{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "CreativeWork",
"additionalType": "Journal Article",
"name": "Resolving structural uncertainty in natural resources management using POMDP approaches",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70169328",
"url": "https://pubs.usgs.gov/publication/70169328"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70169328
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.ecolmodel.2010.12.015",
"url": "https://doi.org/10.1016/j.ecolmodel.2010.12.015"
}
],
"inLanguage": "en",
"datePublished": "2016",
"dateModified": "2019-06-05",
"publisher": {
"@type": "Organization",
"name": "U.S. Geological Survey"
},
"author": [
{
"@type": "Person",
"name": "Weber, Lisa C.",
"givenName": "Lisa C.",
"familyName": "Weber",
"affiliation": [
{
"@type": "Organization",
"name": "National Water Quality Assessment Program",
"url": "https://www.usgs.gov/programs/national-water-quality-program"
}
]
}
],
"funder": [
{
"@type": "Organization",
"name": "Coop Res Unit Leetown",
"url": "https://www1.usgs.gov/coopunits/unit/Virginia"
}
]
},
"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": []
}
}