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Reasoning With Incomplete Information
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Book Synopsis Reasoning with Incomplete Information by : David W. Etherington
Download or read book Reasoning with Incomplete Information written by David W. Etherington and published by Pitman Publishing. This book was released on 1988 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Automation of Reasoning with Incomplete Information by : Torsten Schaub
Download or read book The Automation of Reasoning with Incomplete Information written by Torsten Schaub and published by Springer Science & Business Media. This book was released on 1997 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reasoning with incomplete information constitutes a major challenge for any intelligent system. In fact, we expect such systems not to become paralyzed by missing information but rather to arrive at plausible results by bridging the gaps in the information available. A versatile way of reasoning in the absence of information is to reason by default. This book aims at providing formal and practical means for automating reasoning with incomplete information by starting from the approach taken by the framework of default logic. For this endeavor, a bridge is spanned between formal semantics, over systems for default reasoning, to efficient implementation.
Book Synopsis Reasoning Under Incomplete Information In Artificial Intelligence by : Léa Sombé
Download or read book Reasoning Under Incomplete Information In Artificial Intelligence written by Léa Sombé and published by . This book was released on 1990-09-10 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The formalization of ``revisable reasoning'' has been the object of numerous works, developed independently and using many diverse approaches--approaches that are purely symbolic, use numbers to quantify uncertainty, are close to formal logic or less formalized; some deal with exceptions, and a smaller number consider the problem of knowledge bases of revision. This work presents and compares several of these revisable (incomplete) reasoning methods for use in AI. Each method is systematically evaluated with a single example to give the reader an appreciation of the rationale and use of each formulation. The logics considered include: default logic, non-monotonic modal logics, the supposition-based logic, the conditional logics, and the logics of uncertainty. The book also discusses the contribution of works on truth maintenance and logic of action.
Book Synopsis Incomplete Information: Rough Set Analysis by : Ewa Orlowska
Download or read book Incomplete Information: Rough Set Analysis written by Ewa Orlowska and published by Physica. This book was released on 2013-03-14 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
Book Synopsis Reasoning Under Incomplete Information in Artificial Intelligence by :
Download or read book Reasoning Under Incomplete Information in Artificial Intelligence written by and published by . This book was released on 1990 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Qualitative Reasoning by : Benjamin Kuipers
Download or read book Qualitative Reasoning written by Benjamin Kuipers and published by MIT Press. This book was released on 1994 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Qualitative models are better able than traditional models to express states of incomplete knowledge about continuous mechanisms. Qualitative simulation guarantees to find all possible behaviors consistent with the knowledge in the model. This expressive power and coverage is important in problem solving for diagnosis, design, monitoring, explanation, and other applications of artificial intelligence.
Book Synopsis Nonmonotonic Reasoning by : Grigoris Antoniou
Download or read book Nonmonotonic Reasoning written by Grigoris Antoniou and published by MIT Press. This book was released on 1997 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonmonotonic reasoning provides formal methods that enable intelligent systems to operate adequately when faced with incomplete or changing information. In particular, it provides rigorous mechanisms for taking back conclusions that, in the presence of new information, turn out to be wrong and for deriving new, alternative conclusions instead. Nonmonotonic reasoning methods provide rigor similar to that of classical reasoning; they form a base for validation and verification and therefore increase confidence in intelligent systems that work with incomplete and changing information. Following a brief introduction to the concepts of predicate logic that are needed in the subsequent chapters, this book presents an in depth treatment of default logic. Other subjects covered include the major approaches of autoepistemic logic and circumscription, belief revision and its relationship to nonmonotonic inference, and briefly, the stable and well-founded semantics of logic programs.
Book Synopsis Logic Programming and Nonmonotonic Reasoning by : Vladimir Lifschitz
Download or read book Logic Programming and Nonmonotonic Reasoning written by Vladimir Lifschitz and published by Springer Science & Business Media. This book was released on 2004-02-12 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2004, held in Fort Lauderdale, Florida, USA in January 2004. The 24 revised full papers presented together with 8 system descriptions were carefully reviewed and selected for presentation. Among the topics addressed are declarative logic programming, nonmonotonic reasoning, knowledge representation, combinatorial search, answer set programming, constraint programming, deduction in ontologies, and planning.
Book Synopsis Principles of Knowledge Representation and Reasoning by : Jon Doyle
Download or read book Principles of Knowledge Representation and Reasoning written by Jon Doyle and published by Morgan Kaufmann. This book was released on 1994 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of KR '94 comprise 55 papers on topics including deduction an search, description logics, theories of knowledge and belief, nonmonotonic reasoning and belief revision, action and time, planning and decision-making and reasoning about the physical world, and the relations between KR
Book Synopsis Mental Models in Discourse Processing and Reasoning by : G. Rickheit
Download or read book Mental Models in Discourse Processing and Reasoning written by G. Rickheit and published by Elsevier. This book was released on 1999-10-29 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this interdisciplinary discussion on mental models, researchers from various areas in cognitive science tackle the following questions: What is a mental model? What are the prospects and limitations in applying the mental model notion in cognitive science? How can the ideas on the nature of mental models and their mode of operation be empirically substantiated? The primary goal of the research group was to work out a definition of mental models that embraces the overall use of this construct in cognitive science as well as the more specific conceptions used in particular research domains such as cognitive linguistics. Theoretical claims about the properties of mental models were discussed and their tenability evaluated against the empirical evidence. The volume is divided into three parts. Fundamental aspects of mental models are presented in the first section, the following part contains contributions to the function of mental models in discourse processing, and finally problems of mental models in reasoning and problem solving are outlined.
Book Synopsis Reasoning Web by : Cristina Baroglio
Download or read book Reasoning Web written by Cristina Baroglio and published by Springer. This book was released on 2008-09-08 with total page 275 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.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Alessandro Antonucci
Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Alessandro Antonucci and published by Springer. This book was released on 2017-07-03 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2017, held in Lugano, Switzerland, in July 2017. The 44 revised full papers presented together with 5 abstracts of invited talks were carefully reviewed and selected from 63 submissions and cover topics on analogical reasoning; argumentation; Bayesian networks; belief functions; conditionals; credal sets, credal networks; decision theory, decision making and reasoning under uncertainty; fuzzy sets, fuzzy logic; logics; orthopairs; possibilistic networks; and probabilistic logics, probabilistic reasoning.
Book Synopsis Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation by : Yao, JingTao
Download or read book Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation written by Yao, JingTao and published by IGI Global. This book was released on 2010-06-30 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book investigages granular computing (GrC), which emerged as one of the fastest growing information processing paradigms in computational intelligence and human-centric systems"--Provided by publisher.
Book Synopsis Models of Strategic Reasoning by : Johan van Benthem
Download or read book Models of Strategic Reasoning written by Johan van Benthem and published by Springer. This book was released on 2016-01-08 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strategic behavior is the key to social interaction, from the ever-evolving world of living beings to the modern theatre of designed computational agents. Strategies can make or break participants’ aspirations, whether they are selling a house, playing the stock market, or working toward a treaty that limits global warming. This book aims at understanding the phenomenon of strategic behavior in its proper width and depth. A number of experts have combined forces in order to create a comparative view of the different frameworks for strategic reasoning in social interactions that have been developed in game theory, computer science, logic, linguistics, philosophy, and cognitive and social sciences. The chapters are organized in three topic-based sections, namely reasoning about games; formal frameworks for strategies; and strategies in social situations. The book concludes with a discussion on the future of logical studies of strategies.
Book Synopsis Reasoning with Incomplete Information by : David William Etherington
Download or read book Reasoning with Incomplete Information written by David William Etherington and published by . This book was released on 1986 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Automation of Reasoning with Incomplete Information by : Torsten Schaub
Download or read book The Automation of Reasoning with Incomplete Information written by Torsten Schaub and published by . This book was released on 2014-01-15 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: