Stochastic Model of Cognitive Agents Learning to Cross a Highway

We describe a stochastic model of simple cognitive agents (“creatures”) learning to cross a highway. The creatures are capable of experiencing fear and/or desire to cross and they use an observational learning mechanism. Our simulation results are consistent with real life observations and are affected by the creatures’ fears and desires, and the conditions of the environment. The transfer of the knowledge base acquired by creatures in one environment to the creatures operating in another one improves creatures’ success of crossing a highway.