The aim of the book is to present side-by-side representative and cutting-edge samples of work in mathematical psychology and the analytic philosophy with prominent use of mathematical formalisms.

At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together `state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.

A significant topic in American society, sports ethics has also been the subject of an increasing number of scholarly studies during the past two decades. Moreover, a growing number of courses on sports are being offered at colleges and universities. In Sports Ethics in America, Donald G. Jones provides a valuable reference tool for teaching and research in a variety of sports-related disciplines. The book is a comprehensive, multidisciplinary bibliography with some 2,800 entries. Entries include both scholarly works and works written by journalists during the two decades from 1970 to 1990. The volume is divided into five major sections (1) General Works and Philosophy, (2) The Team, Players, and Coaches, (3) The Game, Competition, and Contestants, (4) Sport and Society, and (5) Reference Works. Each entry includes a brief listing of the subjects covered in the work. The volume also includes a full subject index and an author index.

This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results. The above-mentioned conference was held virtually, October 8 – 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater appreciation for the broad scope of CSS.

Providing an in-depth, novel analysis of education’s role in today’s economy by scrutinizing its theoretical underpinnings, this volume critiques the suitability of the current, dominant economic framework for education and for shaping educational policymaking worldwide. Critically examining the history and philosophy that underpin our present societal understanding of the link between economics and education, the book argues for an urgent redefining of education’s role in the economy based on intellectual foundations that significantly differ from our current, dominant conceptions. Across seven chapters, the book posits that the adoption of a new philosophical framework, the reshaping of economic and educational aims, and the adjustment of our educational system are each necessary to better promote human flourishing. Ultimately providing a platform to entirely reconsider the idea that the primary aim of education is to serve the economic system – in particular, economic growth – this book will appeal to scholars, researchers, and postgraduate students studying educational policy, the philosophy of education, and the history of education more broadly. Education policymakers and academics studying education and the economy may also find this book of interest.

Inside Man presents readers with an exercise in modeling human ways of being—thinking, feeling, acting. This book does not merely introduce models, but also attempts to teach modeling and to produce, within the reader, the predispositions and attitudes of the modeler: a distance from the individual whose behavior is modeled, an engineering approach to the model-building process, a (self)-critical approach to the model testing and elaboration process, and a pedagogical and a therapeutic approach to enacting and communicating models. Author Mihnea C. Moldoveanu makes the process and the phenomenon of modeling transparent and explicit, and clarifies the reasons for which modeling human behavior has to be an interactive process between the modeler and the modeled. This perspective situates Inside Man at the intersection of analytical and computational thinking about rationality, reasoning, choice and thinking, and the tradition of action science and action research.

The influence of Thomas Kuhn (1922 -1996) on the history and philosophy of science has been truly enormous. In 1962, Kuhn's famous work, The Structure of Scientific Revolutions, helped to inaugurate a revolution - the historiographic revolution - in the latter half of the twentieth century, providing a new understanding of science in which 'paradigm shifts' (scientific revolutions) are punctuated with periods of stasis (normal science). Kuhn's revolution not only had a huge impact on the history and philosophy of science but on other disciplines as well, including sociology, education, economics, theology, and even science policy. James A. Marcum's book focuses on the following questions: What exactly was Kuhn's historiographic revolution? How did it come about? Why did it have the impact it did? What, if any, will its future impact be for both academia and society? At the heart of the answers to these questions is the person of Kuhn himself, i.e., his personality, his pedagogical style, his institutional and social commitments, and the intellectual and social context in which he practiced his trade. Drawing on the rich archival sources at MIT, and engaging fully with current scholarship on Kuhn, Marcum's is the first book to show in detail how Kuhn's influence transcended the boundaries of the history and philosophy of science community to reach many others - sociologists, economists, theologians, political scientists, educators, and even policy makers and politicians.

In the first part of the 20th century, a group of law scholars offered engaging, and occasionally disconcerting, views on the role of judges and the relationship between law and politics in the United States. These legal realists borrowed methods from the social sciences to carefully study the law as experienced by lawyers, judges, and average citizens and promoted a progressive vision for American law and society. Legal realism investigated the nature of legal reasoning, the purpose of law, and the role of judges. The movement asked questions which reshaped the study of jurisprudence and continue to drive lively debates about the law and politics in classrooms, courtrooms, and even the halls of Congress. This thorough analysis provides an introduction to the ideas, context, and leading personalities of legal realism. It helps situate an important movement in legal theory in the context of American politics and political thought and will be of great interest to students of judicial politics, American constitutional development, and political theory.

This book brings together the insights from three different areas, Information Seeking and Retrieval, Cognitive Psychology, and Behavioral Economics, and shows how this new interdisciplinary approach can advance our knowledge about users interacting with diverse search systems, especially their seemingly irrational decisions and anomalies that could not be predicted by most normative models. The first part “Foundation” of this book introduces the general notions and fundamentals of this new approach, as well as the main concepts, terminology and theories. The second part “Beyond Rational Agents” describes the systematic biases and cognitive limits confirmed by behavioral experiments of varying types and explains in detail how they contradict the assumptions and predictions of formal models in information retrieval (IR). The third part “Toward A Behavioral Economics Approach” first synthesizes the findings from existing preliminary research on bounded rationality and behavioral economics modeling in information seeking, retrieval, and recommender system communities. Then, it discusses the implications, open questions and methodological challenges of applying the behavioral economics framework to different sub-areas of IR research and practices, such as modeling users and search sessions, developing unbiased learning to rank and adaptive recommendations algorithms, implementing bias-aware intelligent task support, as well as extending the conceptualization and evaluation on IR fairness, accountability, transparency and ethics (FATE) with the knowledge regarding both human biases and algorithmic biases. This book introduces a behavioral economics framework to IR scientists seeking a new perspective on both fundamental and new emerging problems of IR as well as the development and evaluation of bias-aware intelligent information systems. It is especially intended for researchers working on IR and human-information interaction who want to learn about the potential offered by behavioral economics in their own research areas.