Is it important to our quality of life that the preferences we satisfy are rational and well-informed? Standard preferentialist theories allege that a person's preferences and their satisfaction are the correct measure of well-being. In preference-sensitive theories, preferences are important but do not count for everything. This raises the question of whether we ought to make demands on these preferences. In this book Egonsson presents a critical analysis of the 'Full Information Account of the Good', which claims that only the satisfaction of rational and fully informed preferences has value for a person. The problems he deals with include: how is an information requirement to be formulated and shaped? Is it possible to design a requirement that is both neutral to the agent's epistemic situation and reasonable? Is the requirement reasonable? Does it make sense to claim that some are better off if we satisfy the preferences they would have had in some merely hypothetical circumstances? This is an important new book on preference rationality which will be of great interest to academics and students of ethics, quality of life, and rationality.

One of the most pressing questions in neuroscience, psychology and economics today is how does the brain generate preferences and make choices? With a unique interdisciplinary approach, this volume is among the first to explore the cognitive and neural mechanisms mediating the generation of the preferences that guide choice. From preferences determining mundane purchases, to social preferences influencing mating choice, through to moral decisions, the authors adopt diverse approaches to answer the question. Chapters explore the instability of preferences and the common neural processes that occur across preferences. Edited by one of the world's most renowned cognitive neuroscientists, each chapter is authored by an expert in the field, with a host of international contributors. Emphasis on common process underlying preference generation makes material applicable to a variety of disciplines - neuroscience, psychology, economics, law, philosophy, etc. Offers specific focus on how preferences are generated to guide decision making, carefully examining one aspect of the broad field of neuroeconomics and complementing existing volumes Features outstanding, international scholarship, with chapters written by an expert in the topic area

This book provides an introduction to incorporating preference information in Data Envelopment Analysis (DEA) with a special emphasis in Value Efficiency Analysis. In addition to theoretical considerations, numerous illustrative examples are included. Hence, the book can be used as a teaching text as well. Only a modest mathematical background is needed to understand the main principles. The only prerequisites are a) familiarity with linear algebra, especially matrix calculus; b) knowledge of the simplex method; and c) familiarity with the use of computer software. The book is organized as follows. Chapter 1 provides motivation and introduces the basic concepts. Chapter 2 provides the basic ideas and models of Data Envelopment Analysis. The efficient frontier and production possibility set concepts play an important role in all considerations. That's why these concepts are considered more closely in Chapter 3. Since the approaches introduced in this study are inspired by Multiple Objective Linear Programming, the basic concepts of this field are reviewed in Chapter 4. Chapter 5 also compares and contrasts Data Envelopment Analysis and Multiple Objective Linear Programming, providing some cornerstones for approaches presented later in the book. Chapter 6 discusses the traditional approaches to take into account preference information in DEA. In Chapter 7, Value Efficiency is introduced, and Chapter 8 discusses practical aspects. Some extensions are presented in Chapter 9, and in Chapter 10 Value Efficiency is extended to cover the case when a production possibility set is not convex. Three implemented applications are reviewed in Chapter 11.

Our preferences determine how we act and think, but exactly what the mechanics are and how they work is a central cause of concern in many disciplines. This book uses techniques from modern logics of information flow and action to develop a unified new theory of what preference is and how it changes. The theory emphasizes reasons for preference, as well as its entanglement with our beliefs. Moreover, the book provides dynamic logical systems which describe the explicit triggers driving preference change, including new information, suggestions, and commands. In sum, the book creates new bridges between many fields, from philosophy and computer science to economics, linguistics, and psychology. For the experienced scholar access to a large body of recent literature is provided and the novice gets a thorough introduction to the action and techniques of dynamic logic.

An analysis of divergent online news preferences of journalists and consumers and what this means for media and democracy in the digital age. The websites of major media organizations—CNN, USA Today, the Guardian, and others—provide the public with much of the online news they consume. But although a large proportion of the top stories these sites disseminate cover politics, international relations, and economics, users of these sites show a preference (as evidenced by the most viewed stories) for news about sports, crime, entertainment, and weather. In this book, Pablo Boczkowski and Eugenia Mitchelstein examine the divergence in preferences and consider its implications for the media industry and democratic life in the digital age. Drawing on analyses of more than 50,000 stories posted on twenty news sites in seven countries in North and South America and Western Europe, Boczkowski and Mitchelstein find that the gap in news preferences exists regardless of ideological orientation or national media culture, and that it is not affected by innovations in forms of storytelling, such as blogs and user-generated content on mainstream news sites. Drawing upon these findings, they explore the news gap's troubling consequences for the matrix that connects communication, technology, and politics in the digital age.

This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of a decision making group. Structure of preferences in this study will represent each individual group members' preference towards a particular course of action. Using an experimental method of analysis, this study will examine how the preference structure of a group affects what and how much information a group member will analyze before making a decision. I hypothesize that the structure of the group members' preferences should affect the subjects' search and process of information. This study aims to answer the following questions; do group preferences affect the search and processing of information? Do group members thoroughly survey the objectives and alternatives in the decision making process?

Information modelling and knowledge bases have become hot topics, not only in academic communities concerned with information systems and computer science, but also wherever information technology is applied in the world of business. This book presents the proceedings of the 21st European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2011), held in Tallinn, Estonia, in June 2011. The EJC conferences provide a worldwide forum for researchers and practitioners in the field to exchange results and experiences achieved in computer science and related disciplines such as conceptual analysis, design and specification of information systems, multimedia information modelling, multimedia systems, software engineering, knowledge and process management, cross cultural communication and context modelling. Attention is also paid to theoretical disciplines including cognitive science, artificial intelligence, logic, linguistics and analytical philosophy. The selected papers (16 full papers, 9 short papers, 2 papers based on panel sessions and 2 on invited presentations), cover a wide range of topics, including database semantics, knowledge representation, software engineering, www information management, context-based information retrieval, ontology, image databases, temporal and spatial databases, document data management, process management, cultural modelling and many others. Covering many aspects of system modelling and optimization, this book will be of interest to all those working in the field of information modelling and knowledge bases.

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.