Reasoning With Incomplete Information
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Reasoning With Incomplete Information
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Author : David W. Etherington
language : en
Publisher: Pitman Publishing
Release Date : 1988
Reasoning With Incomplete Information written by David W. Etherington and has been published by Pitman Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Artificial intelligence categories.
The Automation Of Reasoning With Incomplete Information
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Author : Torsten Schaub
language : en
Publisher: Springer Science & Business Media
Release Date : 1997
The Automation Of Reasoning With Incomplete Information written by Torsten Schaub 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 1997 with Computers categories.
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.
Reasoning Under Incomplete Information In Artificial Intelligence
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Author : Léa Sombé
language : en
Publisher:
Release Date : 1990-09-10
Reasoning Under Incomplete Information In Artificial Intelligence written by Léa Sombé and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-09-10 with Computers categories.
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.
The Automation Of Reasoning With Incomplete Information
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Author : Torsten Schaub
language : en
Publisher:
Release Date : 2014-01-15
The Automation Of Reasoning With Incomplete Information written by Torsten Schaub and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Reasoning With Incomplete Information
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Author : Helena Rasiowa
language : en
Publisher:
Release Date : 1997
Reasoning With Incomplete Information written by Helena Rasiowa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Reasoning With Incomplete Information
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Author : David William Etherington
language : en
Publisher:
Release Date : 1986
Reasoning With Incomplete Information written by David William Etherington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Artificial intelligence categories.
Reasoning Under Incomplete Information In Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 1990
Reasoning Under Incomplete Information In Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Intelligence artificielle categories.
Minimal Consequence
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Author : Mary-Angela Papalaskari
language : en
Publisher:
Release Date : 1988
Minimal Consequence written by Mary-Angela Papalaskari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Bionics categories.
Incomplete Information Structure Inference Complexity
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Author : Stephane P. Demri
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-18
Incomplete Information Structure Inference Complexity written by Stephane P. Demri 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 2013-04-18 with Mathematics categories.
This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. Throughout, Demri studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the actual information that is needed in the process of analysis without external sources of information being required. The book is self-contained to a large degree, providing detailed derivations of most of the technical results, and is intended for researchers, lecturers and graduate students.
Reasoning With Incomplete Knowledge In A Resource Limited Environment Integrating Reasoning And Knowledge Acquisition
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Author : Mark S. Fox
language : en
Publisher:
Release Date : 1981
Reasoning With Incomplete Knowledge In A Resource Limited Environment Integrating Reasoning And Knowledge Acquisition written by Mark S. Fox and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.
This paper describes an approach to reasoning with incomplete information in a resource-limited environment. Approaches to date either assume infinite resources and proceed to enumerate a large inference space, or assume few resources and ignore the missing information. They do not reason about resource constraints and the inference methods admissable under them. A Hearsay-II-like system is described where each knowledge source is a separate production system. During rule evaluation, a rule antecedant is evaluated using minimal-resource methods. A rule antecedant is evaluated to true, false, or an expected resource cost to acquire the information necessary to complete its evaluation. If conflict resolution chooses a partially evaluated rule, it posts a goal asking other knowledge sources to provide the missing information, suspends the knowledge source, and informs the knowledge source's manager about the suspension and accompanying goal. The manager decides whether the goal is worth pursuing now, that amount of resources to apply to the task, what knowledge sources to apply, and when to give up. The knowledge sources that attempt the goal can implement a variety of inferential and knowledge acquisition techniques. (Author).