Value Maps, Drives, and Emotions

Abstract

This chapter discusses value maps, drives, and emotions through the modeling of decision making, judgment, and choice. Ever the since the seminal work of Amos Tversky and Nobel Laureate Daniel Kahneman (Tversky and Kahneman 1974, 1981), it has been known that decision models based on rational maximization of expected utility do not capture the typical choices that people or nonhuman animals make in risky situations, even when extensive numerical or probabilistic information is available. Moreover, many of those choices tend to be strongly influenced by emotions and values in ways that are predictable, repeatable, and therefore amenable to theory development.