2010
DOI: 10.2478/v10051-010-0014-1
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Simulated Decision Learning in a Multiactor Setting

Abstract: Simulated Decision Learning in a Multiactor SettingThe idea of decision analysis-and subsequent learning from the outcomes-is old within Operational Research. Here this approach to continuous improvement of decision outcomes is put one step further within the area of crisis and disaster management. This is done by introducing multiactors making simultaneous decisions with just partial information about each other. Further, decision outcomes are achieved from a simulation model rather than from the real object … Show more

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Cited by 1 publication
(3 citation statements)
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References 33 publications
(16 reference statements)
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“…Our methodological approach, as successively developed and refined in a series of projects (Asproth et al 2010) has taken its inspiration from Community Operational Research as the concept was first defined by Rosenhead (1986) and further developed by Midgley (2000). The specific challenges and problems with OR in modern community applications has been discussed by Holmberg (2001c).…”
Section: Methodsmentioning
confidence: 99%
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“…Our methodological approach, as successively developed and refined in a series of projects (Asproth et al 2010) has taken its inspiration from Community Operational Research as the concept was first defined by Rosenhead (1986) and further developed by Midgley (2000). The specific challenges and problems with OR in modern community applications has been discussed by Holmberg (2001c).…”
Section: Methodsmentioning
confidence: 99%
“…NLS, which is the main focus here, is a component or subsystem within the NetAgora web portal. NetAgora is already described in detail by Asproth et al 2010. However, due to its central role for NLS, its main properties will be briefly repeated here.…”
Section: Netagoramentioning
confidence: 99%
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