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Post published on Twitter/X on 27 Nov 2022 08:13

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Benedetto De Martino, Aurelio Cortese (2023). Goals, usefulness and abstraction in value-based choice. Trends in Cognitive Sciences, 27(1), 65-80. Elsevier BV.

Publication date
January 2023
Identifier
10.1016/j.tics.2022.11.001
Authors
Benedetto De Martino, Aurelio Cortese
Source
Trends in Cognitive Sciences
Details
27(1), 65-80
Reference type
article
Publisher
Elsevier BV
Metadata source
crossref

Abstract

Colombian drug lord Pablo Escobar, while on the run, purportedly burned two million dollars in banknotes to keep his daughter warm. A stark reminder that, in life, circumstances and goals can quickly change, forcing us to reassess and modify our values on-the-fly. Studies in decision-making and neuroeconomics have often implicitly equated value to reward, emphasising the hedonic and automatic aspect of the value computation, while overlooking its functional (concept-like) nature. Here we outline the computational and biological principles that enable the brain to compute the usefulness of an option or action by creating abstractions that flexibly adapt to changing goals. We present different algorithmic architectures, comparing ideas from artificial intelligence (AI) and cognitive neuroscience with psychological theories and, when possible, drawing parallels.

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