Effects of agents’ fear, desire and knowledge on their success when crossing a CA based highway

Abstract

We describe a model of a population of simple autonomous cognitive agents with fear and desire learning to cross a CA based highway. The agents use an "observational social learning" mechanism in their decision to cross the highway or not. We study how agents’ attributes and their accumulated observational knowledge affect their success of crossing the highway under various traffic conditions. We consider the case when agents are not allowed to change their crossing point and when they are allowed to change it.