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Related Experiment Video

Updated: Dec 21, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

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.

|May 17, 2020

Summary

This summary is machine-generated.

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.

Keywords:

Bayesian foraging navigation

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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.