Simulated Decision Learning in a Multiactor Setting

Abstract

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 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.