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The importance of constraints on constraints
Christopher J Bates1, Chris R Sims2, Robert A Jacobs1
1Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY14627. cjbates@ur.rochester.edurjacobs@ur.rochester.eduhttp://www2.bcs.rochester.edu/sites/cbates/http://www2.bcs.rochester.edu/sites/jacobslab/.
The Behavioral and Brain Sciences
|March 12, 2020
Summary
This study introduces a disciplined framework for cognitive science, addressing limitations in the resource-rational approach by clearly defining constraints across different cognitive domains for better understanding of decision-making.
Area of Science:
- Cognitive Science
- Decision-Making Theory
- Computational Neuroscience
Background:
- The resource-rational approach offers a valuable framework for understanding cognition.
- A key limitation is the lack of a clear definition for 'constraints' within this approach.
- This ambiguity leads to disparate constraints across various cognitive domains.
Purpose of the Study:
- To propose an alternative framework for cognitive modeling.
- To address the shortcomings of the resource-rational approach regarding constraint definition.
- To develop a more disciplined and unified approach to cognitive constraints.
Main Methods:
- Conceptual analysis of existing resource-rational models.
- Development of a novel theoretical framework for defining cognitive constraints.
- Comparative analysis of the proposed framework against the resource-rational approach.
Main Results:
- The proposed framework provides a disciplined method for defining constraints.
- It ensures that constraints are meaningful and comparable across different cognitive domains.
- This addresses the ambiguity and lack of commonality in constraints found in the resource-rational approach.
Conclusions:
- The new framework offers a more rigorous and unified perspective on cognitive constraints.
- It enhances the applicability and consistency of resource-rational principles in cognitive science.
- This disciplined approach facilitates a deeper understanding of decision-making processes.
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