Markov decision processes in natural resources management: Observability and uncertainty
Ecological Modelling
By: B. Kenneth Williams
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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.
Suggested Citation
Williams, B.K., 2009, Markov decision processes in natural resources management: Observability and uncertainty: Ecological Modelling, v. 220, no. 6, p. 830-840, https://doi.org/10.1016/j.ecolmodel.2008.12.023.
| 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 |