Human drivers have limited and time-varying cognitive resources when making decisions in real-world traffic scenarios, which often leads to unique stochastic behaviors that can not be explained by perfect rationality assumption, a widely accepted premise modeling driving presume rationally make maximize their own rewards under all circumstances. To explicitly address this disadvantage, study pr...

Because of random nature of many dependent variables in coastal engineering, treatment of effective parameters is generally associated with uncertainty. Numerical models are often used for dynamic analysis of complex structures, including mechanical systems. Furthermore, deterministic models are not sufficient for exact anticipation of structure’s dynamic response, but probabilistic models...

We contrast a standard deterministic signaling game with one where the signal-generating mechanism is stochastic. With stochastic signals a unique equilibrium emerges that involves separation and has intuitive comparative-static properties as the degree of signaling depends on the prior type distribution. With deterministic signals both pooling and separating configurations occur. Laboratory da...