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Many Paths to the Same Goal: Balancing Exploration and Exploitation during Probabilistic Route Planning
Brian J Jackson1, Gusti Lulu Fatima1, Sujean Oh1
1Department of Psychology, University of Washington, Seattle, WA 98195.
Eneuro
|May 17, 2020
Summary
Animals adaptively shift cognitive resources between sensory and memory systems for efficient route planning during foraging. This strategy optimizes decision-making under uncertainty, enhancing foraging success.
Area of Science:
- Behavioral Ecology
- Cognitive Neuroscience
- Computational Biology
Background:
- Animals employ self-guided behaviors, balancing exploration and exploitation during foraging.
- Route planning under uncertainty requires adaptive strategy selection.
Purpose of the Study:
- To investigate how animals adaptively shift cognitive resources between sensory and memory systems during foraging.
- To define strategies used in a probabilistic traveling salesman problem in a laboratory setting.
Main Methods:
- Developed a novel laboratory method to study route optimization in rats.
- Manipulated prior information reliability and problem complexity.
- Analyzed animal trajectories to infer cognitive strategies.
Main Results:
- Rats efficiently solved complex route-planning problems, even with unreliable prior information.
- Animals adaptively shifted between exploiting known rewards and searching for new ones based on predictability.
- Performance aligned with adaptive resource allocation between sensory processing and memory.
Conclusions:
- Animal foraging strategies demonstrate adaptive cognitive resource allocation between sensory and memory systems.
- Findings offer insights into neural substrates of natural behavior and inspire biologically-based optimization algorithms.
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