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Advances In Knowledge Representation Logic Programming And Abstract Argumentation
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Book Synopsis Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation by : Thomas Eiter
Download or read book Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation written by Thomas Eiter and published by Springer. This book was released on 2015-01-07 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift is published in honor of Gerhard Brewka on the occasion of his 60th birthday and contains articles from fields reflecting the breadth of Gerd's work. The 24 scientific papers included in the book are written by close friends and colleagues and cover topics such as Actions and Agents, Nonmonotonic and Human Reasoning, Preferences and Argumentation.
Book Synopsis Advances in Knowledge Representation by : Carlos Ramirez
Download or read book Advances in Knowledge Representation written by Carlos Ramirez and published by BoD – Books on Demand. This book was released on 2012-05-09 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent information retrieval, program proof checking, complex planning, and data preparation for knowledge modelling, and a extensive bibliography. It is a valuable contribution to the advancement of the field. The expected readers are advanced students and researchers on the knowledge representation field and related areas; it may also help to computer oriented practitioners of diverse fields looking for ideas on how to develop a knowledge-based application.
Book Synopsis Foundations of Information and Knowledge Systems by : Arne Meier
Download or read book Foundations of Information and Knowledge Systems written by Arne Meier and published by Springer Nature. This book was released on with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Foundations of Information and Knowledge Systems by : Andreas Herzig
Download or read book Foundations of Information and Knowledge Systems written by Andreas Herzig and published by Springer Nature. This book was released on 2020-01-28 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2020, held in Dortmund, Germany, in February 2020. The 19 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation, reasoning and planning; logics in databases and AI; mathematical foundations; security in information and knowledge systems; semi-structured data and XML; social computing; the semantic web and knowledge management; and the world wide web.
Book Synopsis Conflict Resolution in Decision Making by : Reyhan Aydoğan
Download or read book Conflict Resolution in Decision Making written by Reyhan Aydoğan and published by Springer. This book was released on 2017-04-20 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly revised selected papers of the Second International Workshop on Conflict and Resolution in Decision Makrung, COREDEMA 2016, held in The Hague, The Netherlands, in August 2016. The 9 revised papers presented were carefully reviewed and selected from 13 submissions. The 2nd International Workshop on Conflict Resolution in Decision Making (COREDEMA 2016) focuses on theoretical and practical computational approaches for solving and understanding conflict resolution.
Book Synopsis Logics in Artificial Intelligence by : Loizos Michael
Download or read book Logics in Artificial Intelligence written by Loizos Michael and published by Springer. This book was released on 2016-11-02 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Knowledge Representation and Inductive Reasoning Using Conditional Logic and Sets of Ranking Functions by : S. Kutsch
Download or read book Knowledge Representation and Inductive Reasoning Using Conditional Logic and Sets of Ranking Functions written by S. Kutsch and published by IOS Press. This book was released on 2021-02-09 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: A core problem in Artificial Intelligence is the modeling of human reasoning. Classic-logical approaches are too rigid for this task, as deductive inference yielding logically correct results is not appropriate in situations where conclusions must be drawn based on the incomplete or uncertain knowledge present in virtually all real world scenarios. Since there are no mathematically precise and generally accepted definitions for the notions of plausible or rational, the question of what a knowledge base consisting of uncertain rules entails has long been an issue in the area of knowledge representation and reasoning. Different nonmonotonic logics and various semantic frameworks and axiom systems have been developed to address this question. The main theme of this book, Knowledge Representation and Inductive Reasoning using Conditional Logic and Sets of Ranking Functions, is inductive reasoning from conditional knowledge bases. Using ordinal conditional functions as ranking models for conditional knowledge bases, the author studies inferences induced by individual ranking models as well as by sets of ranking models. He elaborates in detail the interrelationships among the resulting inference relations and shows their formal properties with respect to established inference axioms. Based on the introduction of a novel classification scheme for conditionals, he also addresses the question of how to realize and implement the entailment relations obtained. In this work, “Steven Kutsch convincingly presents his ideas, provides illustrating examples for them, rigorously defines the introduced concepts, formally proves all technical results, and fully implements every newly introduced inference method in an advanced Java library (...). He significantly advances the state of the art in this field.” – Prof. Dr. Christoph Beierle of the FernUniversität in Hagen
Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Jiřina Vejnarová
Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Jiřina Vejnarová and published by Springer Nature. This book was released on 2021-09-21 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2021, held in Prague, Czech Republic, in September 2021. The 48 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections about argumentation and analogical reasoning, Bayesian networks and graphical models, belief functions, imprecise probability, inconsistency handling and preferences, possibility theory and fuzzy approaches, and probability logic.
Book Synopsis Logics in Artificial Intelligence by : Francesco Calimeri
Download or read book Logics in Artificial Intelligence written by Francesco Calimeri and published by Springer. This book was released on 2019-05-06 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Models of Argument by : P. Baroni
Download or read book Computational Models of Argument written by P. Baroni and published by IOS Press. This book was released on 2016-09-02 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research into computational models of argument is a rich interdisciplinary field involving the study of natural, artificial and theoretical argumentation and requiring openness to interactions with a variety of disciplines, ranging from philosophy and cognitive science to formal logic and graph theory. The ultimate aim is to support the development of computer-based systems able to engage in argumentation-related activities, either with human users or among themselves. This book presents the proceedings of the sixth biennial International Conference on Computational Models of Argument (COMMA 2016), held in Potsdam, Germany, on 12- 16 September. The aim of the COMMA conferences is to bring together researchers interested in computational models of argument and the representation of argumentation structures in natural language texts, with special attention to contributions concerning emerging trends and the development of new connections with other areas. The book contains the 25 full papers, 17 short papers and 10 demonstration abstracts presented at the conference, together with 3 invited talks. Subjects covered include abstract, bipolar and structured argumentation, quantitative approaches and their connections with formalisms like Bayesian networks and fuzzy logic, multi-agent scenarios, algorithms and solvers, and mining arguments in text, dialogue, and social media. The book provides an overview of current research and developments in the field of computational models of argument, and will be essential reading for all those with an interest in the field.
Book Synopsis Logic and Argumentation by : Pietro Baroni
Download or read book Logic and Argumentation written by Pietro Baroni and published by Springer Nature. This book was released on 2021-10-14 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Logic and Argumentation, CLAR 2021, held in Hangzhou, China, in October 2021. The 20 full and 10 short papers presented together with 5 invited papers were carefully reviewed and selected from 58 submissions. The topics of accepted papers cover the focus of the CLAR series, including formal models of argumentation, a variety of logic formalisms, nonmonotonic reasoning, dispute and dialogue systems, formal treatment of preference and support, and well as applications in areas like vaccine information and processing of legal texts.
Book Synopsis Computational Models of Argument by : S. Modgil
Download or read book Computational Models of Argument written by S. Modgil and published by IOS Press. This book was released on 2018-09-06 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: In its classical form, the study of argumentation focuses on human-oriented uses of argument, such as whether an argument is legitimate or flawed, engagement in debate, or the rhetorical aspects of argumentation. In recent decades, however, the study of logic and computational models of argumentation has emerged as a growing sub-area of AI. This book presents the Seventh International Conference on Computational Models of Argument (COMMA’18), held in Warsaw, Poland, from 12 to 14 September 2018. Since its inception in 2006, the conference and its related activities have developed alongside the steady growth of interest in computational argumentation worldwide, and the selection of 25 full papers and 17 short papers, out of a total of 70 submissions, and 15 demonstration abstracts included here reflect the broad multidisciplinary nature of argumentation and the increasing body of work which establishes the relevance of computational models to various disciplines and real world applications. Subjects covered include: algorithm development; innovative applications; argument mining, argumentation-based models of dialogue; abstract argument frameworks; and structured argumentation. Representing an overview of current developments in the field, this book will appeal to all those with an interest in computational models of argument.
Book Synopsis Computational Models of Argument by : H. Prakken
Download or read book Computational Models of Argument written by H. Prakken and published by IOS Press. This book was released on 2020-09-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.
Book Synopsis Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering by : Jeff Z. Pan
Download or read book Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering written by Jeff Z. Pan and published by Springer. This book was released on 2017-02-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016. In 2016, the theme of the school was “Logical Foundation of Knowledge Graph Construction and Query Answering”. The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.
Book Synopsis Ewa Orłowska on Relational Methods in Logic and Computer Science by : Joanna Golińska-Pilarek
Download or read book Ewa Orłowska on Relational Methods in Logic and Computer Science written by Joanna Golińska-Pilarek and published by Springer. This book was released on 2018-12-08 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a tribute to Professor Ewa Orłowska, a Polish logician who was celebrating the 60th year of her scientific career in 2017. It offers a collection of contributed papers by different authors and covers the most important areas of her research. Prof. Orłowska made significant contributions to many fields of logic, such as proof theory, algebraic methods in logic and knowledge representation, and her work has been published in 3 monographs and over 100 articles in internationally acclaimed journals and conference proceedings. The book also includes Prof. Orłowska’s autobiography, bibliography and a trialogue between her and the editors of the volume, as well as contributors' biographical notes, and is suitable for scholars and students of logic who are interested in understanding more about Prof. Orłowska’s work.
Book Synopsis Multi-disciplinary Trends in Artificial Intelligence by : Chattrakul Sombattheera
Download or read book Multi-disciplinary Trends in Artificial Intelligence written by Chattrakul Sombattheera and published by Springer. This book was released on 2016-11-30 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 10th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2016, held in Chiang Mai, Thailand, in December 2016. The 22 revised full papers presented together with 5 short papers and 2 abstracts of invited talks were carefully reviewed and selected from 50 submissions. The workshop solicits papers from all areas of AI including cognitive science; computational intelligence; computational philosophy; game theory; machine learning; multi-agent systems; natural language; representation and reasoning; speech; vision and the web; as well as applications of AI in big data; bioinformatics; biometrics; decision support; e-commerce; image processing; analysis and retrieval; industrial applications; knowledge management; privacy; recommender systems; security; software engineering; spam filtering; surveillance; telecommunications; and web services.
Book Synopsis Knowledge Science, Engineering and Management by : Christos Douligeris
Download or read book Knowledge Science, Engineering and Management written by Christos Douligeris and published by Springer Nature. This book was released on 2019-08-20 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications. The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.
