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Markov decision processes in natural resources management: Observability and uncertainty

Ecological Modelling

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DOI: 10.1016/j.ecolmodel.2008.12.023

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Abstract

The breadth and complexity of stochastic decision processes in natural resources presents a challenge to analysts who need to understand and use these approaches. The objective of this paper is to describe a class of decision processes that are germane to natural resources conservation and management, namely Markov decision processes, and to discuss applications and computing algorithms under different conditions of observability and uncertainty. A number of important similarities are developed in the framing and evaluation of different decision processes, which can be useful in their applications in natural resources management. The challenges attendant to partial observability are highlighted, and possible approaches for dealing with it are discussed.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Markov decision processes in natural resources management: Observability and uncertainty
Series title:
Ecological Modelling
DOI:
10.1016/j.ecolmodel.2008.12.023
Volume
220
Issue:
6
Year Published:
2009
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Ecological Modelling
First page:
830
Last page:
840
Number of Pages:
11