Qualitative and Quantitative Practical Reasoning PDF Download
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Author: Dov Gabbay
Publisher:
ISBN: 9783662206539
Category :
Languages : en
Pages : 640
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Book Description
Author: Dov Gabbay
Publisher:
ISBN: 9783662206539
Category :
Languages : en
Pages : 640
Get Book Here
Book Description
Author: Dov Gabbay
Publisher: Springer Science & Business Media
ISBN: 9783540630951
Category : Computers
Languages : en
Pages : 644
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Book Description
This book constitutes the refereed proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning, ECSQARU-FAPR'97, held in Bad Honnef, Germany, in June 1997. The volume presents 33 revised full papers carefully selected for inclusion in the book by the program committee as well as 12 invited contributions. Among the various aspects of human practical reasoning addressed in the papers are nonmonotonic logics, default reasoning, modal logics, belief function theory, Bayesian networks, fuzzy logic, possibility theory, inference algorithms, dynamic reasoning with partial models, and user modeling approaches.
Author: Dov M. Gabbay
Publisher:
ISBN:
Category :
Languages : en
Pages : 621
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Book Description
Author: John W. Creswell
Publisher: SAGE
ISBN: 1452226105
Category : Reference
Languages : en
Pages : 305
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Book Description
The bestseller that pioneered the comparison of qualitative, quantitative, and mixed methods research design continues in its Fourth Edition to help students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis.
Author: Ricardo F. Crespo
Publisher: Springer Science & Business Media
ISBN: 9400755643
Category : Business & Economics
Languages : en
Pages : 115
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Book Description
The aim of the book is to argue for the restoration of theoretical and practical reason to economics. It presents Nancy Cartwright and Amartya Sen’s ideas as cases of this restoration and sees Aristotle as an influence on their thought. It looks at how we can use these ideas to develop a valuable understanding of practical reason for solving concrete problems in science and society. Cartwright’s capacities are real causes of events. Sen’s capabilities are the human person’s freedoms or possibilities. They relate these concepts to Aristotelian concepts. This suggests that these concepts can be combined. Sen’s capabilities are Cartwright’s capacities in the human realm; capabilities are real causes of events in economic life. Institutions allow us to deliberate on and guide our decisions about capabilities, through the use of practical reason. Institutions thus embody practical reason and infuse certain predictability into economic action. The book presents a case study: the UNDP’s HDI.
Author: Shahid Rahman
Publisher: Springer Science & Business Media
ISBN: 9048124867
Category : Philosophy
Languages : en
Pages : 617
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Book Description
The first volume in this new series explores, through extensive co-operation, new ways of achieving the integration of science in all its diversity. The book offers essays from important and influential philosophers in contemporary philosophy, discussing a range of topics from philosophy of science to epistemology, philosophy of logic and game theoretical approaches. It will be of interest to philosophers, computer scientists and all others interested in the scientific rationality.
Author: Weiru Liu
Publisher: Springer
ISBN: 3642221521
Category : Computers
Languages : en
Pages : 775
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Book Description
This book constitutes the refereed proceedings of the 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011, held in Belfast, UK, in June/July 2011. The 60 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on argumentation; Bayesian networks and causal networks; belief functions; belief revision and inconsistency handling; classification and clustering; default reasoning and logics for reasoning under uncertainty; foundations of reasoning and decision making under uncertainty; fuzzy sets and fuzzy logic; implementation and applications of uncertain systems; possibility theory and possibilistic logic; and uncertainty in databases.
Author: Egon Börger
Publisher: Springer
ISBN: 3540364986
Category : Computers
Languages : en
Pages : 441
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Book Description
This book constitutes the refereed proceedings of the 10th International Workshop on Abstract State Machines, ASM 2003, held in Taormina, Italy in March 2003. The 16 revised full papers presented together with 8 invited papers and 12 abstracts were carefully reviewed and selected for inclusion in the book. The papers reflect the state of the art of the abstract state machine method for the design and analysis of complex software/hardware systems. Besides theoretical results and methodological progress, application in various fields are studied as well.
Author: Gorka Navarrete
Publisher: Frontiers Media SA
ISBN: 288919745X
Category : Psychology
Languages : en
Pages : 209
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Book Description
We confess that the first part of our title is somewhat of a misnomer. Bayesian reasoning is a normative approach to probabilistic belief revision and, as such, it is in need of no improvement. Rather, it is the typical individual whose reasoning and judgments often fall short of the Bayesian ideal who is the focus of improvement. What have we learnt from over a half-century of research and theory on this topic that could explain why people are often non-Bayesian? Can Bayesian reasoning be facilitated, and if so why? These are the questions that motivate this Frontiers in Psychology Research Topic. Bayes' theorem, named after English statistician, philosopher, and Presbyterian minister, Thomas Bayes, offers a method for updating one’s prior probability of an hypothesis H on the basis of new data D such that P(H|D) = P(D|H)P(H)/P(D). The first wave of psychological research, pioneered by Ward Edwards, revealed that people were overly conservative in updating their posterior probabilities (i.e., P(D|H)). A second wave, spearheaded by Daniel Kahneman and Amos Tversky, showed that people often ignored prior probabilities or base rates, where the priors had a frequentist interpretation, and hence were not Bayesians at all. In the 1990s, a third wave of research spurred by Leda Cosmides and John Tooby and by Gerd Gigerenzer and Ulrich Hoffrage showed that people can reason more like a Bayesian if only the information provided takes the form of (non-relativized) natural frequencies. Although Kahneman and Tversky had already noted the advantages of frequency representations, it was the third wave scholars who pushed the prescriptive agenda, arguing that there are feasible and effective methods for improving belief revision. Most scholars now agree that natural frequency representations do facilitate Bayesian reasoning. However, they do not agree on why this is so. The original third wave scholars favor an evolutionary account that posits human brain adaptation to natural frequency processing. But almost as soon as this view was proposed, other scholars challenged it, arguing that such evolutionary assumptions were not needed. The dominant opposing view has been that the benefit of natural frequencies is mainly due to the fact that such representations make the nested set relations perfectly transparent. Thus, people can more easily see what information they need to focus on and how to simply combine it. This Research Topic aims to take stock of where we are at present. Are we in a proto-fourth wave? If so, does it offer a synthesis of recent theoretical disagreements? The second part of the title orients the reader to the two main subtopics: what works and why? In terms of the first subtopic, we seek contributions that advance understanding of how to improve people’s abilities to revise their beliefs and to integrate probabilistic information effectively. The second subtopic centers on explaining why methods that improve non-Bayesian reasoning work as well as they do. In addressing that issue, we welcome both critical analyses of existing theories as well as fresh perspectives. For both subtopics, we welcome the full range of manuscript types.
Author: Hannes Werthner
Publisher: Springer Science & Business Media
ISBN: 9783211825792
Category : Computers
Languages : en
Pages : 200
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Book Description
The book provides a survey about the field of Qualitative Reasoning, it contrasts and classifies its approaches and puts them into a common framework. Qualitative Reasoning represents an approach of Artificial Intelligence to model dynamic systems, about which little information is available, and to derive statements about the potential behavior of these systems, putting emphasis on a causal explanation of the behavior. Both variables and relationships between variables are described by means of qualitative terms such as small and large or positive and negative. Since this approach also takes into consideration the way how humans reason about physical systems, it can be stated that Qualitative Reasoning participates in the creation of a cognitive theory of non-numerical process descriptions which can be mapped onto a digital computer. This approach can be used for simulation, diagnosis, design, structure identification and interpretation. Areas of application are physics, medicine, the field of ecology, process control, etc. In addition to the classification of existing methods, the book presents a new approach based on fuzzy sets. And the work relates Qualitative Reasoning with such fields of Expert Systems, System Theory and Cognitive Science.
