| Literature DB >> 34750080 |
Angelo Pirrone1, Andreagiovanni Reina2, Tom Stafford3, James A R Marshall4, Fernand Gobet5.
Abstract
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.Entities:
Keywords: computational models; decision-making; ecological decision-making; magnitude-sensitivity; optimality
Mesh:
Year: 2021 PMID: 34750080 DOI: 10.1016/j.tics.2021.10.006
Source DB: PubMed Journal: Trends Cogn Sci ISSN: 1364-6613 Impact factor: 20.229