Representing And Reasoning With Qualitative Preferences

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Representing and Reasoning with Qualitative Preferences

Author : Ganesh Ram Liu
Publisher : Springer Nature
ISBN 13 : 3031015738
Total Pages : 138 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Representing and Reasoning with Qualitative Preferences by : Ganesh Ram Liu

Download or read book Representing and Reasoning with Qualitative Preferences written by Ganesh Ram Liu and published by Springer Nature. This book was released on 2022-05-31 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a tutorial introduction to modern techniques for representing and reasoning about qualitative preferences with respect to a set of alternatives. The syntax and semantics of several languages for representing preference languages, including CP-nets, TCP-nets, CI-nets, and CP-theories, are reviewed. Some key problems in reasoning about preferences are introduced, including determining whether one alternative is preferred to another, or whether they are equivalent, with respect to a given set of preferences. These tasks can be reduced to model checking in temporal logic. Specifically, an induced preference graph that represents a given set of preferences can be efficiently encoded using a Kripke Structure for Computational Tree Logic (CTL). One can translate preference queries with respect to a set of preferences into an equivalent set of formulae in CTL, such that the CTL formula is satisfied whenever the preference query holds. This allows us to use a model checker to reason about preferences, i.e., answer preference queries, and to obtain a justification as to why a preference query is satisfied (or not) with respect to a set of preferences. This book defines the notions of the equivalence of two sets of preferences, including what it means for one set of preferences to subsume another, and shows how to answer preferential equivalence and subsumption queries using model checking. Furthermore, this book demontrates how to generate alternatives ordered by preference, along with providing ways to deal with inconsistent preference specifications. A description of CRISNER—an open source software implementation of the model checking approach to qualitative preference reasoning in CP-nets, TCP-nets, and CP-theories is included, as well as examples illustrating its use.

ECAI 2023

Author : K. Gal
Publisher : IOS Press
ISBN 13 : 164368437X
Total Pages : 3328 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis ECAI 2023 by : K. Gal

Download or read book ECAI 2023 written by K. Gal and published by IOS Press. This book was released on 2023-10-18 with total page 3328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Lluis Godo
Publisher : Springer
ISBN 13 : 3540318887
Total Pages : 1043 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Lluis Godo

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Lluis Godo and published by Springer. This book was released on 2005-08-25 with total page 1043 pages. Available in PDF, EPUB and Kindle. Book excerpt: These are the proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005, held in Barcelona (Spain), July 6–8, 2005. The ECSQARU conferences are biennial and have become a major forum for advances in the theory and practice of r- soning under uncertainty. The ?rst ECSQARU conference was held in Marseille (1991), and after in Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001) and Aalborg (2003). The papers gathered in this volume were selected out of 130 submissions, after a strict review process by the members of the Program Committee, to be presented at ECSQARU 2005. In addition, the conference included invited lectures by three outstanding researchers in the area, Seraf ́ ?n Moral (Imprecise Probabilities), Rudolf Kruse (Graphical Models in Planning) and J ́ erˆ ome Lang (Social Choice). Moreover, the application of uncertainty models to real-world problems was addressed at ECSQARU 2005 by a special session devoted to s- cessful industrial applications, organized by Rudolf Kruse. Both invited lectures and papers of the special session contribute to this volume. On the whole, the programme of the conference provided a broad, rich and up-to-date perspective of the current high-level research in the area which is re?ected in the contents of this volume. IwouldliketowarmlythankthemembersoftheProgramCommitteeandthe additional referees for their valuable work, the invited speakers and the invited session organizer.

Preferences and Similarities

Author : Giacomo Riccia
Publisher : Springer Science & Business Media
ISBN 13 : 3211854320
Total Pages : 329 pages
Book Rating : 4.2/5 (118 download)

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Book Synopsis Preferences and Similarities by : Giacomo Riccia

Download or read book Preferences and Similarities written by Giacomo Riccia and published by Springer Science & Business Media. This book was released on 2009-06-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.

Algorithmic Decision Theory

Author : Toby Walsh
Publisher : Springer
ISBN 13 : 3319231146
Total Pages : 593 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Algorithmic Decision Theory by : Toby Walsh

Download or read book Algorithmic Decision Theory written by Toby Walsh and published by Springer. This book was released on 2015-08-27 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA. The 32 full papers presented were carefully selected from 76 submissions. The papers are organized in topical sections such as preferences; manipulation, learning and other issues; utility and decision theory; argumentation; bribery and control; social choice; allocation and other problems; doctoral consortium.

Machine Learning and Knowledge Discovery in Databases

Author : Hendrik Blockeel
Publisher : Springer
ISBN 13 : 3642409946
Total Pages : 731 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Hendrik Blockeel

Download or read book Machine Learning and Knowledge Discovery in Databases written by Hendrik Blockeel and published by Springer. This book was released on 2013-08-28 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.

A Guided Tour of Artificial Intelligence Research

Author : Pierre Marquis
Publisher : Springer Nature
ISBN 13 : 3030061647
Total Pages : 808 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis A Guided Tour of Artificial Intelligence Research by : Pierre Marquis

Download or read book A Guided Tour of Artificial Intelligence Research written by Pierre Marquis and published by Springer Nature. This book was released on 2020-05-08 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). Implementing reasoning or decision making processes requires an appropriate representation of the pieces of information to be exploited. This first volume starts with a historical chapter sketching the slow emergence of building blocks of AI along centuries. Then the volume provides an organized overview of different logical, numerical, or graphical representation formalisms able to handle incomplete information, rules having exceptions, probabilistic and possibilistic uncertainty (and beyond), as well as taxonomies, time, space, preferences, norms, causality, and even trust and emotions among agents. Different types of reasoning, beyond classical deduction, are surveyed including nonmonotonic reasoning, belief revision, updating, information fusion, reasoning based on similarity (case-based, interpolative, or analogical), as well as reasoning about actions, reasoning about ontologies (description logics), argumentation, and negotiation or persuasion between agents. Three chapters deal with decision making, be it multiple criteria, collective, or under uncertainty. Two chapters cover statistical computational learning and reinforcement learning (other machine learning topics are covered in Volume 2). Chapters on diagnosis and supervision, validation and explanation, and knowledge base acquisition complete the volume.

Preferences and Decisions

Author : Salvatore Greco
Publisher : Springer
ISBN 13 : 3642159761
Total Pages : 420 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Preferences and Decisions by : Salvatore Greco

Download or read book Preferences and Decisions written by Salvatore Greco and published by Springer. This book was released on 2010-08-28 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making is an omnipresent, most crucial activity of the human being, and also of virtually all artificial broadly perceived “intelligent” systems that try to mimic human behavior, reasoning and choice processes. It is quite obvious that such a relevance of decision making had triggered vast research effort on its very essence, and attempts to develop tools and techniques which would make it possible to somehow mimic human decision making related acts, even to automate decision making processes that had been so far reserved for the human beings. The roots of those attempts at a scientific analysis can be traced to the ancient times but – clearly – they have gained momentum in the recent 50 or 100 years following a general boom in science. Depending on the field of science, decision making can be viewed in different ways. The most general view can be that decision making boils down to some cognitive, mental process(es) that lead to the selection of an option or a course of action among several alternatives. Then, looking in a deeper way, from a psychological perspective this process proceeds in the context of a set of needs, preferences, rational choice of an individual, a group of individuals, or even an organization. From a cognitive perspective, the decision making process proceeds in the context of various interactions with the environment.

Uncertainty Reasoning for the Semantic Web III

Author : Fernando Bobillo
Publisher : Springer
ISBN 13 : 3319134132
Total Pages : 346 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Uncertainty Reasoning for the Semantic Web III by : Fernando Bobillo

Download or read book Uncertainty Reasoning for the Semantic Web III written by Fernando Bobillo and published by Springer. This book was released on 2014-11-29 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

Formal Aspects of Component Software

Author : Corina S Pasareanu
Publisher : Springer
ISBN 13 : 3642358616
Total Pages : 286 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Formal Aspects of Component Software by : Corina S Pasareanu

Download or read book Formal Aspects of Component Software written by Corina S Pasareanu and published by Springer. This book was released on 2013-01-12 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the 9th International Symposium on Formal Aspects of Component Software, FACS 2012, held in Mountain View, CA, USA in September 2012. The 16 full papers presented were carefully reviewed and selected from 40 submissions. They cover topics such as formal models for software components and their interaction; formal aspects of services, service oriented architectures, business processes, and cloud computing; design and verification methods for software components and services; composition and deployment: models, calculi, languages; formal methods and modeling languages for components and services; model based and GUI based testing of components and services; models for QoS and other extra-functional properties (e.g., trust, compliance, security) of components and services; components for real-time, safety-critical, secure, and/or embedded systems; industrial or experience reports and case studies; update and reconfiguration of component and service architectures; component systems evolution and maintenance; autonomic components and self-managed applications; formal and rigorous approaches to software adaptation and self-adaptive systems.

Foundations of Intelligent Systems

Author : Michelangelo Ceci
Publisher : Springer
ISBN 13 : 3030018512
Total Pages : 473 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Foundations of Intelligent Systems by : Michelangelo Ceci

Download or read book Foundations of Intelligent Systems written by Michelangelo Ceci and published by Springer. This book was released on 2018-10-22 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 24th International Symposium on Foundations of Intelligent Systems, ISMIS 2018, held in Limassol, Cyprus, in October 2018. The 32 full, 8 short, and 4 application papers presented in this volume were carefully reviewed and selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for Modeling Complex Data.

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.

Intelligent Information Processing II

Author : Qing He
Publisher : Springer
ISBN 13 : 0387231528
Total Pages : 550 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Intelligent Information Processing II by : Qing He

Download or read book Intelligent Information Processing II written by Qing He and published by Springer. This book was released on 2006-01-20 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.

Logics in Artificial Intelligence

Author : Jose Julio Alferes
Publisher : Springer Science & Business Media
ISBN 13 : 3540232427
Total Pages : 757 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Logics in Artificial Intelligence by : Jose Julio Alferes

Download or read book Logics in Artificial Intelligence written by Jose Julio Alferes and published by Springer Science & Business Media. This book was released on 2004-09-24 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Logic in Multi-Agent Systems

Author : Jürgen Dix
Publisher : Springer Science & Business Media
ISBN 13 : 3642168663
Total Pages : 205 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Logic in Multi-Agent Systems by : Jürgen Dix

Download or read book Computational Logic in Multi-Agent Systems written by Jürgen Dix and published by Springer Science & Business Media. This book was released on 2010-10-29 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed and revised post-conference proceedings of the 10th International Workshop on Computational Logic for Multi-Agent Systems, CLIMA X, held in Hamburg, Germany, in September 2009 - co-located with MATES 2009, the 7th German conference on Multi-Agent System Technologies. The 9 full papers, presented together with one invited paper, were carefully selected and reviewed from 18 submissions. The topics covered are formal approaches and model checking, belief-desire-intention, answer set programming and (multi-)agent systems, and coordination and deliberation.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Khaled Mellouli
Publisher : Springer
ISBN 13 : 3540752560
Total Pages : 927 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Khaled Mellouli

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Khaled Mellouli and published by Springer. This book was released on 2007-09-14 with total page 927 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007. Coverage in the 78 revised full papers, presented together with three invited papers, includes Bayesian networks, graphical models, learning causal networks, planning, causality and independence, preference modeling and decision, argumentation systems, inconsistency handling, and uncertainty measures.

Web Information Systems Engineering – WISE 2018

Author : Hakim Hacid
Publisher : Springer
ISBN 13 : 3030029255
Total Pages : 527 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Web Information Systems Engineering – WISE 2018 by : Hakim Hacid

Download or read book Web Information Systems Engineering – WISE 2018 written by Hakim Hacid and published by Springer. This book was released on 2018-10-20 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11233 and LNCS 11234 constitutes the proceedings of the 19th International Conference on Web Information Systems Engineering, WISE 2018, held in Dubai, United Arab Emirates, in November 2018. The 48 full papers and 21 short papers presented were carefully reviewed and selected from 209 submissions. The papers are organized in topical sections on blockchain, security, social network and security, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web services and cloud computing, data stream and distributed computing, data mining techniques, entity linkage and semantics, Web applications, and data mining applications.