Using a personalized, adaptive and cooperative multiagent system to predict protein secondary structure
Alessandro Orro, Eloisa Vargiu, Masarath Saba, Gianmaria Mancosu · 2005
In this paper, a generic architecture designed to support the implementation of applications agent-based, aimed at retrieving information among di#erent Internet sources is presented. Information is filtered and organized according to personal interests explicitly stated by the user. User profiles are improved and refined throughout time by suitable adaptation techniques. The overall architecture has been called PACMAS, being a support for implementing Personalized, Adaptive, and Cooperative MultiAgent systems. PACMAS agents are autonomous and flexible, and could be personalized, adaptive and cooperative depending on the given application. The peculiarities of the architecture are highlighted by illustrating a relevant case study aimed at predicting protein secondary structures.