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. Furthermor...
Modelling plays a key role in explaining data in psychology and neuroscience and helps elucidate neu...
<div><p>We present a dynamical systems analysis of a decision-making mechanism inspired by collectiv...
A study was designed to investigate the use of the scaling technique of magnitude estimation for the...
Magnitude-sensitivity refers to the result that performance in decision-making, across domains and o...
Choices in value-based decision making are affected by the magnitude of the alternatives (i.e. the s...
Abstract Background Previous research has reported or predicted, on the basis of theoretical and com...
AbstractRecent work has derived the optimal policy for two-alternative value-based decisions, in whi...
Recent work has derived the optimal policy for two-alternative value-based decisions, in which decis...
International audienceOptimality analysis of value-based decisions in binary and multi-alternative c...
Complex natural systems from brains to bee swarms have evolved to make adaptive multifactorial deci...
We examine three determinants of the relationship between the magnitude of a stimulus and a persons ...
Value-sensitive decision-making is an essential task for organisms at all levels of biological comp...
We present a dynamical systems analysis of a decision-making mechanism inspired by collective choice...
Modelling plays a key role in explaining data in psychology and neuroscience and helps elucidate neu...
<div><p>We present a dynamical systems analysis of a decision-making mechanism inspired by collectiv...
A study was designed to investigate the use of the scaling technique of magnitude estimation for the...
Magnitude-sensitivity refers to the result that performance in decision-making, across domains and o...
Choices in value-based decision making are affected by the magnitude of the alternatives (i.e. the s...
Abstract Background Previous research has reported or predicted, on the basis of theoretical and com...
AbstractRecent work has derived the optimal policy for two-alternative value-based decisions, in whi...
Recent work has derived the optimal policy for two-alternative value-based decisions, in which decis...
International audienceOptimality analysis of value-based decisions in binary and multi-alternative c...
Complex natural systems from brains to bee swarms have evolved to make adaptive multifactorial deci...
We examine three determinants of the relationship between the magnitude of a stimulus and a persons ...
Value-sensitive decision-making is an essential task for organisms at all levels of biological comp...
We present a dynamical systems analysis of a decision-making mechanism inspired by collective choice...
Modelling plays a key role in explaining data in psychology and neuroscience and helps elucidate neu...
<div><p>We present a dynamical systems analysis of a decision-making mechanism inspired by collectiv...
A study was designed to investigate the use of the scaling technique of magnitude estimation for the...