Epistemic Situation Calculus Based On Granular Computing

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Epistemic Situation Calculus Based on Granular Computing

Author : Seiki Akama
Publisher : Springer Nature
ISBN 13 : 3031285514
Total Pages : 171 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Epistemic Situation Calculus Based on Granular Computing by : Seiki Akama

Download or read book Epistemic Situation Calculus Based on Granular Computing written by Seiki Akama and published by Springer Nature. This book was released on 2023-06-16 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book approaches to the subject of common-sense reasoning in AI using epistemic situation calculus which integrates the ideas of situation calculus and epistemic logic. Artificial intelligence (AI) is the research area of science and engineering for intelligent machines, especially intelligent computer programs. It is very important to deal with common-sense reasoning in knowledge-based systems. If we employ a logic-based framework, classical logic is not suited for the purpose of describing common-sense reasoning. It is well known that there are several difficulties with logic-based approaches, e.g., the so-called Fame Problem. We try to formalize common-sense reasoning in the context of granular computing based on rough set theory. The book is intended for those, like experts and students, who wish to get involved in the field as a monograph or a textbook for the subject. We assume that the reader has mastered the material ordinarily covered in AI and mathematical logic

Handbook of Granular Computing

Author : Witold Pedrycz
Publisher : John Wiley & Sons
ISBN 13 : 0470724153
Total Pages : 1148 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Handbook of Granular Computing by : Witold Pedrycz

Download or read book Handbook of Granular Computing written by Witold Pedrycz and published by John Wiley & Sons. This book was released on 2008-07-31 with total page 1148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Author : Guoyin Wang
Publisher : Springer
ISBN 13 : 354039205X
Total Pages : 758 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Guoyin Wang

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Guoyin Wang and published by Springer. This book was released on 2003-08-03 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Author : Dominik Slezak
Publisher : Springer
ISBN 13 : 3540318259
Total Pages : 764 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Dominik Slezak

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Dominik Slezak and published by Springer. This book was released on 2005-09-19 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Web Intelligence Meets Brain Informatics

Author : Ning Zhong
Publisher : Springer Science & Business Media
ISBN 13 : 3540770275
Total Pages : 526 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Web Intelligence Meets Brain Informatics by : Ning Zhong

Download or read book Web Intelligence Meets Brain Informatics written by Ning Zhong and published by Springer Science & Business Media. This book was released on 2007-11-29 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the First WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006, which was held in Beijing, China, in December 2006. The workshop explores a new perspective of Web Intelligence (WI) research from the viewpoint of Brain Informatics (BI). The 26 revised full-length papers presented together with three introductory lectures have been carefully reviewed and selected.

Advances in Applied Logics

Author : Jair Minoro Abe
Publisher : Springer Nature
ISBN 13 : 3031357590
Total Pages : 210 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Applied Logics by : Jair Minoro Abe

Download or read book Advances in Applied Logics written by Jair Minoro Abe and published by Springer Nature. This book was released on 2023-12-01 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains contributions from several international authors to topics of current interest, such as AI, intelligent systems, and logic applications in different branches of knowledge. Foundational aspects of the various techniques are also covered, notably non-classical formalisms. The tome is intended for researchers, undergraduate and graduate students, and lay readers. The book is dedicated to researcher Seiki Akama on his sixtieth birthday. Akama is one of the critical scientists who dedicated himself to understanding the use of alternative logic in the various issues of AI, ranging from its foundations to concrete applications and philosophical reflections.

Granular Computing

Author : Andrzej Bargiela
Publisher : Springer Science & Business Media
ISBN 13 : 1461510333
Total Pages : 464 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Granular Computing by : Andrzej Bargiela

Download or read book Granular Computing written by Andrzej Bargiela and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and communication between humans. Intuitively, we sense that information granules are at the heart of all our perceptual activities. In the past, several formal frameworks and tools, geared for processing specific information granules, have been proposed. Interval analysis, rough sets, fuzzy sets have all played important role in knowledge representation and processing. Subsequently, information granulation and information granules arose in numerous application domains. Well-known ideas of rule-based systems dwell inherently on information granules. Qualitative modeling, being one of the leading threads of AI, operates on a level of information granules. Multi-tier architectures and hierarchical systems (such as those encountered in control engineering), planning and scheduling systems all exploit information granularity. We also utilize information granules when it comes to functionality granulation, reusability of information and efficient ways of developing underlying information infrastructures.

Rough Sets and Intelligent Systems Paradigms

Author : Marzena Kryszkiewicz
Publisher : Springer Science & Business Media
ISBN 13 : 3540734503
Total Pages : 854 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Rough Sets and Intelligent Systems Paradigms by : Marzena Kryszkiewicz

Download or read book Rough Sets and Intelligent Systems Paradigms written by Marzena Kryszkiewicz and published by Springer Science & Business Media. This book was released on 2007-06-18 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, RSEISP 2007, held in Warsaw, Poland in June 2007 - dedicated to the memory of Professor Zdzislaw Pawlak. The 73 revised full papers papers presented together with 2 keynote lectures and 11 invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on foundations of rough sets, foundations and applications of fuzzy sets, granular computing, algorithmic aspects of rough sets, rough set applications, rough/fuzzy approach, information systems and rough sets, data and text mining, machine learning, hybrid methods and applications, multiagent systems, applications in bioinformatics and medicine, multimedia applications, as well as web reasoning and human problem solving.

Topics in Rough Set Theory

Author : Seiki Akama
Publisher : Springer Nature
ISBN 13 : 3030295664
Total Pages : 201 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Topics in Rough Set Theory by : Seiki Akama

Download or read book Topics in Rough Set Theory written by Seiki Akama and published by Springer Nature. This book was released on 2019-09-10 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses current topics in rough set theory. Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.

Knowledge Contributors

Author : Vincent F. Hendricks
Publisher : Springer Science & Business Media
ISBN 13 : 9400710011
Total Pages : 208 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Knowledge Contributors by : Vincent F. Hendricks

Download or read book Knowledge Contributors written by Vincent F. Hendricks and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this thematically unified anthology is to track the history of epistemic logic, to consider some important applications of these logics of knowledge and belief in a variety of fields, and finally to discuss future directions of research with particular emphasis on 'active agenthood' and multi-modal systems. It is accessible to researchers and graduate students in philosophy, computer science, game theory, economics and related disciplines utilizing the means and methods of epistemic logic.

The ... IEEE International Conference on Fuzzy Systems Proceedings

Author :
Publisher :
ISBN 13 :
Total Pages : 856 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The ... IEEE International Conference on Fuzzy Systems Proceedings by :

Download or read book The ... IEEE International Conference on Fuzzy Systems Proceedings written by and published by . This book was released on 1998 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Mind Illuminated

Author : Culadasa
Publisher : Hay House, Inc
ISBN 13 : 1781808791
Total Pages : 675 pages
Book Rating : 4.7/5 (818 download)

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Book Synopsis The Mind Illuminated by : Culadasa

Download or read book The Mind Illuminated written by Culadasa and published by Hay House, Inc. This book was released on 2017-01-03 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mind Illuminated is a comprehensive, accessible and - above all - effective book on meditation, providing a nuts-and-bolts stage-based system that helps all levels of meditators establish and deepen their practice. Providing step-by-step guidance for every stage of the meditation path, this uniquely comprehensive guide for a Western audience combines the wisdom from the teachings of the Buddha with the latest research in cognitive psychology and neuroscience. Clear and friendly, this in-depth practice manual builds on the nine-stage model of meditation originally articulated by the ancient Indian sage Asanga, crystallizing the entire meditative journey into 10 clearly-defined stages. The book also introduces a new and fascinating model of how the mind works, and uses illustrations and charts to help the reader work through each stage. This manual is an essential read for the beginner to the seasoned veteran of meditation.

Pattern Recognition and Machine Learning

Author : Christopher M. Bishop
Publisher : Springer
ISBN 13 : 9781493938438
Total Pages : 0 pages
Book Rating : 4.9/5 (384 download)

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Book Synopsis Pattern Recognition and Machine Learning by : Christopher M. Bishop

Download or read book Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Dealing with Complexity

Author : Robert L. Flood
Publisher : Springer Science & Business Media
ISBN 13 : 1475722354
Total Pages : 291 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Dealing with Complexity by : Robert L. Flood

Download or read book Dealing with Complexity written by Robert L. Flood and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents 11. 2. 2. Four Main Areas of Dispute 247 11. 2. 3. Summary . . . 248 11. 3. Making Sense of the Issues . . 248 11. 3. 1. Introduction . . . . 248 11. 3. 2. The Scientific Approach 248 11. 3. 3. Science and Matters of Society . 249 11. 3. 4. Summary . 251 11. 4. Tying It All Together . . . . 251 11. 4. 1. Introduction . . . . 251 11. 4. 2. A Unifying Framework 251 11. 4. 3. Critical Systems Thinking 253 11. 4. 4. Summary 254 11. 5. Conclusion 254 Questions . . . 255 REFERENCES . . . . . . . . . . . . . . . . . . . 257 INDEX . . . . . . . . . . . . . . . . . . . . . . 267 Chapter One SYSTEMS Origin and Evolution, Terms and Concepts 1. 1. INTRODUCTION We start this book with Theme A (see Figure P. I in the Preface), which aims to develop an essential and fundamental understanding of systems science. So, what is systems science? When asked to explain what systems science is all about, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject areas where the ideas are used. Indeed, it was precisely this difficulty that identified the need for a comprehensive well-documented account such as is presented here in Dealing with Complexity.

The World Computer

Author : Jonathan Beller
Publisher : Duke University Press
ISBN 13 : 1478012706
Total Pages : 209 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis The World Computer by : Jonathan Beller

Download or read book The World Computer written by Jonathan Beller and published by Duke University Press. This book was released on 2021-01-22 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: In The World Computer Jonathan Beller forcefully demonstrates that the history of commodification generates information itself. Out of the omnipresent calculus imposed by commodification, information emerges historically as a new money form. Investigating its subsequent financialization of daily life and colonization of semiotics, Beller situates the development of myriad systems for quantifying the value of people, objects, and affects as endemic to racial capitalism and computation. Built on oppression and genocide, capital and its technical result as computation manifest as racial formations, as do the machines and software of social mediation that feed racial capitalism and run on social difference. Algorithms, derived from for-profit management strategies, conscript all forms of expression—language, image, music, communication—into the calculus of capital such that even protest may turn a profit. Computational media function for the purpose of extraction rather than ameliorating global crises, and financialize every expressive act, converting each utterance into a wager. Repairing this ecology of exploitation, Beller contends, requires decolonizing information and money, and the scripting of futures wagered by the cultural legacies and claims of those in struggle.

The Wealth of Networks

Author : Yochai Benkler
Publisher : Yale University Press
ISBN 13 : 9780300125771
Total Pages : 532 pages
Book Rating : 4.1/5 (257 download)

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Book Synopsis The Wealth of Networks by : Yochai Benkler

Download or read book The Wealth of Networks written by Yochai Benkler and published by Yale University Press. This book was released on 2006-01-01 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes how patterns of information, knowledge, and cultural production are changing. The author shows that the way information and knowledge are made available can either limit or enlarge the ways people create and express themselves. He describes the range of legal and policy choices that confront.

Representing and Reasoning with Probabilistic Knowledge

Author : Fahiem Bacchus
Publisher : Cambridge, Mass. : MIT Press
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Representing and Reasoning with Probabilistic Knowledge by : Fahiem Bacchus

Download or read book Representing and Reasoning with Probabilistic Knowledge written by Fahiem Bacchus and published by Cambridge, Mass. : MIT Press. This book was released on 1990 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic information has many uses in an intelligent system. This book explores logical formalisms for representing and reasoning with probabilistic information that will be of particular value to researchers in nonmonotonic reasoning, applications of probabilities, and knowledge representation. It demonstrates that probabilities are not limited to particular applications, like expert systems; they have an important role to play in the formal design and specification of intelligent systems in general. Fahiem Bacchus focuses on two distinct notions of probabilities: one propositional, involving degrees of belief, the other proportional, involving statistics. He constructs distinct logics with different semantics for each type of probability that are a significant advance in the formal tools available for representing and reasoning with probabilities. These logics can represent an extensive variety of qualitative assertions, eliminating requirements for exact point-valued probabilities, and they can represent firstshy;order logical information. The logics also have proof theories which give a formal specification for a class of reasoning that subsumes and integrates most of the probabilistic reasoning schemes so far developed in AI. Using the new logical tools to connect statistical with propositional probability, Bacchus also proposes a system of direct inference in which degrees of belief can be inferred from statistical knowledge and demonstrates how this mechanism can be applied to yield a powerful and intuitively satisfying system of defeasible or default reasoning. Fahiem Bacchus is Assistant Professor of Computer Science at the University of Waterloo, Ontario. Contents: Introduction. Propositional Probabilities. Statistical Probabilities. Combining Statistical and Propositional Probabilities Default Inferences from Statistical Knowledge.