RT Journal Article
SR Electronic
T1 Adaptive planning in human search
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 268938
DO 10.1101/268938
A1 Moritz J. F. Krusche
A1 Eric Schulz
A1 Arthur Guez
A1 Maarten Speekenbrink
YR 2018
UL http://biorxiv.org/content/early/2018/05/14/268938.abstract
AB 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 corresponds well with participants’ behavior in test problems with restricted movement and varying degrees of information, outperforming more complex models. These results enrich our understanding of adaptive planning in complex environments.