EconPapers    
Economics at your fingertips  
 

Simulated Decision Learning in a Multiactor Setting

Asproth Viveca, Holmberg Stig and Löfstedt Ulrica
Additional contact information
Asproth Viveca: ITM / Informatics, Mid Sweden University, 83125 ÖSTERSUND, Sweden
Holmberg Stig: ITM / Informatics, Mid Sweden University, 83125 ÖSTERSUND, Sweden
Löfstedt Ulrica: ITM / Informatics, Mid Sweden University, 83125 ÖSTERSUND, Sweden

Organizacija, 2010, vol. 43, issue 3, 136-145

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.

Keywords: Multi Layered Systems; Anticipation; Retardation; Learning; Simulation; Multi Layered Systems; Anticipation; Retardation; Learning; Simulation (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/v10051-010-0014-1 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:organi:v:43:y:2010:i:3:p:136-145:n:5

DOI: 10.2478/v10051-010-0014-1

Access Statistics for this article

Organizacija is currently edited by Jože Zupančič

More articles in Organizacija from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:organi:v:43:y:2010:i:3:p:136-145:n:5