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Beyond discrete-choice options
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DOI：10.1016/j.tics.2024.07.004.png)
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Abstract
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.
Keywords:
OPTIMAL DECISION-MAKING
DIFFUSION-MODEL
SUPERIOR COLLICULUS
TIME
DISCRIMINATION
FRAMEWORK
ADHD
REPRESENTATIONS
APPROXIMATION
NEUROBIOLOGY
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