par Pirrone, Angelo;Reina, Andreagiovanni ;Stafford, Tom;Marshall, James A. R.;Gobet, Fernand
Référence Trends in cognitive sciences
Publication Publié, 2021-01-01
Référence Trends in cognitive sciences
Publication Publié, 2021-01-01
Article révisé par les pairs
Résumé : | Magnitude-sensitivity refers to the result that performance in decision-making, across domains and organisms, is affected by the total value of the possible alternatives. This simple result offers a window into fundamental issues in decision-making and has led to a reconsideration of ecological decision-making, prominent computational models of decision-making, and optimal decision-making. Moreover, magnitude-sensitivity has inspired the design of new robotic systems that exploit natural solutions and apply optimal decision-making policies. In this article, we review the key theoretical and empirical results about magnitude-sensitivity and highlight the importance that this phenomenon has for the understanding of decision-making. Furthermore, we discuss open questions and ideas for future research. |