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Simulating exploration versus exploitation in agent foraging under different environment uncertainties

Published online by Cambridge University Press:  19 March 2019

Nader Chmait
Affiliation:
Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia. [email protected]@[email protected]@monash.eduhttp://users.monash.edu.au/~naderc/http://www.csse.monash.edu.au/~dld/David.Dowe.publications.htmlhttps://research.monash.edu/en/persons/david-greenhttp://users.monash.edu.au/~yli/
David L. Dowe
Affiliation:
Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia. [email protected]@[email protected]@monash.eduhttp://users.monash.edu.au/~naderc/http://www.csse.monash.edu.au/~dld/David.Dowe.publications.htmlhttps://research.monash.edu/en/persons/david-greenhttp://users.monash.edu.au/~yli/
David G. Green
Affiliation:
Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia. [email protected]@[email protected]@monash.eduhttp://users.monash.edu.au/~naderc/http://www.csse.monash.edu.au/~dld/David.Dowe.publications.htmlhttps://research.monash.edu/en/persons/david-greenhttp://users.monash.edu.au/~yli/
Yuan-Fang Li
Affiliation:
Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia. [email protected]@[email protected]@monash.eduhttp://users.monash.edu.au/~naderc/http://www.csse.monash.edu.au/~dld/David.Dowe.publications.htmlhttps://research.monash.edu/en/persons/david-greenhttp://users.monash.edu.au/~yli/

Abstract

For artificial agents trading off exploration (food seeking) versus (short-term) exploitation (or consumption), our experiments suggest that uncertainty (interpreted information, theoretically) magnifies food seeking. In more uncertain environments, with food distributed uniformly randomly, exploration appears to be beneficial. In contrast, in biassed (less uncertain) environments, with food concentrated in only one part, exploitation appears to be more advantageous. Agents also appear to do better in biassed environments.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2019 

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