I am making a model on how robots choose between two shelter sites once they are evicted from their home. I will provide a brief description on the model.
Based on the model, there are three distinct phases on choosing the shelter where the robots finally settle in;
Phase ‘Search’ = Robots will search for potential shelter sites to move in this phase.
Phase ‘Assessment’ = Robots will assess if the potential shelter sites they found is good or not.
Phase ‘Recruitment’ = Robots will take/convince other robot nest mates to come along with them to the newly found nest.
These are the three distinct stages in the decision making process. According to the model we assume that the robot have to choose a shelter, once the time since she is evicted from nest is greater than the threshold time to pick a shelter. The threshold time to pick a shelter is dependent on the quality of the shelter .Essentially a robot will take another robot to the shelter if the time passed since she is removed from her home is greater than a threshold time to pick a home. So if she finds a good shelter first, she will initiate recruitment to the good shelter faster.
Question: From data, i calculated the Search duration, Assessment duration and Recruitment duration. From that i found that Search duration, Assessment duration and Recruitment duration to good shelter following an exponential distribution. Can anyone suggest me the implication of these distributions to the model? Any help will be appreciated.