Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Conference Paper

Adaptive planning in human search

There are no MPG-Authors available
External Resource
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: http://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.