Adaptive planning in human search

Krusche, M; Schulz, E; Guez, A; Speekenbrink, M

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Adaptive planning in human search

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https://cogsci.mindmodeling.org/2018/papers/0379/0379.pdf
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Krusche, M., Schulz, E., Guez, A., & Speekenbrink, M. (2019). Adaptive planning in human search. In 40th Annual Cognitive Science Society Meeting (CogSci 2018): Changing / Minds (pp. 1981-1986). Red Hook, NY, USA: Curran.

Cite as: https://hdl.handle.net/21.11116/0000-0006-B393-9

Abstract

How do people plan ahead when searching for rewards? We investigate planning in a foraging task in which participants search for rewards on an infinite two-dimensional grid. Our results show that their search is best-described by a model which searches at least 3 steps ahead. Furthermore, participants do not seem to update their beliefs during planning, but rather treat their initial beliefs as given, a strategy similar to a heuristic called root-sampling. This planning algorithm corre- sponds well with participants’ behavior in test problems with restricted movement and varying degrees of information, out- performing more complex models. These results enrich our understanding of adaptive planning in complex environments.