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Simulating exploration versus exploitation in agent foraging under different environment uncertainties
Published online by Cambridge University Press: 19 March 2019
Abstract
For artificial agents trading off exploration (food seeking) versus (short-term) exploitation (or consumption), our experiments suggest that uncertainty (interpreted information, theoretically) magnifies food seeking. In more uncertain environments, with food distributed uniformly randomly, exploration appears to be beneficial. In contrast, in biassed (less uncertain) environments, with food concentrated in only one part, exploitation appears to be more advantageous. Agents also appear to do better in biassed environments.
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- Copyright © Cambridge University Press 2019
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Target article
How foraging works: Uncertainty magnifies food-seeking motivation
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