Behavioral Decision Theory: Psychological and Mathematical Descriptions of Human Choice Behavior

This book is the second edition of Behavioral Decision Theory, published in 2014. The main approach and structure of this book have been retained in the new edition. However, this second edition provides a fresh overview of the idea of behavioral decision theory and related research findings such as theoretical and empirical discoveries of preference formation, time discounting, social interaction, and social decision making. The book covers a wide range from classical to relatively recent major studies concerning behavioral decision theory, which, in brief, is a general term for descriptive theories to explain the psychological knowledge related to people’s decision-making behavior. It is called a theory but is actually a combination of various psychological theories, for which no axiomatic systems-such as those associated with the utility theory widely used in economics-have been established.
The utility theory is often limited to qualitative knowledge; however, as the studies of Nobel laureates H. A. Simon, D. Kahneman, and R. Thaler have suggested, the psychological methodology and knowledge of behavioral decision theory have been applied widely in such fields as economics, business administration, and engineering and are expected to become even more useful in the future. Research into people’s decision making represents an important part in those fields, various aspects of which overlap with the scope of behavioral decision theory. This theory is closely related to behavioral economics and behavioral finance, which have come into greater use in recent years. This book will appeal especially to graduate students, advanced undergraduate students, and researchers who are interested in decision-making phenomena.

Kazuhisa Takemura is a Japanese psychologist and educator. Besides serving as a professor at the Department of Psychology, Waseda University, he is also the director of the University’s Center for Decision Research, a professor at the Waseda MBA School, and a research fellow at the Waseda Research Institute for Science and Engineering. He received his B.A. and M.A. degrees from the Department of Psychology, Doshisha University, in 1983 and 1985, and received his Ph.D. (System Science) from Tokyo Institute of Technology in 1994, and an additional Ph.D. (Medical Science) from Kitasato University in 2013. He has also worked abroad as a visiting researcher at James Cook University, La Trobe University, and Australian National University (Australia); the Tinbergen Institute (the Netherlands); Gothenburg University and Stockholm University (Sweden); the University of Konstanz (Germany); and National Cheng Kung University (Taiwan). He was also Fulbright Senior Researcher at the Department of Social and Decision Science, Carnegie Mellon University (USA) from 1999 to 2000, and a visiting professor at the Department of Psychology, St. Petersburg State University (Russia) in 2008, at Venice International University (Italy) in 2015. His main research area is human judgment and decision-making, especially the mathematical modeling of preferential judgment and choice. He received a Hayashi Award (Distinguished Scholar) from the Behavior metric Society (in 2002), an Excellent Paper Award from Japan Society of Kansei Engineering in 2003, Book Awards from the Japanese Society of Social Psychology (in 2010) and the Behaviormetric Society (in 2016), a Fellow Award from the International Association of Applied Psychology (in 2018), and Kimura Award, Transdisciplinary Federation of Science and Technology (in 2021). In the course of his career, he has taught extensively on behavioral decision theory at many universities (Waseda University, Tokyo University, Osaka University, University of Tsukuba, Kobe University, Nagoya University, Tokyo Institute of Technology, Gakushuin University, Rikkyo University, Tokyo International University, Kitasato University, Venice International University, St. Petersburg State University, and National Cheng Kung University).