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Dynamic Resource Allocation in Conservation Planning

Golovin, Daniel and Krause, Andreas and Gardner, Beth and Converse, Sarah J. and Morey, Steve (2011) Dynamic Resource Allocation in Conservation Planning. In: Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence , Menlo Park, CA, pp. 1331-1336. ISBN 978-1-57735-507-6. https://resolver.caltech.edu/CaltechAUTHORS:20110816-145003751

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Abstract

Consider the problem of protecting endangered species by selecting patches of land to be used for conservation purposes. Typically, the availability of patches changes over time, and recommendations must be made dynamically. This is a challenging prototypical example of a sequential optimization problem under uncertainty in computational sustainability. Existing techniques do not scale to problems of realistic size. In this paper, we develop an efficient algorithm for adaptively making recommendations for dynamic conservation planning, and prove that it obtains near-optimal performance. We further evaluate our approach on a detailed reserve design case study of conservation planning for three rare species in the Pacific Northwest of the United States.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/view/3617PublisherUNSPECIFIED
Additional Information:© 2011 Association for the Advancement of Artificial Intelligence. This research was partially supported by ONR grant N00014-09-1-1044, NSF grants CNS-0932392 and IIS-0953413, the Caltech Center for the Mathematics of Information, and by the US Fish and Wildlife Service. We thank J. Bakker, J. Bush, M. Jensen, T. Kaye, J. Kenagy, C. Langston, S. Pearson, M. Singer, D. Stinson, D. Stokes, and T. Thomas for their contributions.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-09-1-1044
NSFCNS-0932392
NSFIIS-0953413
Caltech Center for the Mathematics of InformationUNSPECIFIED
US Fish and Wildlife ServiceUNSPECIFIED
Record Number:CaltechAUTHORS:20110816-145003751
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20110816-145003751
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24896
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:16 Aug 2011 22:10
Last Modified:03 Oct 2019 03:00

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