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This chapter focuses on valuation in the context of choice under uncertainty. When valuation is a pursuit distinct from choice, values revealed through choice may be different from the valuations that emerge from the (choice-independent) computations. In many human endeavors, valuation is performed even in the absence of any immediate necessity to choose. Again, finance is a case in point, in part because financial valuation is often complex and time-consuming, while good choice opportunities are rare and short-lived. The cost of computing values provides a normative rationale for why valuation may be done in the absence of free choice. In fact, the neurobiological choice model predicts choices better than a utility-index-based model estimated from the choices themselves. This demonstrates not only that valuation is done during imperative trials, but that the resulting values are relevant for choice in free-choice trials as well. Although brain activation during imperative trials reflects valuations that are compatible with the values revealed in free-choice trials, and hence that brain activation in imperative trials can be used to predict choice in free-choice trials, the fit is not 100%. These neurobiological data suggest that there are two value signals: one revealed through activation in brain regions, not directly involved in the physical implementation of choice, and a second one revealed through activation of the neurons controlling the physical act of choice.
Grégoire Courtine, Jocelyne Bloch, Quentin Barraud, Léonie Asboth, Robin Jonathan Demesmaeker, Claudia Kathe, Matthieu Pierre Gautier, Nicholas David James, Mark Andrew Anderson, Thomas Haynes Hutson, Katia Galan, Newton Cho, Jimmy James Ravier, Laetitia Danielle Philippine Baud, Achilleas Laskaratos, Kay Alexander Bartholdi, Camille Claire Varescon, Nicolas Hankov, Inssia Dewany, Frédéric Norbert Merlos, Nadine Intering, Viviana Aureli, Nadia Bérard, Michael Hodara, Kristina Sveistyte, Anna Leonhartsberger