Abstract
People make millions of decisions everyday. Just now—you, the reader, decided to start reading this book (and we are grateful for that). People’s ability to predict each other’s decisions in a fast and accurate way constitutes an imperative factor in what we consider to be intelligent behavior. This ability is part of what enables us, as a species, to effectively interact with, cooperate, and influence one another on a daily basis. While the canonical question of how people actually make decisions is of great interest to mankind, in the scope of this book we seek to address two more modest questions.
“Trying to understand the behavior of some people is like trying to smell the color 9”
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Rosenfeld, A., Kraus, S. (2018). Introduction. In: Predicting Human Decision-Making. Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-031-01578-6_1
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DOI: https://doi.org/10.1007/978-3-031-01578-6_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-00450-6
Online ISBN: 978-3-031-01578-6
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