Self-adapting software adapts its behavior in an autonomic way, by dynamically adding, suppressing and recomposing components, and by the use of computational reflection. One way t...
In Alternating-time Temporal Logic (atl), one can express statements about the strategic ability of an agent (or a coalition of agents) to achieve a goal φ such as: “agent i ca...
Caustics produce beautiful and intriguing illumination patterns. However, their complex behavior make them difficult to simulate accurately in all but the simplest configurations....
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...