Exploration-exploitation Trade-off in a Treasure Hunting Game
Author(s) -
Dimitri Volchenkov,
Jonathan Helbach,
Marko Tscherepanow,
Sina Küheel
Publication year - 2013
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2013.11.009
Subject(s) - treasure , variety (cybernetics) , computer science , scale (ratio) , simple (philosophy) , noise (video) , brownian motion , range (aeronautics) , theoretical computer science , data science , artificial intelligence , economic geography , human–computer interaction , econometrics , geography , mathematics , statistics , cartography , engineering , epistemology , archaeology , image (mathematics) , philosophy , aerospace engineering
earching experiments conducted in different virtual environments over a gender balanced group of people revealed a gender irrelevant scale-free spread of searching activity on large spatiotemporal scales. We have suggested and solved analytically a simple statistical model of the coherent-noise type describing the exploration-exploitation trade-off in humans (“should I stay or should I go”). The model exhibits a variety of saltatory behaviours, ranging from Levy flights occurring under uncertainty to Brownian walks performed by a treasure hunter confident of the eventual success
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