Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Conference Paper

Adaptive planning in human search

There are no MPG-Authors in the publication available
External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

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
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.