Krusche, MJF;
Schulz, E;
Guez, A;
Speekenbrink, M;
(2018)
Adaptive planning in human search.
In:
Proceedings of the 40th Annual Conference of the Cognitive Science Society 2018.
(pp. pp. 1981-1986).
Cognitive Science Society
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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 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.
| Type: | Proceedings paper |
|---|---|
| Title: | Adaptive planning in human search |
| Event: | 40th Annual Conference of the Cognitive Science Society |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://cognitivesciencesociety.org/wp-content/upl... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Planning; Decision Making; Tree Search; Foraging; Reinforcement Learning; Monte Carlo Sampling |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10138390 |
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