 462 pages
File Size : 49,8 Mb
Release : 2021-05-12
Category : Computers
ISBN : 9783030757755

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Logics in Artificial Intelligence by Wolfgang Faber,Gerhard Friedrich,Martin Gebser,Michael Morak Pdf

This book constitutes the proceedings of the 17th European Conference on Logics in Artificial Intelligence, JELIA 2021, held as a virtual event, in May 2021. The 27 full papers and 3 short papers included in this volume were carefully reviewed and selected from 68 submissions. The accepted papers span a number of areas within Logics in AI, including: argumentation; belief revision; reasoning about actions, causality, and change; constraint satisfaction; description logics and ontological reasoning; non-classical logics; and logic programming (answer set programming).

Logic-Based Artificial Intelligence

Jack Minker
Logic Based Artificial Intelligence Book PDF

Author : Jack Minker
Publisher : Springer Science & Business Media
Page : 600 pages
File Size : 42,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461515678

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Logic-Based Artificial Intelligence by Jack Minker Pdf

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

Lech T. Polkowski
Logics for Computer and Data Sciences and Artificial Intelligence Book PDF

Author : Lech T. Polkowski
Publisher : Springer Nature
Page : 372 pages
File Size : 55,5 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030916800

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Logics for Computer and Data Sciences, and Artificial Intelligence by Lech T. Polkowski Pdf

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 for Artificial Intelligence

Raymond Turner
Logics for Artificial Intelligence Book PDF

Author : Raymond Turner
Publisher : Ellis Horwood
Page : 136 pages
File Size : 49,7 Mb
Release : 1984
Category : Computers
ISBN : STANFORD:36105032832862

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Logics for Artificial Intelligence by Raymond Turner Pdf

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.

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming

Dov M. Gabbay,C. J. Hogger,J. A. Robinson
Handbook of Logic in Artificial Intelligence and Logic Programming Volume 5 Logic Programming Book PDF

Author : Dov M. Gabbay,C. J. Hogger,J. A. Robinson
Publisher : Clarendon Press
Page : 818 pages
File Size : 55,7 Mb
Release : 1998-01-08
Category : Computers
ISBN : 9780191546280

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Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming by Dov M. Gabbay,C. J. Hogger,J. A. Robinson Pdf

The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-volume work covering all major areas of the application of logic to artificial intelligence and logic programming. The authors are chosen on an international basis and are leaders in the fields covered. Volume 5 is the last in this well-regarded series. Logic is now widely recognized as one of the foundational disciplines of computing. It has found applications in virtually all aspects of the subject, from software and hardware engineering to programming languages and artificial intelligence. In response to the growing need for an in-depth survey of these applications the Handbook of Logic in Artificial Intelligence and its companion, the Handbook of Logic in Computer Science have been created. The Handbooks are a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. Some mathematical background is assumed, and much of the material will be of interest to logicians and mathematicians. Volume 5 focuses particularly on logic programming. The chapters, which in many cases are of monograph length and scope, emphasize possible unifying themes.

Logic for Computer Science and Artificial Intelligence

Ricardo Caferra
Logic for Computer Science and Artificial Intelligence Book PDF

Author : Ricardo Caferra
Publisher : John Wiley & Sons
Page : 378 pages
File Size : 46,8 Mb
Release : 2013-02-04
Category : Technology & Engineering
ISBN : 9781118604267

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Logic for Computer Science and Artificial Intelligence by Ricardo Caferra Pdf

Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is problematic and logic as a topic benefits from a unified approach. Logic for Computer Science and Artificial Intelligence utilizes this format, surveying the tableaux, resolution, Davis and Putnam methods, logic programming, as well as for example unification and subsumption. For non-classical logics, the translation method is detailed. Logic for Computer Science and Artificial Intelligence is the classroom-tested result of several years of teaching at Grenoble INP (Ensimag). It is conceived to allow self-instruction for a beginner with basic knowledge in Mathematics and Computer Science, but is also highly suitable for use in traditional courses. The reader is guided by clearly motivated concepts, introductions, historical remarks, side notes concerning connections with other disciplines, and numerous exercises, complete with detailed solutions, The title provides the reader with the tools needed to arrive naturally at practical implementations of the concepts and techniques discussed, allowing for the design of algorithms to solve problems.

Philosophical Logic and Artificial Intelligence

Richmond H. Thomason
Philosophical Logic and Artificial Intelligence Book PDF

Author : Richmond H. Thomason
Publisher : Springer Science & Business Media
Page : 222 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Philosophy
ISBN : 9789400924482

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Philosophical Logic and Artificial Intelligence by Richmond H. Thomason Pdf

cians concerned with using logical tools in philosophy have been keenly aware of the limitations that arise from the original con centration of symbolic logic on the idiom of mathematics, and many of them have worked to create extensions of the received logical theories that would make them more generally applicable in philosophy. Carnap's Testability and Meaning, published in 1936 and 1937, was a good early example of this sort of research, motivated by the inadequacy of first-order formalizations of dis 'This sugar cube is soluble in water'. positional sentences like And in fact there is a continuous history of work on this topic, extending from Carnap's paper to Shoham's contribution to the present volume . . Much of the work in philosophical logic, and much of what has appeared in The Journal of Philosophical Logic, was mo tivated by similar considerations: work in modal logic (includ ing tense, deontic, and epistemic logic), intensional logics, non declaratives, presuppositions, and many other topics. In this sort of research, sin.ce the main point is to devise new formalisms, the technical development tends to be rather shallow in comparison with mathematical logic, though it is sel dom absent: theorems need to be proved in order to justify the formalisms, and sometimes these are nontrivial. On the other hand, much effort has to go into motivating a logical innovation.

Logics in Artificial Intelligence

Loizos Michael,Antonis Kakas
Logics in Artificial Intelligence Book PDF

Author : Loizos Michael,Antonis Kakas
Publisher : Springer
Page : 586 pages
File Size : 40,9 Mb
Release : 2016-11-02
Category : Computers
ISBN : 9783319487588

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Logics in Artificial Intelligence by Loizos Michael,Antonis Kakas Pdf

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.

Artificial Intelligence and Computing Logic

Cyrus F. Nourani
Artificial Intelligence and Computing Logic Book PDF

Author : Cyrus F. Nourani
Publisher : CRC Press
Page : 273 pages
File Size : 41,9 Mb
Release : 2021-12-23
Category : Computers
ISBN : 9781000400908

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Artificial Intelligence and Computing Logic by Cyrus F. Nourani Pdf

Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.

Logic for Artificial Intelligence and Information Technology

Dov M. Gabbay
Logic for Artificial Intelligence and Information Technology Book PDF

Author : Dov M. Gabbay
Publisher : Unknown
Page : 584 pages
File Size : 49,8 Mb
Release : 2007
Category : Computers
ISBN : 1904987397

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Logic for Artificial Intelligence and Information Technology by Dov M. Gabbay Pdf

Logic for Artificial Intelligence and Information Technology is based on student notes used to teach logic to second year undergraduates and Artificial Intelligence to graduate students at the University of London since1984, first at Imperial College and later at King's College. Logic has been applied to a wide variety of subjects such as theoretical computer science, software engineering, hardware design, logic programming, computational linguistics and artificial intelligence. In this way it has served to stimulate the research for clear conceptual foundations. Over the past 20 years many extensions of classical logic such as temporal, modal, relevance, fuzzy, probabilistic and non-monotoinic logics have been widely used in computer science and artificial intelligence, therefore requiring new formulations of classical logic, which can be modified to yield the effect of the new applied logics. The text introduces classical logic in a goal directed way which can easily deviate into discussing other applied logics. It defines the many types of logics and differences between them. Dov Gabbay, FRSC, FAvH, FRSA, FBCS, is Augustus De Morgan Professor of Logic at the University of London. He has written over 300 papers in logic and over 20 books. He is Editor-in-Chief of several leading journals and has published over 50 handbooks of logic volumes. He is a world authority on applied logics and is one of the directors and founder of the UK charity the International Federation of Computational Logic

Markov Logic

Pedro Dechter,Daniel Barták
Markov Logic Book PDF

Author : Pedro Dechter,Daniel Barták
Publisher : Springer Nature
Page : 145 pages
File Size : 43,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015496

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Markov Logic by Pedro Dechter,Daniel Barták Pdf

Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface layer requires combining both. Markov logic is a powerful new language that accomplishes this by attaching weights to first-order formulas and treating them as templates for features of Markov random fields. Most statistical models in wide use are special cases of Markov logic, and first-order logic is its infinite-weight limit. Inference algorithms for Markov logic combine ideas from satisfiability, Markov chain Monte Carlo, belief propagation, and resolution. Learning algorithms make use of conditional likelihood, convex optimization, and inductive logic programming. Markov logic has been successfully applied to problems in information extraction and integration, natural language processing, robot mapping, social networks, computational biology, and others, and is the basis of the open-source Alchemy system. Table of Contents: Introduction / Markov Logic / Inference / Learning / Extensions / Applications / Conclusion

Logics in AI

Jan van Eijck
Logics in AI Book PDF

Author : Jan van Eijck
Publisher : Springer Science & Business Media
Page : 580 pages
File Size : 55,8 Mb
Release : 1991-02-26
Category : Computers
ISBN : 3540536868

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Logics in AI by Jan van Eijck Pdf

The European Workshop on Logics in Artificial Intelligence was held at the Centre for Mathematics and Computer Science in Amsterdam, September 10-14, 1990. This volume includes the 29 papers selected and presented at the workshop together with 7 invited papers. The main themes are: - Logic programming and automated theorem proving, - Computational semantics for natural language, - Applications of non-classical logics, - Partial and dynamic logics.

Logics in Artificial Intelligence

Tomi Janhunen,Ilkka Niemelä
Logics in Artificial Intelligence Book PDF

Author : Tomi Janhunen,Ilkka Niemelä
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 47,6 Mb
Release : 2010-09-01
Category : Computers
ISBN : 9783642156748

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Logics in Artificial Intelligence by Tomi Janhunen,Ilkka Niemelä Pdf

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.

Machine Learning, Meta-Reasoning and Logics

Pavel B. Brazdil,Kurt Konolige
Machine Learning Meta Reasoning and Logics Book PDF

Author : Pavel B. Brazdil,Kurt Konolige
Publisher : Springer Science & Business Media
Page : 339 pages
File Size : 49,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461316411

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Machine Learning, Meta-Reasoning and Logics by Pavel B. Brazdil,Kurt Konolige Pdf

This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. All the papers were edited afterwards. The Workshop encompassed several fields of Artificial Intelligence: Machine Learning, Belief Revision, Meta-Reasoning and Logics. The objective of this Workshop was not only to address the common issues in these areas, but also to examine how to elaborate cognitive architectures for systems capable of learning from experience, revising their beliefs and reasoning about what they know. Acknowledgements The editing of this book has been supported by COST-13 Project Machine Learning and Knowledge Acquisition funded by the Commission o/the European Communities which has covered a substantial part of the costs. Other sponsors who have supported this work were Junta Nacional de lnvestiga~ao Cientlfica (JNICT), lnstituto Nacional de lnvestiga~ao Cientlfica (INIC), Funda~ao Calouste Gulbenkian. I wish to express my gratitude to all these institutions. Finally my special thanks to Paula Pereira and AnaN ogueira for their help in preparing this volume. This work included retyping all the texts and preparing the camera-ready copy. Introduction 1 1. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning. As we can see from the papers that appear in this chapter, there are basically two different schools of thought.

Logics in Artificial Intelligence

Craig MacNish,David Pearce,Luis M. Pereira
Logics in Artificial Intelligence Book PDF

Author : Craig MacNish,David Pearce,Luis M. Pereira
Publisher : Springer Science & Business Media
Page : 436 pages
File Size : 47,9 Mb
Release : 1994-08-10
Category : Computers
ISBN : 3540583327

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Logics in Artificial Intelligence by Craig MacNish,David Pearce,Luis M. Pereira Pdf

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.