In Being Rational and Being Right, Juan Comesana argues for a cluster of theses related to the rationality of action and belief. His starting point is that rational action requires rational belief but tolerates false belief. From there, Comesana provides a novel account of empirical evidence according to which said evidence consists of the content of undefeated experiences. This view, which Comesana calls "Experientialism," differs from the two main views of empirical evidence on offer nowadays: Factualism, according to which our evidence is what we know, and Psychologism, according to which our experiences themselves are evidence. He reasons that Experientialism fares better than these rival views in explaining different features of rational belief and action. Comesana embeds this discussion in a Bayesian framework, and discusses in addition the problem of normative requirements, the easy knowledge problem, and how Experientialism compares to Evidentialism, Reliabilism, and Comesana's own (now superseded) Evidentialist Reliabilism.

Dieses Open-Access-Buch zur Consumer Decision Neuroscience verfolgt das Ziel, durch die Integration neurowissenschaftlicher Methoden in die Kaufer- und Konsumentenverhaltensforschung die Identifikation verhaltensrelevanter, neurophysiologischer Variablen zu ermoeglichen, um darauf aufbauend eine Theorieerweiterung zu schaffen. In ausgewahlten Beitragen werden Kaufer- und Konsumentenentscheidungsprozesse anhand verschiedener methodischer, neurowissenschaftlich fundierter Herangehensweisen empirisch untersucht, um die Entscheidungsprozesse umfassend beschreiben, effektiver unterstutzen und erfolgreich vorhersagen zu koennen.

Teachers stand at the intersection of educational goals, directing students down the road to success or to the byways of diminished opportunities. They are the most important school variable effecting student achievement. Consequently, placing and retaining only qualified and effective teachers in our nation's classrooms is a critical responsibility of school leaders. Effective supervision and evaluation requires that the school leader possess the knowledge of effective instruction, exhibit skills in documentation of professional conduct, and embrace a professional approach with the will to place and keep students at the center of school policy and practice decisions. Supervising and evaluating teachers is a difficult, but essential work. Research shows that time and expertise are necessary to effectively supervise and to build a case for adverse employment decisions, when necessary. Threading the Evaluation Needle: The Documentation of Teacher Unprofessional Conduct addresses the legal and professional knowledge that structures discipline and dismissal in the public schools. The authors, based on their educational, legal, and research experience, provide templates for various types of documentation necessary to effectively build a case for discipline. This book seeks to give principals the tools and knowledge to institute in good faith a fair and accurate documentation system.

The greatest challenge we face in dealing with the complexity of our world? To think again and to think better. In a world that challenges us with ever more complicated problems, the quality of our thinking is a critical game-changer. As individuals, organisations, societies, and cultures, we need to cultivate thinking that is both insightful and farsighted. We must learn how to mobilise and apply intelligence that goes beyond the ordinary - one that continuously exceeds its own limits. The Postgraduate School of Thinking, at the Vrije Universiteit in Brussels (VUB), is an experimental program with the mission of challenging us all to achieve just that. Deploying an innovative combination of mobilisation methods, the program sets out to define the cognitive strategies, practices, and habits that are the marks of exceptional thinkers. This book features a variety of interdisciplinary research articles and discussions that invite us to explore our capacity for extraordinary thinking.

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. In Advances in Info-Metrics, Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah bring together a group of thirty experts to expand the study of info-metrics across the sciences and demonstrate how to solve problems using this interdisciplinary framework. Building on the theoretical underpinnings of info-metrics, the volume sheds new light on statistical inference, information, and general problem solving. The book explores the basis of information-theoretic inference and its mathematical and philosophical foundations. It emphasizes the interrelationship between information and inference and includes explanations of model building, theory creation, estimation, prediction, and decision making. Each of the nineteen chapters provides the necessary tools for using the info-metrics framework to solve a problem. The collection covers recent developments in the field, as well as many new cross-disciplinary case studies and examples. Designed to be accessible for researchers, graduate students, and practitioners across disciplines, this book provides a clear, hands-on experience for readers interested in solving problems when presented with incomplete and imperfect information.

This book constitutes the refereed proceedings of the 21st International Conference on Group Decision and Negotiation, GDN 2021, which was planned to be held in Toronto, ON, Canada, during June 6-10, 2021. The conference was held virtually due to the COVID-19 pandemic.The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. The 12 full papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: pandemic responses; preference modeling for group decision and negotiation; conflict resolution; and collaborative decision making processes.

"Pullman offers his readers essential insights into how humans reason and make decisions. Both concise and far-reaching, his work teaches us how to challenge intuitive logic and examine the processes for deliberative reasoning. This text will prove foundational for students in their intellectual journey toward the development of real skills in critical thinking. By pointing to simple yet profound examples, Pullman's text is both readable and provocative as it challenges us to consider the very mechanisms by which we understand our own cognitive biases." --Bradley A. Hammer, Department of English and Comparative Literature, University of North Carolina, Chapel Hill

Eminently suited to classroom use as well as individual study, Roger Myerson's introductory text provides a clear and thorough examination of the models, solution concepts, results, and methodological principles of noncooperative and cooperative game theory. Myerson introduces, clarifies, and synthesizes the extraordinary advances made in the subject over the past fifteen years, presents an overview of decision theory, and comprehensively reviews the development of the fundamental models: games in extensive form and strategic form, and Bayesian games with incomplete information.

"Game Theory" will be useful for students at the graduate level in economics, political science, operations research, and applied mathematics. Everyone who uses game theory in research will find this book essential.

In mainstream economics, and particularly in New Keynesian macroeconomics, the booms and busts that characterize capitalism arise because of large external shocks. The combination of these shocks and the slow adjustments of wages and prices by rational agents leads to cyclical movements. In this book, Paul De Grauwe argues for a different macroeconomics model--one that works with an internal explanation of the business cycle and factors in agents' limited cognitive abilities. By creating a behavioral model that is not dependent on the prevailing concept of rationality, De Grauwe is better able to explain the fluctuations of economic activity that are an endemic feature of market economies. This new approach illustrates a richer macroeconomic dynamic that provides for a better understanding of fluctuations in output and inflation.

De Grauwe shows that the behavioral model is driven by self-fulfilling waves of optimism and pessimism, or animal spirits. Booms and busts in economic activity are therefore natural outcomes of a behavioral model. The author uses this to analyze central issues in monetary policies, such as output stabilization, before extending his investigation into asset markets and more sophisticated forecasting rules. He also examines how well the theoretical predictions of the behavioral model perform when confronted with empirical data. Develops a behavioral macroeconomic model that assumes agents have limited cognitive abilities Shows how booms and busts are characteristic of market economies Explores the larger role of the central bank in the behavioral model Examines the destabilizing aspects of asset markets

This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors' latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.

This book is about improving human decision making and performance in complex, dynamic tasks. The defining characteristics of a dynamic decision task are that there are a number of decisions required, that decisions are interdependent and that the environment in which the decision is made is transient and feedback is pervasive. Examples of dynamic tasks include the sustainable management of renewable resources and how businesses might allocate resources for research and development (R&D) projects. Decision making in dynamic tasks can be improved through training with system dynamics-based interactive learning environments (ILE's) that include systematic debriefing. Some key features of the book include its didactic approach, numerous tables, figures, and the multidimensional evaluative model. Researchers can use the developed "evaluation model" to gauge various decision-aiding technologies. How to Improve Human Performance in Dynamic Tasks appeals to those interested in the design and evaluation of simulation-based decision support systems, as well as policy makers, students, researchers, and industrialists concerned by the issue of improving human performance in organizational tasks.

Eine Ausbildung zum Beruf ist meist die Grundvoraussetzung fur eine erfolgreiche Berufsbiografie. Fur Jugendliche werden jedoch auch oft Ausbildungsangebote geschaffen, die sich zwar an Berufskriterien orientieren, jedoch nicht immer zu gesellschaftlich anerkannten Berufsabschlussen fuhren. Unter anderem werden zeitlich verkurzte Formen der Berufsausbildung entwickelt, um bestimmten Zielgruppen den Berufseinstieg zu erleichtern oder Beschaftigungsfelder mit geringeren Qualifikationsanforderungen zu erschliessen. Der Band stellt empirische Untersuchungen und theoretische Diskussionen aus Deutschland, OEsterreich und der Schweiz zu verkurzten Berufsausbildungen vor, um Wirkungen und Effekte der Konzeptionen zu erschliessen und zu bewerten. Die Buchbeitrage gehen insbesondere der Frage nach, welche Formen der Berufsausbildung als Ausbildung zum Beruf angesehen werden koennen.

Over the last 25 years, evolutionary game theory has grown with theoretical contributions from the disciplines of mathematics, economics, computer science and biology. It is now ripe for applications. In this book, Daniel Friedman--an economist trained in mathematics--and Barry Sinervo--a biologist trained in mathematics--offer the first unified account of evolutionary game theory aimed at applied researchers. They show how to use a single set of tools to build useful models for three different worlds: the natural world studied by biologists; the social world studied by anthropologists, economists, political scientists and others; and the virtual world built by computer scientists and engineers. The first six chapters offer an accessible introduction to core concepts of evolutionary game theory. These include fitness, replicator dynamics, sexual dynamics, memes and genes, single and multiple population games, Nash equilibrium and evolutionarily stable states, noisy best response and other adaptive processes, the Price equation, and cellular automata. The material connects evolutionary game theory with classic population genetic models, and also with classical game theory. Notably, these chapters also show how to estimate payoff and choice parameters from the data. The last eight chapters present exemplary game theory applications. These include a new coevolutionary predator-prey learning model extending rock-paper-scissors; models that use human subject laboratory data to estimate learning dynamics; new approaches to plastic strategies and life cycle strategies, including estimates for male elephant seals; a comparison of machine learning techniques for preserving diversity to those seen in the natural world; analyses of congestion in traffic networks (either internet or highways) and the "price of anarchy "; environmental and trade policy analysis based on evolutionary games; the evolution of cooperation; and speciation. As an aid for instruction, a web site provides downloadable computational tools written in the R programming language, Matlab, Mathematica and Excel.