Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Management of Knowledge Imperfection in Building Intelligent Systems
There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. To our knowledge this is among the few books to be entirely dedicated to the treatment of knowledge imperfection when bui- ing intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book - cludes undergraduate students in computer science, IT&C, mathematics, business, medicine, etc. , graduates, specialists and researchers in these fields. The subjects treated in the book include expert systems, knowledge representation, reasoning under knowledge Imperfection (Probability The...
Theory and Practice of Uncertain Programming
This book provides comprehensive coverage of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, vehicle routing problem, and machine scheduling problem.
Applying Fuzzy Mathematics to Formal Models in Comparative Politics
This book explores the intersection of fuzzy mathematics and the spatial modeling of preferences in political science. Beginning with a critique of conventional modeling approaches predicated on Cantor set theoretical assumptions, the authors outline the potential benefits of a fuzzy approach to the study of ambiguous or uncertain preference profiles. This is a good text for a graduate seminar in formal modeling. It is also suitable as an introductory text in fuzzy mathematics.
What’s the Worst That Could Happen?
Why catastrophic risks are more dangerous than you think, and how populism makes them worse. Did you know that you’re more likely to die from a catastrophe than in a car crash? The odds that a typical US resident will die from a catastrophic event—for example, nuclear war, bioterrorism, or out-of-control artificial intelligence—have been estimated at 1 in 6. That’s fifteen times more likely than a fatal car crash and thirty-one times more likely than being murdered. In What’s the Worst That Could Happen?, Andrew Leigh looks at catastrophic risks and how to mitigate them, arguing provocatively that the rise of populist politics makes catastrophe more likely. Leigh explains that perv...
International Handbook on the Economics of Corruption
ÔVolume Two of the International Handbook on the Economics of Corruption presents a comprehensive, detailed, and in-depth analysis of corruption as well as its economic and policy implications. . . It will be a valuable resource not only for experts and students of corruption studies, but also for public officials, NGO employees, and scholars of economic and political development throughout the world.Õ Ð Ararat L. Osipian, Journal of Economic Issues A companion volume to the International Handbook on the Economics of Corruption published in 2006, the specially commissioned papers in Volume Two present some of the best policy-oriented research in the field. They stress the institutional ro...
Soft Computing Applications in Industry
Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The main techniques of soft computing presented include ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models. The book includes various examples and application domains such as bioinformatics, detection of phishing attacks, and fault detection of motors.
Corruption, Accountability, and Clarity of Responsibility
The book argues that clarity of responsibility increases accountability and decreases corruption levels in democracies. The authors provide a number of empirical tests of this argument using an original cross-national time-series dataset, mass survey data, and a survey experiment.
Fuzziness and Approximate Reasoning
We do not perceive the present as it is and in totality, nor do we infer the future from the present with any high degree of dependability, nor yet do we accurately know the consequences of our own actions. In addition, there is a fourth source of error to be taken into account, for we do not execute actions in the precise form in which they are imaged and willed. Frank H. Knight [R4.34, p. 202] The “degree” of certainty of confidence felt in the conclusion after it is reached cannot be ignored, for it is of the greatest practical signi- cance. The action which follows upon an opinion depends as much upon the amount of confidence in that opinion as it does upon fav- ableness of the opinion itself. The ultimate logic, or psychology, of these deliberations is obscure, a part of the scientifically unfathomable mystery of life and mind. Frank H. Knight [R4.34, p. 226-227] With some inaccuracy, description of uncertain consequences can be classified into two categories, those which use exclusively the language of probability distributions and those which call for some other principle, either to replace or supplement.
Fuzzy Preference Ordering of Interval Numbers in Decision Problems
In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise and uncertain environment, it will be utmost unrealistic to assume that the knowledge and representation of an expert can come in a precise way. The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness are mainly generated in two ways – (1) due to imprecise perception and knowledge of the human expert followed by vague representation of knowledge as a DM; (2) due to huge-ness and complexity of relations and dat...
Breaking the Two-party Doom Loop
American democracy is in crisis, but nobody seems to know what to do about it. Breaking the Two-Party Doom Loop offers a big and bold plan. The true crisis of American democracy is that two parties are too few. Deftly weaving together history, theory and political science research, Drutman shows the only to break the binary, zero-sum toxic partisanship is to break it apart. America needs more partisanship, rather than less, but in the form of more parties. In this wide-ranging, learned, but highly accessible book, Drutman charts an exciting path forward that might just save the country.
