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Tractable Reasoning In Incomplete First Order Knowledge Bases


Tractable Reasoning In Incomplete First Order Knowledge Bases
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Tractable Reasoning In Incomplete First Order Knowledge Bases


Tractable Reasoning In Incomplete First Order Knowledge Bases
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Author : Yongmei Liu
language : en
Publisher:
Release Date : 2006

Tractable Reasoning In Incomplete First Order Knowledge Bases written by Yongmei Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.


In order to specify a limited reasoning service for proper+ KBs, we propose a new logic of limited belief called the subjective logic SL . SL supports unit resolution, but only does case analysis in a limited way. We give a sound and complete axiomatization for propositional SL . Reasoning based on SL is classically sound and is also classically complete in some simple cases. We show that SL -based reasoning with proper+ KBs is decidable in general, and tractable when both the KB and the query use a bounded number of variables. This thesis proposes a general methodology to establish tractable (by "tractable" we mean "solvable in polynomial time") limited reasoning services for incomplete first-order knowledge bases (KBs). It consists of defining a logic that is weaker than classical logic and has two properties: first, the entailment problem can be reduced to the model checking problem for a characteristic model; and second, the model checking problem is tractable for formulas with a bounded number of variables. We show this methodology in action for two forms of incomplete first-order KBs proposed by Levesque and Lakemeyer. One is called proper KBs, and is used for open-world reasoning. The other is called proper+ KBs, and is used for reasoning with disjunctive information. Levesque has proposed a reasoning scheme called V for proper KBs that is classically sound and is also classically complete when the query is in a certain normal form called NF . We prove that V is tractable for queries with a bounded number of variables. We also settle the open problems concerning the expressiveness and succinctness of NF . Then we extend V to reasoning in dynamic systems, and propose a tractable, sound, and sometimes complete solution to the projection problem, that is, determining whether a formula holds after a sequence of actions is performed.



Scalable Uncertainty Management


Scalable Uncertainty Management
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Author : Jesse Davis
language : en
Publisher: Springer Nature
Release Date : 2020-09-16

Scalable Uncertainty Management written by Jesse Davis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-16 with Computers categories.


This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions. Besides that, the book also contains 2 abstracts of invited talks, 2 tutorial papers, and 2 PhD track papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. Due to the Corona pandemic SUM 2020 was held as an virtual event.



The Semantic Web Iswc 2015


The Semantic Web Iswc 2015
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Author : Marcelo Arenas
language : en
Publisher: Springer
Release Date : 2015-10-13

The Semantic Web Iswc 2015 written by Marcelo Arenas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-13 with Computers categories.


The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015, held in Bethlehem, PA, USA, in October 2015. The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge scientific results and technological innovations are presented, where problems and solutions are discussed, and where the future of this vision is being developed. It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences. The papers cover topics such as querying with SPARQL; querying linked data; linked data; ontology-based data access; ontology alignment; reasoning; instance matching, entity resolution and topic generation; RDF data dynamics; ontology extraction and generation; knowledge graphs and scientific data publication; ontology instance alignment; knowledge graphs; data processing, IoT, sensors; archiving and publishing scientific data; I oT and sensors; experiments; evaluation; and empirical studies. Part 1 (LNCS 9366) contains a total of 38 papers which were presented in the research track. They were carefully reviewed and selected from 172 submissions. Part 2 (LNCS 9367) contains 14 papers from the in-use and software track, 8 papers from the datasets and ontologies track, and 7 papers from the empirical studies and experiments track, selected, respectively, from 33, 35, and 23 submissions.



Pricai 2008 Trends In Artificial Intelligence


Pricai 2008 Trends In Artificial Intelligence
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Author : Tu-Bao Ho
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-24

Pricai 2008 Trends In Artificial Intelligence written by Tu-Bao Ho 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 2008-11-24 with Computers categories.


This book constitutes the refereed proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008, held in Hanoi, Vietnam, in December 2008. The 49 revised long papers, 33 revised regular papers, and 32 poster papers presented together with 1 keynote talk and 3 invited lectures were carefully reviewed and selected from 234 submissions. The papers address all current issues of modern AI research with topics such as AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc. as well as various exciting and innovative applications of AI to many different areas. Particular importance is attached to the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.



The Logic Of Knowledge Bases


The Logic Of Knowledge Bases
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Author : Hector J. Levesque
language : en
Publisher: MIT Press
Release Date : 2001-02-15

The Logic Of Knowledge Bases written by Hector J. Levesque and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-15 with Computers categories.


This 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.



Neuro Symbolic Artificial Intelligence The State Of The Art


Neuro Symbolic Artificial Intelligence The State Of The Art
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Author : P. Hitzler
language : en
Publisher: IOS Press
Release Date : 2022-01-19

Neuro Symbolic Artificial Intelligence The State Of The Art written by P. Hitzler and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.


Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.



Principles Of Knowledge Representation And Reasoning


Principles Of Knowledge Representation And Reasoning
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Author : Bernhard Nebel
language : en
Publisher: Morgan Kaufmann Publishers
Release Date : 1992

Principles Of Knowledge Representation And Reasoning written by Bernhard Nebel and has been published by Morgan Kaufmann Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.


Stringently reviewed papers presented at the October 1992 meeting held in Cambridge, Mass., address such topics as nonmonotonic logic; taxonomic logic; specialized algorithms for temporal, spatial, and numerical reasoning; and knowledge representation issues in planning, diagnosis, and natural langu



Ai 2012 Advances In Artificial Intelligence


Ai 2012 Advances In Artificial Intelligence
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Author : Michael Thielscher
language : en
Publisher: Springer
Release Date : 2013-02-01

Ai 2012 Advances In Artificial Intelligence written by Michael Thielscher and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-01 with Computers categories.


This book constitutes the refereed proceedings of the 25th Australasian Joint Conference on Artificial Intelligence, AI 2012, held in Sydney, Australia, in December 2012. The 76 revised full papers presented were carefully reviewed and selected from 196 submissions. The papers address a wide range of agents, applications, computer vision, constraints and search, game playing, information retrieval, knowledge representation, machine learning, planning and scheduling, robotics and uncertainty in AI.



Conceptual Modeling Foundations And Applications


Conceptual Modeling Foundations And Applications
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Author : Alex T. Borgida
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-06

Conceptual Modeling Foundations And Applications written by Alex T. Borgida 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 2009-07-06 with Computers categories.


This Festschrift volume, published in honor of John Mylopoulos on the occasion of his retirement from the University of Toronto, contains 25 high-quality papers, written by leading scientists in the field of conceptual modeling. The volume has been divided into six sections. The first section focuses on the foundations of conceptual modeling and contains material on ontologies and knowledge representation. The four sections on software and requirements engineering, information systems, information integration, and web and services, represent the chief current application domains of conceptual modeling. Finally, the section on implementations concentrates on projects that build tools to support conceptual modeling. With its in-depth coverage of diverse topics, this book could be a useful companion to a course on conceptual modeling.



Toward Robots That Reason Logic Probability Causal Laws


Toward Robots That Reason Logic Probability Causal Laws
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Author : Vaishak Belle
language : en
Publisher: Springer Nature
Release Date : 2023-02-20

Toward Robots That Reason Logic Probability Causal Laws written by Vaishak Belle and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Computers categories.


This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is available about the application at hand. It then presents a mathematical treatment of the core issues that arise when unifying first-order logic and probability, especially in the presence of dynamics, including physical actions, sensing actions and their effects. A model for expressing causal laws describing dynamics is also considered, along with computational ideas for reasoning with such laws over probabilistic logical knowledge.