  Computer based models describing pedestrian behavior in an emergency
evacuation play a vital role in the development of active strategies that
minimize the evacuation time when a closed area must be evacuated. The
reference model has a hybrid structure where the dynamics of fire and smoke
propagation are modeled by means of Cellular Automata and for simulating
people's behavior we are using Intelligent Agents. The model consists of two
sub-models, called environmental and pedestrian ones. As part of the pedestrian
model, this paper concentrates in a methodology that is able to model some of
the frequently observed human's behaviors in evacuation exercises. Each agent
will perceive what is happening around, select the options that exist in that
context and then it makes a decision that will reflect its ability to cope with
an emergency evacuation, called in this work, behavior. We also developed
simple exercises where the model is applied to the simulation of an evacuation
due to a potential hazard, such as fire, smoke or some kind of collapse.
