Reasoning Web Declarative Artificial Intelligence

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Reasoning Web. Declarative Artificial Intelligence

Author : Marco Manna
Publisher : Springer Nature
ISBN 13 : 303060067X
Total Pages : 255 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Reasoning Web. Declarative Artificial Intelligence by : Marco Manna

Download or read book Reasoning Web. Declarative Artificial Intelligence written by Marco Manna and published by Springer Nature. This book was released on 2020-10-17 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains 8 lecture notes of the 16th Reasoning Web Summer School (RW 2020), held in Oslo, Norway, in June 2020. The Reasoning Web series of annual summer schools has become the prime educational event in the field of reasoning techniques on the Web, attracting both young and established researchers. The broad theme of this year's summer school was “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures have been presented during the school: Introduction to Probabilistic Ontologies, On the Complexity of Learning Description Logic Ontologies, Explanation via Machine Arguing, Stream Reasoning: From Theory to Practice, First-Order Rewritability of Temporal Ontology-Mediated Queries, An Introduction to Answer Set Programming and Some of Its Extensions, Declarative Data Analysis using Limit Datalog Programs, and Knowledge Graphs: Research Directions.

Reasoning Web. Declarative Artificial Intelligence

Author : Mantas Šimkus
Publisher : Springer Nature
ISBN 13 : 3030954811
Total Pages : 194 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Reasoning Web. Declarative Artificial Intelligence by : Mantas Šimkus

Download or read book Reasoning Web. Declarative Artificial Intelligence written by Mantas Šimkus and published by Springer Nature. This book was released on 2022-01-31 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was again “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.

Reasoning Web. Causality, Explanations and Declarative Knowledge

Author : Leopoldo Bertossi
Publisher : Springer Nature
ISBN 13 : 303131414X
Total Pages : 219 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Reasoning Web. Causality, Explanations and Declarative Knowledge by : Leopoldo Bertossi

Download or read book Reasoning Web. Causality, Explanations and Declarative Knowledge written by Leopoldo Bertossi and published by Springer Nature. This book was released on 2023-04-27 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Reasoning in Probabilistic Models and Machine Learning” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.

Knowledge Representation, Reasoning and Declarative Problem Solving

Author : Chitta Baral
Publisher : Cambridge University Press
ISBN 13 : 1139436449
Total Pages : 546 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Knowledge Representation, Reasoning and Declarative Problem Solving by : Chitta Baral

Download or read book Knowledge Representation, Reasoning and Declarative Problem Solving written by Chitta Baral and published by Cambridge University Press. This book was released on 2003-01-09 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Constraint-based Reasoning

Author : Eugene C. Freuder
Publisher : MIT Press
ISBN 13 : 9780262560757
Total Pages : 420 pages
Book Rating : 4.5/5 (67 download)

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Book Synopsis Constraint-based Reasoning by : Eugene C. Freuder

Download or read book Constraint-based Reasoning written by Eugene C. Freuder and published by MIT Press. This book was released on 1994 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels: theory, algorithms, languages, applications, and hardware. Constraint-based reasoning has connections to a wide variety of fields, including formal logic, graph theory, relational databases, combinatorial algorithms, operations research, neural networks, truth maintenance, and logic programming. The ideal of describing a problem domain in natural, declarative terms and then letting general deductive mechanisms synthesize individual solutions has to some extent been realized, and even embodied, in programming languages. Contents Introduction, E. C. Freuder, A. K. Mackworth * The Logic of Constraint Satisfaction, A. K. Mackworth * Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace * Constraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach, E. Hyvonen * Constraint Satisfaction Using Constraint Logic Programming, P. Van Hentenryck, H. Simonis, M. Dincbas * Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems, S. Minton, M. D. Johnston, A. B. Philips, and P. Laird * Arc Consistency: Parallelism and Domain Dependence, P. R. Cooper, M. J. Swain * Structure Identification in Relational Data, R. Dechter, J. Pearl * Learning to Improve Constraint-Based Scheduling, M. Zweben, E. Davis, B. Daun, E. Drascher, M. Deale, M. Eskey * Reasoning about Qualitative Temporal Information, P. van Beek * A Geometric Constraint Engine, G. A. Kramer * A Theory of Conflict Resolution in Planning, Q. Yang A Bradford Book.

Logical Foundations of Artificial Intelligence

Author : Michael R. Genesereth
Publisher : Morgan Kaufmann
ISBN 13 : 0128015543
Total Pages : 427 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Logical Foundations of Artificial Intelligence by : Michael R. Genesereth

Download or read book Logical Foundations of Artificial Intelligence written by Michael R. Genesereth and published by Morgan Kaufmann. This book was released on 2012-07-05 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended 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.

Probabilistic Reasoning in Intelligent Systems

Author : Judea Pearl
Publisher : Elsevier
ISBN 13 : 0080514898
Total Pages : 573 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Probabilistic Reasoning in Intelligent Systems by : Judea Pearl

Download or read book Probabilistic Reasoning in Intelligent Systems written by Judea Pearl and published by Elsevier. This book was released on 2014-06-28 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Artificial Intelligence

Author : David L. Poole
Publisher : Cambridge University Press
ISBN 13 : 110719539X
Total Pages : 821 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Artificial Intelligence by : David L. Poole

Download or read book Artificial Intelligence written by David L. Poole and published by Cambridge University Press. This book was released on 2017-09-25 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Artificial Intelligence Logic and Applications

Author : Songmao Zhang
Publisher : Springer Nature
ISBN 13 : 9819978696
Total Pages : 459 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Artificial Intelligence Logic and Applications by : Songmao Zhang

Download or read book Artificial Intelligence Logic and Applications written by Songmao Zhang and published by Springer Nature. This book was released on 2023-12-16 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third International Conference, AILA 2023, held in Changchun, China, during August 5–6, 2023. The 26 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions. This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications.

Reasoning Web. Semantic Technologies for Information Systems

Author : Sergio Tessaris
Publisher : Springer Science & Business Media
ISBN 13 : 3642037534
Total Pages : 364 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Reasoning Web. Semantic Technologies for Information Systems by : Sergio Tessaris

Download or read book Reasoning Web. Semantic Technologies for Information Systems written by Sergio Tessaris and published by Springer Science & Business Media. This book was released on 2009-08-17 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a collection of revised tutorial papers based on lectures given by researchers at the 5th International Summer School on the Reasoning Web. It introduces semantic web methods and research issues with a particular emphasis on reasoning.

Rules and Reasoning

Author : Sotiris Moschoyiannis
Publisher : Springer Nature
ISBN 13 : 3030911675
Total Pages : 298 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Rules and Reasoning by : Sotiris Moschoyiannis

Download or read book Rules and Reasoning written by Sotiris Moschoyiannis and published by Springer Nature. This book was released on 2021-12-02 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2021, held in Leuven, Belgium, during September, 2021. This is the 5th conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 17 full research papers presented together with 2 short technical communications papers and 2 abstracts of invited papers were carefully reviewed and selected from 39 submissions.

Rules and Reasoning

Author : Anna Fensel
Publisher : Springer Nature
ISBN 13 : 3031450728
Total Pages : 269 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Rules and Reasoning by : Anna Fensel

Download or read book Rules and Reasoning written by Anna Fensel and published by Springer Nature. This book was released on 2023-11-15 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, held in Oslo, Norway, during September 18–20, 2023. The 13 full papers and 3 short papers included in these proceedings were carefully reviewed and selected from 46 submissions. They focus on all aspects of theoretical advances; novel technologies; innovative applications; knowledge representation; reasoning with rules; and research, development, applications of rule-based systems.

Rules and Reasoning

Author : Sabrina Kirrane
Publisher : Springer Nature
ISBN 13 : 3031724070
Total Pages : 268 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Rules and Reasoning by : Sabrina Kirrane

Download or read book Rules and Reasoning written by Sabrina Kirrane and published by Springer Nature. This book was released on with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Rules and Reasoning

Author : Víctor Gutiérrez-Basulto
Publisher : Springer Nature
ISBN 13 : 3030579778
Total Pages : 187 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Rules and Reasoning by : Víctor Gutiérrez-Basulto

Download or read book Rules and Reasoning written by Víctor Gutiérrez-Basulto and published by Springer Nature. This book was released on 2020-08-18 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2020, held in Oslo, Norway, during June-July 2020*. This is the 4th conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 7 full research papers presented together with 6 short technical communications papers were carefully reviewed and selected from 30 submissions. *The conference was held virtually due to the COVID-19 pandemic.

The Semantic Web

Author : Catia Pesquita
Publisher : Springer Nature
ISBN 13 : 3031334558
Total Pages : 742 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis The Semantic Web by : Catia Pesquita

Download or read book The Semantic Web written by Catia Pesquita and published by Springer Nature. This book was released on 2023-05-21 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th International Conference on The Semantic Web, ESWC 2023, held in Hersonissos, Crete, Greece, during May 28–June 1, 2023. The 41 full papers included in this book were carefully reviewed and selected from 167 submissions. They are organized in topical sections as follows: research, resource and in-use.

HHAI 2023: Augmenting Human Intellect

Author : P. Lukowicz
Publisher : IOS Press
ISBN 13 : 1643683950
Total Pages : 556 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis HHAI 2023: Augmenting Human Intellect by : P. Lukowicz

Download or read book HHAI 2023: Augmenting Human Intellect written by P. Lukowicz and published by IOS Press. This book was released on 2023-07-07 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather than replace them, and a novel field of study, with new approaches and solutions to the development of AI, has arisen to focus on this aspect of the technology. This book presents the proceedings of HHAI2023, the 2nd International Conference on Hybrid Human-Artificial Intelligence, held from 26-30 June 2023, in Munich, Germany. The HHAI international conference series is focused on the study of artificially intelligent systems that cooperate synergistically, proactively, responsibly and purposefully with humans, amplifying rather than replacing human intelligence, and invites contributions from various fields, including AI, human-computer interaction, the cognitive and social sciences, computer science, philosophy, among others. A total of 78 submissions were received for the main conference track, and most papers were reviewed by at least three reviewers. The overall final acceptance rate was 43%, with 14 contributions accepted as full papers, 14 as working papers, and 6 as extended abstracts. The papers presented here cover topics including interactive hybrid agents; hybrid intelligence for decision support; hybrid intelligence for health; and values such as fairness and trust in hybrid intelligence. We further accepted 17 posters and 4 demos as well as 8 students to the first HHAI doctoral consortium this year. The authors of 4 working papers and 2 doctoral consortium submissions opted for not publishing their submissions to allow a later full submission, resulting in a total of 57 papers included in this proceedings Addressing all aspects of AI systems that assist humans and emphasizing the need for adaptive, collaborative, responsible, interactive, and human-centered artificial intelligence systems which can leverage human strengths and compensate for human weaknesses while considering social, ethical, and legal considerations, the book will be of interest to all those working in the field.

Reasoning Web

Author : Cristina Baroglio
Publisher : Springer Science & Business Media
ISBN 13 : 3540856560
Total Pages : 276 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Reasoning Web by : Cristina Baroglio

Download or read book Reasoning Web written by Cristina Baroglio and published by Springer Science & Business Media. This book was released on 2008-08-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a collection of thoroughly revised tutorial papers based on lectures given by leading researchers at the 4th International Summer School on the Reasoning Web, held in Venice, Italy, in September 2008. The objective of the book is to provide a coherent introduction to semantic web methods and research issues with a particular focus on reasoning. The seven tutorial papers presented provide competent coverage of methods and major application areas such as social networks, semantic multimedia indexing and retrieval, bioinformatics, and semantic web services. They highlight which techniques are already being successfully applied for purposes such as improving the performance of information retrieval algorithms, enabling the interoperation of heterogeneous agents, modelling users profiles and social relations, and standardizing and improving the accuracy of very large and dynamic scientific databases.