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Simulated Decision Learning in a Multiactor Setting Cover

Simulated Decision Learning in a Multiactor Setting

Open Access
|Jun 2010

Abstract

The 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 system.

DOI: https://doi.org/10.2478/v10051-010-0014-1 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
Language: English
Page range: 136 - 145
Published on: Jun 9, 2010
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2010 Viveca Asproth, Stig Holmberg, Ulrica Löfstedt, published by University of Maribor
This work is licensed under the Creative Commons License.

Volume 43 (2010): Issue 3 (May 2010)