OLUKORRATEADLIKU KÄITUMISE MATKIMINE OTSUSTUSTOES

SIMULATING SITUATION-AWARE BEHAVIOUR IN SUPPORT OF DECISION MAKING

Abstract

This article is a comprehensive overview about common issues in situation-aware modeling to support decision making. The main focus is on implementation of tunable models in agent-based simulations for investigating the behavioral patterns of simulation agents representing real world actors in crisis management or logistics in a dynamic operational environment. Modeling of situational awareness and analysis of explicit behavior of agents is an essential part of simulation-based decision support. The article consists of the subsections about generic issues of decision support and distributed situation awareness. A special emphasis is placed on reckoning with the real environmental conditions and usage of realistic information for parameterizing the simulation models and agents. The work is illustrated with examples from different projects with practical implementation of agent-based simulations for decision support in crisis management and allocation of resources. All examples are implemented with the same methodology and in the same ProLab simulation environment.