Multi-agent Systems in Modeling and Simulation of Fire Spread

This paper presents a conceptual study for the phenomenon of fire spread. The proposed study is based on simulations using the RoboCup Rescue environment. Using a socio-cognitive approach, it can be used in three dimensions: (i) assist in proposing new structures or alternatives to situations of collective panic, checking the viability of their existence and operation; (ii) obtain a better understanding of the reasons social, anthropological, psychological, etc. that subsidize and direct the type of collective behavior in crowd panic; (iii) assist in decision making aimed at minimizing the loss of life in a situation of spreading

fire. One of the challenges to be overcome in this research is the integration of the different theories and

computational environments in order to open paths for future researches. Making possible a further study

on phenomenon of panic in crowds in danger situation.