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Beyond discrete-choice options

delete2024-09-01
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OA
AI
A
Amir Hosein Hadian Rasanan
N
Nathan J. Evans
L
Laura Fontanesi
C
Catherine Manning
C
Cynthia Huang‐Pollock
D
Dóra Matzke
A
Andrew Heathcote
J
Jörg Rieskamp
M
Maarten Speekenbrink
M
Michael J. Frank
S
Stefano Palminteri
C
Christopher G. Lucas
J
Jerome R. Busemeyer
R
Roger Ratcliff
J
Jamal Amani Rad *
DOI:10.1016/j.tics.2024.07.004delete
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摘要

摘要

En 中文
While decision theories have evolved over the past five decades, their focus has largely been on choices among a limited number of discrete options, even though many real-world situations have a continuous-option space. Recently, theories have attempted to address decisions with continuous-option spaces, and several computational models have been proposed within the sequential sampling framework to explain how we make a decision in continuous-option space. This article aims to review the main attempts to understand decisions on continuous-option spaces, give an overview of applications of these types of decisions, and present puzzles to be addressed by future developments.
Keyword:
OPTIMAL DECISION-MAKING
DIFFUSION-MODEL
SUPERIOR COLLICULUS
TIME
DISCRIMINATION
FRAMEWORK
ADHD
REPRESENTATIONS
APPROXIMATION
NEUROBIOLOGY
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