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An entropic barriers diffusion theory of decision-making in multiple alternative tasks
Diego Fernandez Slezak1,2, Mariano Sigman3, Guillermo A Cecchi4
1Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Buenos Aires, Argentina.
Plos Computational Biology
|March 3, 2018
Summary
This study introduces a new decision-making theory incorporating entropic barriers, explaining complex choices and cognitive expertise. The model accurately predicts response times across various scenarios, from chess to online shopping.
Area of Science:
- Cognitive Science
- Computational Neuroscience
- Behavioral Economics
Background:
- Traditional decision-making models often simplify complex choices.
- Understanding response time distributions is crucial for modeling cognitive processes.
Purpose of the Study:
- To develop a novel theory of decision-making under multiple choices.
- To model response times in complex cognitive tasks and online behaviors.
Main Methods:
- Developed a stochastic search model with entropic barriers.
- Analyzed a large dataset of 15 million online blitz chess games.
- Validated the model against response time distributions in chess and online purchasing.
Main Results:
- The proposed model accurately fits the entire response time distribution.
- Higher cognitive expertise correlates with exploring more complex solution spaces.
- Online user reaction times are explained by the same decision-making framework.
Conclusions:
- The entropic barrier model offers a unified approach to decision-making across diverse tasks.
- This framework integrates concepts from diffusion models and planning agents.
- The findings have implications for understanding expertise and optimizing online user experiences.
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