Dynamics Uncertainty And Reasoning

Author : Beishui Liao,Thomas Ågotnes,Yi N. Wang
Publisher : Springer
Page : 207 pages
File Size : 52,6 Mb
Release : 2019-07-23
Category : Philosophy
ISBN : 9789811377914

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Dynamics, Uncertainty and Reasoning by Beishui Liao,Thomas Ågotnes,Yi N. Wang Pdf

This volume collects selected papers presented at the Second Chinese Conference on Logic and Argumentation in 2018 held in Hangzhou, China. The papers presented reflect recent advances in logic and argumentation, as well as the connections between the two, and also include invited papers contributed by leading experts in these fields. The book covers a wide variety of topics related to dynamics, uncertainty and reasoning. It continues discussions on the interplay between logic and argumentation which has a long history from Aristotle’s ancient logic to very recent formal argumentation in AI.

Author : Dragan Pamucar ,Dragan Marinkovic,Samarjit Kar
Publisher : MDPI
Page : 210 pages
File Size : 43,7 Mb
Release : 2021-09-08
Category : Computers
ISBN : 9783036515762

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Dynamics under Uncertainty by Dragan Pamucar ,Dragan Marinkovic,Samarjit Kar Pdf

The dynamics of systems have proven to be very powerful tools in understanding the behavior of different natural phenomena throughout the last two centuries. However, the attributes of natural systems are observed to deviate from their classical states due to the effect of different types of uncertainties. Actually, randomness and impreciseness are the two major sources of uncertainties in natural systems. Randomness is modeled by different stochastic processes and impreciseness could be modeled by fuzzy sets, rough sets, Dempster–Shafer theory, etc.

Author : John-Jules Ch. Meyer,Jan Treur
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 46,5 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9789401717434

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Dynamics and Management of Reasoning Processes by John-Jules Ch. Meyer,Jan Treur Pdf

This volume, the 6th volume in the DRUMS Handbook series, is part of the after math of the successful ESPRIT project DRUMS (Defeasible Reasoning and Un certainty Management Systems) which took place in two stages from 1989-1996. In the second stage (1993-1996) a work package was introduced devoted to the topics Reasoning and Dynamics, covering both the topics of 'Dynamics of Rea soning', where reasoning is viewed as a process, and 'Reasoning about Dynamics', which must be understood as pertaining to how both designers of and agents within dynamic systems may reason about these systems. The present volume presents work done in this context. This work has an emphasis on modelling and formal techniques in the investigation of the topic "Reasoning and Dynamics", but it is not mere theory that occupied us. Rather research was aimed at bridging the gap between theory and practice. Therefore also real-life applications of the modelling techniques were considered, and we hope this also shows in this volume, which is focused on the dynamics of reasoning processes. In order to give the book a broader perspective, we have invited a number of well-known researchers outside the project but working on similar topics to contribute as well. We have very pleasant recollections of the project, with its lively workshops and other meetings, with the many sites and researchers involved, both within and outside our own work package.

Author : Bernadette Bouchon-Meunier,Luis Magdalena,Manuel Ojeda-Aciego,José-Luis Verdegay,Ronald R. Yager
Publisher : Springer
Page : 265 pages
File Size : 40,7 Mb
Release : 2010-01-11
Category : Technology & Engineering
ISBN : 9783642107283

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Foundations of Reasoning under Uncertainty by Bernadette Bouchon-Meunier,Luis Magdalena,Manuel Ojeda-Aciego,José-Luis Verdegay,Ronald R. Yager Pdf

Uncertainty exists almost everywhere, except in the most idealized situations; it is not only an inevitable and ubiquitous phenomenon, but also a fundamental sci- ti?c principle. Furthermore, uncertainty is an attribute of information and, usually, decision-relevant information is uncertain and/or imprecise, therefore the abilities to handle uncertain information and to reason from incomplete knowledge are c- cial features of intelligent behaviour in complex and dynamic environments. By carefully exploiting our tolerance for imprecision and approximation we can often achieve tractability, robustness, and better descriptions of reality than traditional - ductive methods would allow us to obtain. In conclusion, as we move further into the ageofmachineintelligence,theproblemofreasoningunderuncertainty,in other words, drawing conclusions from partial knowledge, has become a major research theme. Not surprisingly,the rigoroustreatment of uncertaintyrequiressophisticated - chinery, and the present volume is conceived as a contribution to a better und- standing of the foundations of information processing and decision-making in an environment of uncertainty, imprecision and partiality of truth. This volume draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Malaga, ́ Spain, or- nized by the University of Mal ́ aga. The conference brought together some of the world’s leading experts in the study of uncertainty.

Author : GERARDO IOVANE,PATRIZIA DI GIRONIMO,MARTA CHINNICI,ANTONIO RAPUANO
Publisher : Infinite Study
Page : 15 pages
File Size : 45,6 Mb
Release : 2024-06-28
Category : Mathematics
ISBN : 8210379456XXX

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Decision and Reasoning in Incompleteness or Uncertainty conditions by GERARDO IOVANE,PATRIZIA DI GIRONIMO,MARTA CHINNICI,ANTONIO RAPUANO Pdf

In this study we will build an uncertainty logic by using the concept of probability, with those of plausibility, credibility and possibility. We will provide several models which treats uncertainty information and allow to perform more reliable forecasts. After that, we will prove the models reliability through a final simulation on the Biometrics and Sport fields using one of the models; these simulation are fully replicabile for each field and for each of the provided models.

Author : Torben Pedersen,Christian Geisler Asmussen,Timothy Devinney,Laszlo Tihanyi
Publisher : Emerald Group Publishing
Page : 486 pages
File Size : 47,5 Mb
Release : 2011-06-09
Category : Business & Economics
ISBN : 9780857249913

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Dynamics of Globalization by Torben Pedersen,Christian Geisler Asmussen,Timothy Devinney,Laszlo Tihanyi Pdf

Cross-border flows of goods, services, capital, knowledge, and ideas have substantially increased. This book focuses on how the interface between firm-specific advantages, liability of foreignness, and location-specific advantages are spelled out in the more global world.

Author : Hester Bijl,Didier Lucor,Siddhartha Mishra,Christoph Schwab
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 47,7 Mb
Release : 2013-09-20
Category : Mathematics
ISBN : 9783319008851

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Uncertainty Quantification in Computational Fluid Dynamics by Hester Bijl,Didier Lucor,Siddhartha Mishra,Christoph Schwab Pdf

Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.

Author : Khaled Mellouli
Publisher : Springer Science & Business Media
Page : 926 pages
File Size : 43,9 Mb
Release : 2007-09-21
Category : Computers
ISBN : 9783540752554

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty by Khaled Mellouli Pdf

This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007, held in Hammammet, Tunisia, Oktober 31 - November 2, 2007. The 78 revised full papers presented together with 3 invited papers were carefully reviewed and selected from over hundret submissions for inclusion in the book. The papers are organized in topical sections on Bayesian networks, graphical models, learning causal networks, planning, causality and independence, preference modelling and decision, argumentation systems, inconsistency handling, belief revision and merging, belief functions, fuzzy models, many-valued logical systems, uncertainty logics, probabilistic reasoning, reasoning models under uncertainty, uncertainty measures, probabilistic classifiers, classification and clustering, and industrial applications.

Author : Ran Chen
Publisher : Springer
Page : 767 pages
File Size : 49,7 Mb
Release : 2010-12-17
Category : Computers
ISBN : 9783642181290

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Intelligent Computing and Information Science by Ran Chen Pdf

This two-volume set (CCIS 134 and CCIS 135) constitutes the refereed proceedings of the International Conference on Intelligent Computing and Information Science, ICICIS2011, held in Chongqing, China, in January 2011. The 226 revised full papers presented in both volumes, CCIS 134 and CCIS 135, were carefully reviewed and selected from over 600 initial submissions. The papers provide the reader with a broad overview of the latest advances in the field of intelligent computing and information science.

Author : Eyke Hüllermeier,Sebastian Link,Thomas Fober,Bernhard Seeger
Publisher : Springer
Page : 662 pages
File Size : 55,9 Mb
Release : 2012-09-11
Category : Computers
ISBN : 9783642333620

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Scalable Uncertainty Management by Eyke Hüllermeier,Sebastian Link,Thomas Fober,Bernhard Seeger Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Author : Andreas Klinke
Publisher : Taylor & Francis
Page : 283 pages
File Size : 46,6 Mb
Release : 2024-08-02
Category : Business & Economics
ISBN : 9781040102732

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A Theory of Uncertainty by Andreas Klinke Pdf

Using sources from classical to modern that broach the phenomenon of uncertainty and its relation to risk, this book creates a novel approach to the recognized but theoretically often unattended issue of uncertainty. Andreas Klinke develops a new, general theory of uncertainty that provides a taxonomy of categories which are deduced from a critical inventory in philosophy, social and natural sciences, and risk research. Comprising six parts, the philosophical grounding of uncertainty sets the stage for the following philosophical and social scientific accounts and explanation of four distinctive guises of uncertainty that form a taxonomic notion and rationale: ontological, epistemological, linguistic-communicative, and teleological uncertainty. The theoretical-conceptual rumination provides a complex, differentiated view of the anatomy of uncertainty and an understanding that can be used in further theoretical and empirical research, as well as socio-political practice. The latter is delineated in the final part addressing the societal domestication of uncertainty. This book will be of great interest to scholars and students in philosophy, social and natural sciences, risk research, as well as inter- and transdisciplinary science fields.

Author : Anonim
Publisher : Unknown
Page : 520 pages
File Size : 54,9 Mb
Release : 1996
Category : Military research
ISBN : UOM:39015081877949

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Technical Report by Anonim Pdf

Author : Vadim Malvone,Aniello Murano
Publisher : Springer Nature
Page : 571 pages
File Size : 54,9 Mb
Release : 2023-09-06
Category : Computers
ISBN : 9783031432644

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Multi-Agent Systems by Vadim Malvone,Aniello Murano Pdf

This volume LNCS 14282 constitutes the refereed proceedings of the 20th European Conference EUMAS 2023, held in Naples, Italy, during September 2023. This volume includes 24 full papers and 5 short papers, carefully selected from 47 submissions. Additionally, the volume features 16 short papers, rigorously reviewed from 20 submissions for the PhD day. The conference focused on the theory and practice of autonomous agents and multi-agent systems, covering a wide range of topics.

Author : Joseph Y. Halpern
Publisher : MIT Press
Page : 505 pages
File Size : 50,6 Mb
Release : 2017-04-07
Category : Computers
ISBN : 9780262533805

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Reasoning about Uncertainty, second edition by Joseph Y. Halpern Pdf

Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, complexity-theoretic considerations, and other topics. In order to deal with uncertainty intelligently, we need to be able to represent it and reason about it. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty. Halpern surveys possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures; considers the updating of beliefs based on changing information and the relation to Bayes' theorem; and discusses qualitative, quantitative, and plausibilistic Bayesian networks. This second edition has been updated to reflect Halpern's recent research. New material includes a consideration of weighted probability measures and how they can be used in decision making; analyses of the Doomsday argument and the Sleeping Beauty problem; modeling games with imperfect recall using the runs-and-systems approach; a discussion of complexity-theoretic considerations; the application of first-order conditional logic to security. Reasoning about Uncertainty is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics.

Author : Didier J. Dubois,Michael P. Wellman,Bruce D'Ambrosio
Publisher : Morgan Kaufmann
Page : 379 pages
File Size : 41,9 Mb
Release : 2014-05-12
Category : Computers
ISBN : 9781483282879

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Uncertainty in Artificial Intelligence by Didier J. Dubois,Michael P. Wellman,Bruce D'Ambrosio Pdf

Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.