Article ID Journal Published Year Pages File Type
490228 Procedia Computer Science 2014 11 Pages PDF
Abstract

We describe a model of simple cognitive agent (naïve creature) learning to cross a highway. The naïve creature may experience fear and/or desire when crossing a highway and is capable of evaluating crossing strategies for adoption or rejection. Our simulations show that the creatures’ population success of crossing a single lane unidirectional traffic highway is influenced by the conditions of the environment; i.e. the cars density, the presence or absence of the “erratic drivers”, and by the levels of the fear and/or desire each creature may experience. Creatures’ ability to move along the highway and preservation of the knowledge base from one learning environment to another one improves creatures’ population success of crossing the highway.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)