Literature DB >> 34750080

Magnitude-sensitivity: rethinking decision-making.

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.
Copyright © 2021 Elsevier Ltd. All rights reserved.

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


  2 in total

1.  On multiple sources of value sensitivity.

Authors:  Angelo Pirrone; Konstantinos Tsetsos
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-15       Impact factor: 12.779

2.  Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making.

Authors:  James A R Marshall; Andreagiovanni Reina; Célia Hay; Audrey Dussutour; Angelo Pirrone
Journal:  PLoS Comput Biol       Date:  2022-10-03       Impact factor: 4.779

  2 in total

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