Models for strategic decision makers during CBRN crysis in industrial and urban environment

Abstract

This paper proposes an architecture to deal Strategic Decision Making within Urban Area and Industrial Plants due to Risks related to TIC/TIM (Toxic Industrial Chemical, Toxic Industrial Material) that nowadays represent a major issues in our Society due to their diffusion and potential impact. The problem is addressed by comprehensive models in order to provide an effective support to high level Decision Makers thanks to the use of the innovative architecture proposed, based on Strategic Engineering approach. A case study and related Models and AI Solutions are presented to validate the proposed concepts in a specific case study. It is proposed an innovative architecture where the use of IA (Intelligent Agents) and M&S (Modeling and Simulation) are combined to process Big Data arriving from sensor networks and digital systems and to support decision by evaluating alternative COAs (Courses of Actions) were population, countermeasures as well as potential antagonists are simulated by IA together with physical models of critical phenomena (e.g. hazardous material spills, explosions, contamination, fires).