Mobile agents are a useful paradigm for the development of complex Internet applications. However, the effective development of mobile agent applications requires suitable models ...
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
Aaron C. Courville, Nathaniel D. Daw, David S. Tou...
The contribution of intelligent agents for the human team performance is a challenging problem. This paper introduces a study to help clarifying this issue, starting with the moti...
We investigate the effect of incomplete information in a model where a start-up with a unique idea and technology pioneers a new market but will eventually be expelled from the ma...
The paper presents the use of signal regulatory networks, a biologically-inspired model based on gene regulatory networks. Signal regulatory networks are a way of understanding a ...