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A Partially Observable Model of Decision Making by Fishermen
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| Zeitschriftentitel: | Operations Research |
|---|---|
| Personen und Körperschaften: | |
| In: | Operations Research, 37, 1989, 2, S. 240-254 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Institute for Operations Research and the Management Sciences (INFORMS)
|
| Schlagwörter: |
| author_facet |
Lane, Daniel E. Lane, Daniel E. |
|---|---|
| author |
Lane, Daniel E. |
| spellingShingle |
Lane, Daniel E. Operations Research A Partially Observable Model of Decision Making by Fishermen Management Science and Operations Research Computer Science Applications |
| author_sort |
lane, daniel e. |
| spelling |
Lane, Daniel E. 0030-364X 1526-5463 Institute for Operations Research and the Management Sciences (INFORMS) Management Science and Operations Research Computer Science Applications http://dx.doi.org/10.1287/opre.37.2.240 <jats:p> This paper presents an application of a partially observable Markov decision process for the intraseasonal decisions of fishing vessel operators. Throughout each fishing season, independent vessel operators must decide in which zone or fishing ground of the fishery to fish during each period to catch the most fish with the highest return to fishing effort. Fishermen's decisions are assumed to be made to maximize net operating income. The decision model incorporates the potential fish catch, the cost of the fishing effort, and the unit price of fish. Catch potential is modeled by considering the abundance of the fish stock and the catchability of the fishing technique. Abundance dynamics not observed directly are modeled as a Markov chain with a parsimonious state-space representation, which renders the problem practicable. Dynamic decision policies are computed by the method of optimal control of the process over a finite horizon. The resultant policies are used to simulate distributions of fishermen's net operating income, fishing effort dynamics, and catch statistics. The model may be used as a decision aid in the regulation of the common property fisheries resource. </jats:p> A Partially Observable Model of Decision Making by Fishermen Operations Research |
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Institute for Operations Research and the Management Sciences (INFORMS), 1989 |
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Institute for Operations Research and the Management Sciences (INFORMS), 1989 |
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0030-364X 1526-5463 |
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1989 |
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Institute for Operations Research and the Management Sciences (INFORMS) |
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Operations Research |
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49 |
| title |
A Partially Observable Model of Decision Making by Fishermen |
| title_unstemmed |
A Partially Observable Model of Decision Making by Fishermen |
| title_full |
A Partially Observable Model of Decision Making by Fishermen |
| title_fullStr |
A Partially Observable Model of Decision Making by Fishermen |
| title_full_unstemmed |
A Partially Observable Model of Decision Making by Fishermen |
| title_short |
A Partially Observable Model of Decision Making by Fishermen |
| title_sort |
a partially observable model of decision making by fishermen |
| topic |
Management Science and Operations Research Computer Science Applications |
| url |
http://dx.doi.org/10.1287/opre.37.2.240 |
| publishDate |
1989 |
| physical |
240-254 |
| description |
<jats:p> This paper presents an application of a partially observable Markov decision process for the intraseasonal decisions of fishing vessel operators. Throughout each fishing season, independent vessel operators must decide in which zone or fishing ground of the fishery to fish during each period to catch the most fish with the highest return to fishing effort. Fishermen's decisions are assumed to be made to maximize net operating income. The decision model incorporates the potential fish catch, the cost of the fishing effort, and the unit price of fish. Catch potential is modeled by considering the abundance of the fish stock and the catchability of the fishing technique. Abundance dynamics not observed directly are modeled as a Markov chain with a parsimonious state-space representation, which renders the problem practicable. Dynamic decision policies are computed by the method of optimal control of the process over a finite horizon. The resultant policies are used to simulate distributions of fishermen's net operating income, fishing effort dynamics, and catch statistics. The model may be used as a decision aid in the regulation of the common property fisheries resource. </jats:p> |
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| author | Lane, Daniel E. |
| author_facet | Lane, Daniel E., Lane, Daniel E. |
| author_sort | lane, daniel e. |
| container_issue | 2 |
| container_start_page | 240 |
| container_title | Operations Research |
| container_volume | 37 |
| description | <jats:p> This paper presents an application of a partially observable Markov decision process for the intraseasonal decisions of fishing vessel operators. Throughout each fishing season, independent vessel operators must decide in which zone or fishing ground of the fishery to fish during each period to catch the most fish with the highest return to fishing effort. Fishermen's decisions are assumed to be made to maximize net operating income. The decision model incorporates the potential fish catch, the cost of the fishing effort, and the unit price of fish. Catch potential is modeled by considering the abundance of the fish stock and the catchability of the fishing technique. Abundance dynamics not observed directly are modeled as a Markov chain with a parsimonious state-space representation, which renders the problem practicable. Dynamic decision policies are computed by the method of optimal control of the process over a finite horizon. The resultant policies are used to simulate distributions of fishermen's net operating income, fishing effort dynamics, and catch statistics. The model may be used as a decision aid in the regulation of the common property fisheries resource. </jats:p> |
| doi_str_mv | 10.1287/opre.37.2.240 |
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| imprint | Institute for Operations Research and the Management Sciences (INFORMS), 1989 |
| imprint_str_mv | Institute for Operations Research and the Management Sciences (INFORMS), 1989 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Rs1, DE-Pl11, DE-105, DE-14, DE-Ch1, DE-L229 |
| issn | 0030-364X, 1526-5463 |
| issn_str_mv | 0030-364X, 1526-5463 |
| language | English |
| last_indexed | 2024-03-01T15:49:22.488Z |
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| mega_collection | Institute for Operations Research and the Management Sciences (INFORMS) (CrossRef) |
| physical | 240-254 |
| publishDate | 1989 |
| publishDateSort | 1989 |
| publisher | Institute for Operations Research and the Management Sciences (INFORMS) |
| record_format | ai |
| recordtype | ai |
| series | Operations Research |
| source_id | 49 |
| spelling | Lane, Daniel E. 0030-364X 1526-5463 Institute for Operations Research and the Management Sciences (INFORMS) Management Science and Operations Research Computer Science Applications http://dx.doi.org/10.1287/opre.37.2.240 <jats:p> This paper presents an application of a partially observable Markov decision process for the intraseasonal decisions of fishing vessel operators. Throughout each fishing season, independent vessel operators must decide in which zone or fishing ground of the fishery to fish during each period to catch the most fish with the highest return to fishing effort. Fishermen's decisions are assumed to be made to maximize net operating income. The decision model incorporates the potential fish catch, the cost of the fishing effort, and the unit price of fish. Catch potential is modeled by considering the abundance of the fish stock and the catchability of the fishing technique. Abundance dynamics not observed directly are modeled as a Markov chain with a parsimonious state-space representation, which renders the problem practicable. Dynamic decision policies are computed by the method of optimal control of the process over a finite horizon. The resultant policies are used to simulate distributions of fishermen's net operating income, fishing effort dynamics, and catch statistics. The model may be used as a decision aid in the regulation of the common property fisheries resource. </jats:p> A Partially Observable Model of Decision Making by Fishermen Operations Research |
| spellingShingle | Lane, Daniel E., Operations Research, A Partially Observable Model of Decision Making by Fishermen, Management Science and Operations Research, Computer Science Applications |
| title | A Partially Observable Model of Decision Making by Fishermen |
| title_full | A Partially Observable Model of Decision Making by Fishermen |
| title_fullStr | A Partially Observable Model of Decision Making by Fishermen |
| title_full_unstemmed | A Partially Observable Model of Decision Making by Fishermen |
| title_short | A Partially Observable Model of Decision Making by Fishermen |
| title_sort | a partially observable model of decision making by fishermen |
| title_unstemmed | A Partially Observable Model of Decision Making by Fishermen |
| topic | Management Science and Operations Research, Computer Science Applications |
| url | http://dx.doi.org/10.1287/opre.37.2.240 |