An Application of a Monte-Carlo AIXI Approximation in Ecological Fire Management

Rollin Omari, David Newth, Margi Böhm, Masoud MOHAMMADIAN

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

Abstract

In this paper we present an approach that combines an artificial agent constructed from a general solution to the reinforcement learning problem and the Canadian Fire Weather Index. The study illustrates that the integration of AIXI and the problem of action selection in wildfire management scenarios simultaneously downscales the AIXI model and offers a practical demonstration of applied AIXI theory, while also illustrating the potential usefulness of such a tool in fire and natural resource management.
Original languageEnglish
Title of host publication International Conference on Intelligent Agents, Web Technologies and Internet Commerce - IAWTIC'2014 Jointly with International Conference on Computational for Modelling, Control and Automation - CIMCA'2014
Place of PublicationOnline
PublisherConference
Pages31-37
Number of pages7
ISBN (Print)9780646935942
Publication statusPublished - 2014
EventInternational Conference on Intelligent Agents, Web Technologies and Internet Commerce - IAWTIC'2014 Jointly with International Conference on Computational for Modelling, Control and Automation - CIMCA'2014 - Online Conference, Vienna, Austria
Duration: 10 Dec 201412 Dec 2014
http://www.cimca-conf.org/iawtic14/

Conference

ConferenceInternational Conference on Intelligent Agents, Web Technologies and Internet Commerce - IAWTIC'2014 Jointly with International Conference on Computational for Modelling, Control and Automation - CIMCA'2014
Country/TerritoryAustria
CityVienna
Period10/12/1412/12/14
Internet address

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