메뉴 건너뛰기




Volumn 222, Issue 5, 2011, Pages 1092-1102

Resolving structural uncertainty in natural resources management using POMDP approaches

Author keywords

Markov decision process; Natural resources; Partial observability; Structural uncertainty; Value iteration

Indexed keywords

CONCEPTUAL FRAMEWORKS; CONSERVATION BIOLOGY; CONSERVATION STRATEGIES; DECISION MAKERS; MANAGEMENT EFFECTIVENESS; MARKOV DECISION PROCESSES; OPTIMAL STRATEGIES; OPTIMIZATION PROBLEMS; PARTIAL OBSERVABILITY; PROCESS CLASS; RAPID GROWTH; REDUCED DIMENSIONALITY; RESOURCE MANAGEMENT; RESOURCE SYSTEM; SOLUTION ALGORITHMS; STRUCTURAL UNCERTAINTY; SYSTEM STATE; UNCERTAIN PROCESS; VALUE ITERATION;

EID: 79551515102     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2010.12.015     Document Type: Article
Times cited : (37)

References (47)
  • 2
    • 0008084202 scopus 로고
    • Optimal policies for partially observable Markov decision processes
    • Brown University, Providence, RI.
    • Cassandra, A.R., 1994. Optimal policies for partially observable Markov decision processes. Technical Report CS-94-14. Brown University, Providence, RI.
    • (1994) Technical Report CS-94-14
    • Cassandra, A.R.1
  • 3
    • 0003989210 scopus 로고    scopus 로고
    • Exact and approximate algorithms for partially observable Markov decision processes
    • Cassandra, A.R., 1998. Exact and approximate algorithms for partially observable Markov decision processes. Ph.D. thesis. Brown University, Providence, RI.
    • (1998) Ph.D. thesis. Brown University, Providence, RI
    • Cassandra, A.R.1
  • 6
    • 78549256476 scopus 로고    scopus 로고
    • Optimal control of an invasive species with imperfect information about the level of infestation
    • Haight R.G., Polasky S. Optimal control of an invasive species with imperfect information about the level of infestation. Resource and Energy Economics 2010, 32:519-533.
    • (2010) Resource and Energy Economics , vol.32 , pp. 519-533
    • Haight, R.G.1    Polasky, S.2
  • 7
    • 0001770240 scopus 로고    scopus 로고
    • Value-function approximations for partially observable Markov decision processes
    • Hauskrecht M. Value-function approximations for partially observable Markov decision processes. Journal of Artificial Intelligence Research 2000, 13:33-94.
    • (2000) Journal of Artificial Intelligence Research , vol.13 , pp. 33-94
    • Hauskrecht, M.1
  • 8
    • 0036105066 scopus 로고    scopus 로고
    • Conditions and limitations on learning in the adaptive management of mallard harvests
    • Johnson J.A., Kendall W.L., Dubovsky J.A. Conditions and limitations on learning in the adaptive management of mallard harvests. Wildlife Society Bulletin 2002, 30:176-185.
    • (2002) Wildlife Society Bulletin , vol.30 , pp. 176-185
    • Johnson, J.A.1    Kendall, W.L.2    Dubovsky, J.A.3
  • 10
    • 0024628848 scopus 로고
    • A partially observable model of decision making by fishermen
    • Lane D. A partially observable model of decision making by fishermen. Operations Research 1989, 37:240-254.
    • (1989) Operations Research , vol.37 , pp. 240-254
    • Lane, D.1
  • 12
    • 79551523093 scopus 로고    scopus 로고
    • Algorithms for sequential decision making. Ph.D. thesis. Brown University, Providence, RI.
    • Littman, M.L., 1996. Algorithms for sequential decision making. Ph.D. thesis. Brown University, Providence, RI.
    • (1996)
    • Littman, M.L.1
  • 13
    • 0002679852 scopus 로고
    • A survey of algorithmic methods for partially observable Markov decision processes
    • Lovejoy W.S. A survey of algorithmic methods for partially observable Markov decision processes. Annals of Operations Research 1991, 28:47-65.
    • (1991) Annals of Operations Research , vol.28 , pp. 47-65
    • Lovejoy, W.S.1
  • 14
    • 0000494894 scopus 로고
    • Computationally feasible bounds on partially observed Markov decision processes
    • Lovejoy W.S. Computationally feasible bounds on partially observed Markov decision processes. Operations Research 1991, 39:162-175.
    • (1991) Operations Research , vol.39 , pp. 162-175
    • Lovejoy, W.S.1
  • 15
    • 0029542489 scopus 로고
    • SDP: generalized software for solving stochastic dynamic optimization problems
    • Lubow B.C. SDP: generalized software for solving stochastic dynamic optimization problems. Wildlife Society Bulletin 1995, 23:738-742.
    • (1995) Wildlife Society Bulletin , vol.23 , pp. 738-742
    • Lubow, B.C.1
  • 16
    • 62849112783 scopus 로고    scopus 로고
    • Getting the biggest bang for our conservation buck
    • MacKenzie D.I. Getting the biggest bang for our conservation buck. Trends in Ecology and Evolution 2009, 24:175-177.
    • (2009) Trends in Ecology and Evolution , vol.24 , pp. 175-177
    • MacKenzie, D.I.1
  • 18
    • 0019909899 scopus 로고
    • A survey of partially observable Markov decision processes: theory, models, and algorithms
    • Monahan G.E. A survey of partially observable Markov decision processes: theory, models, and algorithms. Management Science 1982, 28:1-16.
    • (1982) Management Science , vol.28 , pp. 1-16
    • Monahan, G.E.1
  • 19
    • 33646168363 scopus 로고    scopus 로고
    • Optimal regeneration planning for old-growth forests: addressing scientific uncertainty in endangered species recovery through adaptive management
    • Moore C.T., Conroy M.J. Optimal regeneration planning for old-growth forests: addressing scientific uncertainty in endangered species recovery through adaptive management. Forest Science 2006, 52:155-172.
    • (2006) Forest Science , vol.52 , pp. 155-172
    • Moore, C.T.1    Conroy, M.J.2
  • 24
    • 79551551599 scopus 로고    scopus 로고
    • Exploiting structure to efficiently solve large scale partially observable Markov decision processes. Ph.D. thesis. University of Toronto, Canada.
    • Poupart, P., 2005. Exploiting structure to efficiently solve large scale partially observable Markov decision processes. Ph.D. thesis. University of Toronto, Canada.
    • (2005)
    • Poupart, P.1
  • 25
    • 85086252308 scopus 로고    scopus 로고
    • Knowledge gain or system benefit in environmental decision making? 18th World IMAC/MODSIM Congress. Cairns, Australia.
    • Probert, W.J.M., McDondald-Madden, E., Hau7ser, C.E., Baxter, P.W.J., Possingham, H.P., 2009. Knowledge gain or system benefit in environmental decision making? 18th World IMAC/MODSIM Congress. Cairns, Australia.
    • (2009)
    • Probert, W.J.M.1    McDondald-Madden, E.2    Hau7ser, C.E.3    Baxter, P.W.J.4    Possingham, H.P.5
  • 27
    • 0036557496 scopus 로고    scopus 로고
    • A taxonomy and treatment of uncertainty for ecology and conservation biology
    • Regan H.M., Colyvan M., Burgman M.A. A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications 2002, 12:618-628.
    • (2002) Ecological Applications , vol.12 , pp. 618-628
    • Regan, H.M.1    Colyvan, M.2    Burgman, M.A.3
  • 28
    • 65349140648 scopus 로고    scopus 로고
    • Optimal adaptive management for the translocation of a threatened species
    • Rout T.M., Hauser C.E., Possingham H.P. Optimal adaptive management for the translocation of a threatened species. Ecological Applications 2009, 19:515-526.
    • (2009) Ecological Applications , vol.19 , pp. 515-526
    • Rout, T.M.1    Hauser, C.E.2    Possingham, H.P.3
  • 29
    • 0036628252 scopus 로고    scopus 로고
    • Active adaptive management in insect pest and weed control: intervention with a plan for learning
    • Shea K., Possingham H.P., Murdoch W.W., Roush R. Active adaptive management in insect pest and weed control: intervention with a plan for learning. Ecological Applications 2002, 12:927-936.
    • (2002) Ecological Applications , vol.12 , pp. 927-936
    • Shea, K.1    Possingham, H.P.2    Murdoch, W.W.3    Roush, R.4
  • 30
    • 0015658957 scopus 로고
    • The optimal control of partially observable Markov processes over a finite horizon
    • Smallwood R.D., Sondik E.J. The optimal control of partially observable Markov processes over a finite horizon. Operations Research 1973, 21:1071-1088.
    • (1973) Operations Research , vol.21 , pp. 1071-1088
    • Smallwood, R.D.1    Sondik, E.J.2
  • 31
    • 79551533857 scopus 로고
    • The optimal control of Markov decision processes. Ph.D. thesis. Stanford University, Palo Alto, CA.
    • Sondik, E.J., 1971. The optimal control of Markov decision processes. Ph.D. thesis. Stanford University, Palo Alto, CA.
    • (1971)
    • Sondik, E.J.1
  • 32
    • 0017943242 scopus 로고
    • The optimal control of partially observable Markov processes over the infinite horizon
    • Sondik E.J. The optimal control of partially observable Markov processes over the infinite horizon. Operations Research 1978, 26:282-304.
    • (1978) Operations Research , vol.26 , pp. 282-304
    • Sondik, E.J.1
  • 33
    • 77953495944 scopus 로고    scopus 로고
    • Endangered seabird habitat management as a partially observable Markov decision process
    • Tomberlin D. Endangered seabird habitat management as a partially observable Markov decision process. Marine Resources Economics 2010, 25:93-104.
    • (2010) Marine Resources Economics , vol.25 , pp. 93-104
    • Tomberlin, D.1
  • 34
    • 79551532532 scopus 로고    scopus 로고
    • Managing multi-stock fisheries under both process and observation uncertainty
    • Institute for Systems Engineering and Computers, University of Coimbra, Portugal
    • Tomberlin D. Managing multi-stock fisheries under both process and observation uncertainty. Proceedings of the 25th Mini-EURO Conference on Uncertainty and Risk in Planning and Decision Making 2010, Institute for Systems Engineering and Computers, University of Coimbra, Portugal.
    • (2010) Proceedings of the 25th Mini-EURO Conference on Uncertainty and Risk in Planning and Decision Making
    • Tomberlin, D.1
  • 36
    • 79551572894 scopus 로고
    • Partially observed Markov decision processes: a survey. Annals of Operations Research.
    • White, C.C.III, 1991. Partially observed Markov decision processes: a survey. Annals of Operations Research.
    • (1991)
    • White III, C.C.1
  • 37
    • 0022225983 scopus 로고
    • Optimal management strategies in variable environments: stochastic optimal control methods
    • Williams B.K. Optimal management strategies in variable environments: stochastic optimal control methods. Journal of Environmental Management 1985, 21:95-115.
    • (1985) Journal of Environmental Management , vol.21 , pp. 95-115
    • Williams, B.K.1
  • 38
    • 0034839113 scopus 로고    scopus 로고
    • Uncertainty, learning, and the optimal management of wildlife
    • Williams B.K. Uncertainty, learning, and the optimal management of wildlife. Environmental and Ecological Statistics 2001, 8:269-288.
    • (2001) Environmental and Ecological Statistics , vol.8 , pp. 269-288
    • Williams, B.K.1
  • 39
    • 60649092155 scopus 로고    scopus 로고
    • Markov decision processes in natural resources management: observability and uncertainty
    • Williams B.K. Markov decision processes in natural resources management: observability and uncertainty. Ecological Modeling 2009, 220:830-840.
    • (2009) Ecological Modeling , vol.220 , pp. 830-840
    • Williams, B.K.1
  • 40
    • 79551562675 scopus 로고    scopus 로고
    • Adaptive management of natural resources-framework and issues. Journal of Environmental Management, in press.
    • Williams, B.K. Adaptive management of natural resources-framework and issues. Journal of Environmental Management, in press.
    • Williams, B.K.1
  • 41
    • 0034784574 scopus 로고    scopus 로고
    • Systems identification and the adaptive management of waterfowl in the United States
    • Williams B.K., Nichols J.D. Systems identification and the adaptive management of waterfowl in the United States. Wildlife Biology 2001, 7:129-142.
    • (2001) Wildlife Biology , vol.7 , pp. 129-142
    • Williams, B.K.1    Nichols, J.D.2
  • 43
    • 79551548242 scopus 로고    scopus 로고
    • Adaptive management: The U.S. Department of the Interior Applications Guide. Adaptive Management Working Group. U.S. Department of the Interior, Washington, DC, in press.
    • Williams, B.K., Shapiro, C.D., Brown, E.D.. Adaptive management: The U.S. Department of the Interior Applications Guide. Adaptive Management Working Group. U.S. Department of the Interior, Washington, DC, in press.
    • Williams, B.K.1    Shapiro, C.D.2    Brown, E.D.3
  • 44
    • 79551550888 scopus 로고    scopus 로고
    • Adaptive management: The U.S. Department of the Interior Technical Guide. Adaptive Management Working Group. U.S. Department of the Interior, Washington, DC.
    • Williams, B.K., Szaro, R.C., Shapiro, C.D., 2007. Adaptive management: The U.S. Department of the Interior Technical Guide. Adaptive Management Working Group. U.S. Department of the Interior, Washington, DC.
    • (2007)
    • Williams, B.K.1    Szaro, R.C.2    Shapiro, C.D.3
  • 45
    • 79551560013 scopus 로고    scopus 로고
    • Planning in stochastic domains: Problem characteristics and approximation. Technical Report HKUST-CS96-31. Department of Computer Science, Hong Kong University of Science and Technology, China.
    • Zhang, N.L., Liu, W., 1996. Planning in stochastic domains: Problem characteristics and approximation. Technical Report HKUST-CS96-31. Department of Computer Science, Hong Kong University of Science and Technology, China.
    • (1996)
    • Zhang, N.L.1    Liu, W.2
  • 46
    • 0036374229 scopus 로고    scopus 로고
    • Speeding up the convergence of value-iteration in partially observable Markov decision processes
    • Zhang N.L., Zhang W. Speeding up the convergence of value-iteration in partially observable Markov decision processes. Journal of Artificial Intelligence Research 2001, 14:29-51.
    • (2001) Journal of Artificial Intelligence Research , vol.14 , pp. 29-51
    • Zhang, N.L.1    Zhang, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.