<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Simulated Decision Learning in a Multiactor Setting

ITM / Informatics, Mid Sweden University, 83125 ÖSTERSUND, Sweden

Organizacija

{"article-title":"Simulated Decision Learning in a Multiactor Setting"}

The idea of decision analysis-and subsequent learning from the outcomes-is old within Operational Research. Here this approach to continuous improvement of...

Simulated Decision Learning in a Multiactor Setting

Publié en ligne: 09 juin 2010

Pages: 136 - 145

DOI: https://doi.org/10.2478/v10051-010-0014-1

Mots clés
Multi Layered Systems, Anticipation, Retardation, Learning, Simulation

This content is open access.

Simulated Decision Learning in a Multiactor Setting

Publié en ligne: 09 juin 2010

Pages: 136 - 145

DOI: https://doi.org/10.2478/v10051-010-0014-1

Mots clésMulti Layered Systems, Anticipation, Retardation, Learning, Simulation

This content is open access.

Mots clés
Multi Layered Systems, Anticipation, Retardation, Learning, Simulation