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Author: Marilyn MacCrimmon
Publisher: Physica
ISBN: 3790817929
Category : Law
Languages : en
Pages : 491
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Book Description
Fact finding in judicial proceedings is a dynamic process. This collection of papers considers whether computational methods or other formal logical methods developed in disciplines such as artificial intelligence, decision theory, and probability theory can facilitate the study and management of dynamic evidentiary and inferential processes in litigation. The papers gathered here have several epicenters, including (i) the dynamics of judicial proof, (ii) the relationship between artificial intelligence or formal analysis and "common sense," (iii) the logic of factual inference, including (a) the relationship between causality and inference and (b) the relationship between language and factual inference, (iv) the logic of discovery, including the role of abduction and serendipity in the process of investigation and proof of factual matters, and (v) the relationship between decision and inference.
Author: Marilyn MacCrimmon
Publisher: Physica
ISBN: 3790817929
Category : Law
Languages : en
Pages : 491
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Book Description
Fact finding in judicial proceedings is a dynamic process. This collection of papers considers whether computational methods or other formal logical methods developed in disciplines such as artificial intelligence, decision theory, and probability theory can facilitate the study and management of dynamic evidentiary and inferential processes in litigation. The papers gathered here have several epicenters, including (i) the dynamics of judicial proof, (ii) the relationship between artificial intelligence or formal analysis and "common sense," (iii) the logic of factual inference, including (a) the relationship between causality and inference and (b) the relationship between language and factual inference, (iv) the logic of discovery, including the role of abduction and serendipity in the process of investigation and proof of factual matters, and (v) the relationship between decision and inference.
Author: Alexandru Baltag
Publisher: Springer
ISBN: 3319060252
Category : Philosophy
Languages : en
Pages : 1072
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Book Description
This book illustrates the program of Logical-Informational Dynamics. Rational agents exploit the information available in the world in delicate ways, adopt a wide range of epistemic attitudes, and in that process, constantly change the world itself. Logical-Informational Dynamics is about logical systems putting such activities at center stage, focusing on the events by which we acquire information and change attitudes. Its contributions show many current logics of information and change at work, often in multi-agent settings where social behavior is essential, and often stressing Johan van Benthem's pioneering work in establishing this program. However, this is not a Festschrift, but a rich tapestry for a field with a wealth of strands of its own. The reader will see the state of the art in such topics as information update, belief change, preference, learning over time, and strategic interaction in games. Moreover, no tight boundary has been enforced, and some chapters add more general mathematical or philosophical foundations or links to current trends in computer science. The theme of this book lies at the interface of many disciplines. Logic is the main methodology, but the various chapters cross easily between mathematics, computer science, philosophy, linguistics, cognitive and social sciences, while also ranging from pure theory to empirical work. Accordingly, the authors of this book represent a wide variety of original thinkers from different research communities. And their interconnected themes challenge at the same time how we think of logic, philosophy and computation. Thus, very much in line with van Benthem's work over many decades, the volume shows how all these disciplines form a natural unity in the perspective of dynamic logicians (broadly conceived) exploring their new themes today. And at the same time, in doing so, it offers a broader conception of logic with a certain grandeur, moving its horizons beyond the traditional study of consequence relations.
Author: Andrea Castagnola
Publisher: Routledge
ISBN: 1315520591
Category : Political Science
Languages : en
Pages : 208
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Book Description
After more than seventy years of uninterrupted authoritarian government headed by the Partido Revolucionario Institucional (PRI), Mexico formally began the transition to democracy in 2000. Unlike most other new democracies in Latin America, no special Constitutional Court was set up, nor was there any designated bench of the Supreme Court for constitutional adjudication. Instead, the judiciary saw its powers expand incrementally. Under this new context inevitable questions emerged: How have the justices interpreted the constitution? What is the relation of the court with the other political institutions? How much autonomy do justices display in their decisions? Has the court considered the necessary adjustments to face the challenges of democracy? It has become essential in studying the new role of the Supreme Court to obtain a more accurate and detailed diagnosis of the performances of its justices in this new political environment. Through critical review of relevant debates and using original data sets to empirically analyze the way justices voted on the three main means of constitutional control from 2000 through 2011, leading legal scholars provide a thoughtful and much needed new interpretation of the role the judiciary plays in a country’s transition to democracy This book is designed for graduate courses in law and courts, judicial politics, comparative judicial politics, Latin American institutions, and transitions to democracy. This book will equip scholars and students with the knowledge required to understand the importance of the independence of the judiciary in the transition to democracy.
Author: Marilyn Maccrimmon
Publisher:
ISBN: 9783662003220
Category :
Languages : en
Pages : 516
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Book Description
Author: Les M. Sztandera
Publisher: Physica
ISBN: 3790817503
Category : Computers
Languages : en
Pages : 183
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Book Description
Textiles and computing have long been associated. High volume and low profit margins of textile products have driven the industry to invest in high technology, particularly in the area of data interpretation and analysis. Thus, it is virtually inevitable that soft computing has found a home in the textile industry. Contained in this volume are six chapters discussing various aspects of soft computing in the field of textiles and apparel.
Author: James J. Buckley
Publisher: Physica
ISBN: 3642867863
Category : Computers
Languages : en
Pages : 168
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Book Description
In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because probabilities must add to one. Fuzzy random variables have fuzzy distributions. A fuzzy normal random variable has the normal distribution with fuzzy number mean and variance. Applications are to queuing theory, Markov chains, inventory control, decision theory and reliability theory.
Author: Anne Wagner
Publisher: Edward Elgar Publishing
ISBN: 1802207260
Category : Law
Languages : en
Pages : 517
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Book Description
This comprehensive Research Handbook explores the wide variety of work conducted in legal semiotics to provide a broad understanding of how the law works through signs and symbols. Demonstrating that law is a strategical system of fluctuating signs, contributors critically analyse the ever-evolving conceptualisations of law and legal discourse.
Author: Tsau Young Lin
Publisher: Physica
ISBN: 3790817910
Category : Computers
Languages : en
Pages : 538
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Book Description
During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.
Author: Melvin Fitting
Publisher: Physica
ISBN: 3790817694
Category : Mathematics
Languages : en
Pages : 374
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Book Description
This volume represents the state of the art for much current research in many-valued logics. Primary researchers in the field are among the authors. Major methodological issues of many-valued logics are treated, as well as applications of many-valued logics to reasoning with fuzzy information. Areas covered include: Algebras of multiple valued logics and their applications, proof theory and automated deduction in multiple valued logics, fuzzy logics and their applications, and multiple valued logics for control theory and rational belief.
Author: Yaochu Jin
Publisher: Physica
ISBN: 3790817716
Category : Computers
Languages : en
Pages : 276
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Book Description
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.
