Item talk:Q251560
From geokb
{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Resolving structural uncertainty in natural resources management using POMDP approaches",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70036993",
"url": "https://pubs.usgs.gov/publication/70036993"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70036993
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.ecolmodel.2010.12.015",
"url": "https://doi.org/10.1016/j.ecolmodel.2010.12.015"
},
{
"@type": "PropertyValue",
"propertyID": "ISSN",
"value": "03043800"
}
],
"journal": {
"@type": "Periodical",
"name": "Ecological Modelling",
"volumeNumber": "222",
"issueNumber": "5"
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Ecological Modelling"
}
],
"datePublished": "2011",
"dateModified": "2020-12-15",
"abstract": "In recent years there has been a growing focus on the uncertainties of natural resources management, and the importance of accounting for uncertainty in assessing management effectiveness. This paper focuses on uncertainty in resource management in terms of discrete-state Markov decision processes (MDP) under structural uncertainty and partial observability. It describes the treatment of structural uncertainty with approaches developed for partially observable resource systems. In particular, I show how value iteration for partially observable MDPs (POMDP) can be extended to structurally uncertain MDPs. A key difference between these process classes is that structurally uncertain MDPs require the tracking of system state as well as a probability structure for the structure uncertainty, whereas with POMDPs require only a probability structure for the observation uncertainty. The added complexity of the optimization problem under structural uncertainty is compensated by reduced dimensionality in the search for optimal strategy. A solution algorithm for structurally uncertain processes is outlined for a simple example in conservation biology. By building on the conceptual framework developed for POMDPs, natural resource analysts and decision makers who confront structural uncertainties in natural resources can take advantage of the rapid growth in POMDP methods and approaches, and thereby produce better conservation strategies over a larger class of resource problems.",
"description": "11 p.",
"publisher": {
"@type": "Organization",
"name": "Elsevier"
},
"author": [
{
"@type": "Person",
"name": "Williams, B.K.",
"givenName": "B.K.",
"familyName": "Williams"
}
]
},
"OpenAlex": {
"abstract_inverted_index": {
"In": [
0,
64
],
"recent": [
1
],
"years": [
2
],
"there": [
3
],
"has": [
4
],
"been": [
5
],
"a": [
6,
104,
116,
154,
201
],
"growing": [
7
],
"focus": [
8
],
"on": [
9,
30,
162
],
"the": [
10,
17,
51,
96,
108,
120,
127,
139,
163,
186
],
"uncertainties": [
11,
178
],
"of": [
12,
19,
37,
53,
98,
126,
185,
204
],
"natural": [
13,
169,
180
],
"resources": [
14,
181
],
"management,": [
15
],
"and": [
16,
46,
172,
192,
194
],
"importance": [
18
],
"accounting": [
20
],
"for": [
21,
59,
71,
107,
119,
141,
147,
153,
167
],
"uncertainty": [
22,
31,
45,
55,
132
],
"in": [
23,
32,
35,
138,
157,
179,
189
],
"assessing": [
24
],
"management": [
25,
34
],
"effectiveness.": [
26
],
"This": [
27
],
"paper": [
28
],
"focuses": [
29
],
"resource": [
33,
62,
170,
205
],
"terms": [
36
],
"discrete-state": [
38
],
"Markov": [
39
],
"decision": [
40,
173
],
"processes": [
41,
150
],
"(MDP)": [
42
],
"under": [
43,
130
],
"structural": [
44,
54,
131,
177
],
"partial": [
47
],
"observability.": [
48
],
"It": [
49
],
"describes": [
50
],
"treatment": [
52
],
"with": [
56,
112
],
"approaches": [
57
],
"developed": [
58,
166
],
"partially": [
60,
72
],
"observable": [
61,
73
],
"systems.": [
63
],
"particular,": [
65
],
"I": [
66
],
"show": [
67
],
"how": [
68
],
"value": [
69
],
"iteration": [
70
],
"MDPs": [
74,
94
],
"(POMDP)": [
75
],
"can": [
76,
182
],
"be": [
77
],
"extended": [
78
],
"to": [
79
],
"structurally": [
80,
92,
148
],
"uncertain": [
81,
93,
149
],
"MDPs.": [
82
],
"A": [
83,
144
],
"key": [
84
],
"difference": [
85
],
"between": [
86
],
"these": [
87
],
"process": [
88
],
"classes": [
89
],
"is": [
90,
133,
151
],
"that": [
91
],
"require": [
95,
114
],
"tracking": [
97
],
"system": [
99
],
"state": [
100
],
"as": [
101,
103
],
"well": [
102
],
"probability": [
105,
117
],
"structure": [
106,
109,
118
],
"uncertainty,": [
110
],
"whereas": [
111
],
"POMDPs": [
113
],
"only": [
115
],
"observation": [
121
],
"uncertainty.": [
122
],
"The": [
123
],
"added": [
124
],
"complexity": [
125
],
"optimization": [
128
],
"problem": [
129
],
"compensated": [
134
],
"by": [
135
],
"reduced": [
136
],
"dimensionality": [
137
],
"search": [
140
],
"optimal": [
142
],
"strategy.": [
143
],
"solution": [
145
],
"algorithm": [
146
],
"outlined": [
152
],
"simple": [
155
],
"example": [
156
],
"conservation": [
158,
198
],
"biology.": [
159
],
"By": [
160
],
"building": [
161
],
"conceptual": [
164
],
"framework": [
165
],
"POMDPs,": [
168
],
"analysts": [
171
],
"makers": [
174
],
"who": [
175
],
"confront": [
176
],
"take": [
183
],
"advantage": [
184
],
"rapid": [
187
],
"growth": [
188
],
"POMDP": [
190
],
"methods": [
191
],
"approaches,": [
193
],
"thereby": [
195
],
"produce": [
196
],
"better": [
197
],
"strategies": [
199
],
"over": [
200
],
"larger": [
202
],
"class": [
203
],
"problems.": [
206
]
},
"apc_list": {
"value": 2780,
"currency": "USD",
"value_usd": 2780,
"provenance": "doaj"
},
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5077520092",
"display_name": "Byron K. Williams",
"orcid": "https://orcid.org/0000-0001-7644-1396"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Byron K. Williams",
"raw_affiliation_strings": [
"U.S. Geological Survey Cooperative Research Units, Reston, VA 20192, United States"
],
"affiliations": [
{
"raw_affiliation_string": "U.S. Geological Survey Cooperative Research Units, Reston, VA 20192, United States",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
}
],
"best_oa_location": null,
"biblio": {
"volume": "222",
"issue": "5",
"first_page": "1092",
"last_page": "1102"
},
"citation_normalized_percentile": {
"value": 0.999967,
"is_in_top_1_percent": true,
"is_in_top_10_percent": true
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2009761765",
"cited_by_count": 40,
"cited_by_percentile_year": {
"min": 94,
"max": 95
},
"concepts": [
{
"id": "https://openalex.org/C17098449",
"wikidata": "https://www.wikidata.org/wiki/Q176814",
"display_name": "Partially observable Markov decision process",
"level": 4,
"score": 0.82996774
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 0.6412743
},
{
"id": "https://openalex.org/C36299963",
"wikidata": "https://www.wikidata.org/wiki/Q1369844",
"display_name": "Observability",
"level": 2,
"score": 0.63096094
},
{
"id": "https://openalex.org/C126255220",
"wikidata": "https://www.wikidata.org/wiki/Q141495",
"display_name": "Mathematical optimization",
"level": 1,
"score": 0.5527783
},
{
"id": "https://openalex.org/C106189395",
"wikidata": "https://www.wikidata.org/wiki/Q176789",
"display_name": "Markov decision process",
"level": 3,
"score": 0.46310967
},
{
"id": "https://openalex.org/C111030470",
"wikidata": "https://www.wikidata.org/wiki/Q1430460",
"display_name": "Curse of dimensionality",
"level": 2,
"score": 0.4603801
},
{
"id": "https://openalex.org/C32848918",
"wikidata": "https://www.wikidata.org/wiki/Q845789",
"display_name": "Observable",
"level": 2,
"score": 0.43807632
},
{
"id": "https://openalex.org/C159886148",
"wikidata": "https://www.wikidata.org/wiki/Q176645",
"display_name": "Markov process",
"level": 2,
"score": 0.29461378
},
{
"id": "https://openalex.org/C98763669",
"wikidata": "https://www.wikidata.org/wiki/Q176645",
"display_name": "Markov chain",
"level": 2,
"score": 0.25199556
},
{
"id": "https://openalex.org/C163836022",
"wikidata": "https://www.wikidata.org/wiki/Q6771326",
"display_name": "Markov model",
"level": 3,
"score": 0.22818118
},
{
"id": "https://openalex.org/C33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 0.1814416
},
{
"id": "https://openalex.org/C154945302",
"wikidata": "https://www.wikidata.org/wiki/Q11660",
"display_name": "Artificial intelligence",
"level": 1,
"score": 0.15925637
},
{
"id": "https://openalex.org/C119857082",
"wikidata": "https://www.wikidata.org/wiki/Q2539",
"display_name": "Machine learning",
"level": 1,
"score": 0.13173482
},
{
"id": "https://openalex.org/C105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 0.0
},
{
"id": "https://openalex.org/C121332964",
"wikidata": "https://www.wikidata.org/wiki/Q413",
"display_name": "Physics",
"level": 0,
"score": 0.0
},
{
"id": "https://openalex.org/C62520636",
"wikidata": "https://www.wikidata.org/wiki/Q944",
"display_name": "Quantum mechanics",
"level": 1,
"score": 0.0
},
{
"id": "https://openalex.org/C28826006",
"wikidata": "https://www.wikidata.org/wiki/Q33521",
"display_name": "Applied mathematics",
"level": 1,
"score": 0.0
}
],
"corresponding_author_ids": [
"https://openalex.org/A5077520092"
],
"corresponding_institution_ids": [
"https://openalex.org/I1286329397"
],
"countries_distinct_count": 1,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 2
},
{
"year": 2023,
"cited_by_count": 3
},
{
"year": 2022,
"cited_by_count": 2
},
{
"year": 2021,
"cited_by_count": 2
},
{
"year": 2020,
"cited_by_count": 4
},
{
"year": 2019,
"cited_by_count": 2
},
{
"year": 2018,
"cited_by_count": 1
},
{
"year": 2017,
"cited_by_count": 1
},
{
"year": 2016,
"cited_by_count": 5
},
{
"year": 2015,
"cited_by_count": 4
},
{
"year": 2014,
"cited_by_count": 3
},
{
"year": 2013,
"cited_by_count": 7
},
{
"year": 2012,
"cited_by_count": 3
}
],
"created_date": "2016-06-24",
"datasets": [],
"display_name": "Resolving structural uncertainty in natural resources management using POMDP approaches",
"doi": "https://doi.org/10.1016/j.ecolmodel.2010.12.015",
"fulltext_origin": "ngrams",
"fwci": 5.443,
"grants": [],
"has_fulltext": true,
"id": "https://openalex.org/W2009761765",
"ids": {
"openalex": "https://openalex.org/W2009761765",
"doi": "https://doi.org/10.1016/j.ecolmodel.2010.12.015",
"mag": "2009761765"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 1,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/observability",
"display_name": "Observability",
"score": 0.63096094
},
{
"id": "https://openalex.org/keywords/robust-decision-making",
"display_name": "Robust Decision Making",
"score": 0.527256
},
{
"id": "https://openalex.org/keywords/structure-learning",
"display_name": "Structure Learning",
"score": 0.500447
}
],
"language": "en",
"locations": [
{
"is_oa": false,
"landing_page_url": "https://doi.org/10.1016/j.ecolmodel.2010.12.015",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S88315673",
"display_name": "Ecological Modelling",
"issn_l": "0304-3800",
"issn": [
"0304-3800",
"1872-7026"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
}
],
"locations_count": 1,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W2009761765/ngrams",
"open_access": {
"is_oa": false,
"oa_status": "closed",
"oa_url": null,
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": false,
"landing_page_url": "https://doi.org/10.1016/j.ecolmodel.2010.12.015",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S88315673",
"display_name": "Ecological Modelling",
"issn_l": "0304-3800",
"issn": [
"0304-3800",
"1872-7026"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320990",
"host_organization_name": "Elsevier BV",
"host_organization_lineage": [
"https://openalex.org/P4310320990"
],
"host_organization_lineage_names": [
"Elsevier BV"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T11303",
"display_name": "Learning and Inference in Bayesian Networks",
"score": 0.9779,
"subfield": {
"id": "https://openalex.org/subfields/1702",
"display_name": "Artificial Intelligence"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
"publication_date": "2011-03-01",
"publication_year": 2011,
"referenced_works": [
"https://openalex.org/W119053260",
"https://openalex.org/W1491973539",
"https://openalex.org/W1515891729",
"https://openalex.org/W1532688806",
"https://openalex.org/W1538075516",
"https://openalex.org/W1549519846",
"https://openalex.org/W158205031",
"https://openalex.org/W1586620267",
"https://openalex.org/W1596254391",
"https://openalex.org/W180325379",
"https://openalex.org/W1977701529",
"https://openalex.org/W1989031074",
"https://openalex.org/W2004273516",
"https://openalex.org/W2026416225",
"https://openalex.org/W2034725503",
"https://openalex.org/W2042464037",
"https://openalex.org/W2044375425",
"https://openalex.org/W2052765899",
"https://openalex.org/W2065087844",
"https://openalex.org/W2088614168",
"https://openalex.org/W2096132608",
"https://openalex.org/W2098432798",
"https://openalex.org/W2103614073",
"https://openalex.org/W2113910970",
"https://openalex.org/W2116970851",
"https://openalex.org/W2119567691",
"https://openalex.org/W2120695425",
"https://openalex.org/W2122125479",
"https://openalex.org/W2123651102",
"https://openalex.org/W2124717663",
"https://openalex.org/W2129309658",
"https://openalex.org/W2134383218",
"https://openalex.org/W2142568711",
"https://openalex.org/W2149476049",
"https://openalex.org/W2168359464",
"https://openalex.org/W2169294731",
"https://openalex.org/W2170304824",
"https://openalex.org/W2170539502",
"https://openalex.org/W2171260910",
"https://openalex.org/W2333357124",
"https://openalex.org/W2796007224",
"https://openalex.org/W4210829811",
"https://openalex.org/W4298023569"
],
"referenced_works_count": 43,
"related_works": [
"https://openalex.org/W52153049",
"https://openalex.org/W4323315247",
"https://openalex.org/W2999848267",
"https://openalex.org/W2951545791",
"https://openalex.org/W2294884454",
"https://openalex.org/W2096013579",
"https://openalex.org/W1760611253",
"https://openalex.org/W1589140671",
"https://openalex.org/W1515117609",
"https://openalex.org/W11481024"
],
"sustainable_development_goals": [
{
"score": 0.46,
"id": "https://metadata.un.org/sdg/12",
"display_name": "Responsible consumption and production"
}
],
"title": "Resolving structural uncertainty in natural resources management using POMDP approaches",
"topics": [
{
"id": "https://openalex.org/T11303",
"display_name": "Learning and Inference in Bayesian Networks",
"score": 0.9779,
"subfield": {
"id": "https://openalex.org/subfields/1702",
"display_name": "Artificial Intelligence"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10841",
"display_name": "Discrete Choice Models in Economics and Health Care",
"score": 0.9765,
"subfield": {
"id": "https://openalex.org/subfields/2002",
"display_name": "Economics and Econometrics"
},
"field": {
"id": "https://openalex.org/fields/20",
"display_name": "Economics, Econometrics and Finance"
},
"domain": {
"id": "https://openalex.org/domains/2",
"display_name": "Social Sciences"
}
},
{
"id": "https://openalex.org/T10969",
"display_name": "Optimal Operation of Water Resources Systems",
"score": 0.9344,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-08-13T07:18:14.833334",
"versions": []
}
}
