Learning and adaptation in physical heterogeneous teams of robots

In this paper we present a novel approach to assigning roles to robots in a team of physical heterogeneous robots. Its members compete for these roles and get rewards for them. The rewards are used to determine each agent’s preferences and which agents are better adapted to the environment. These aspects are included in the decision making process. Agent interactions are modelled using the concept of an ecosystem in which each robot is a species, resulting in emergent behaviour of the whole set of agents. One of the most important features of this approach is its high adaptability. Unlike some other learning techniques, this approach does not need to start a whole exploitation process when the environment changes. All this is exemplified by means of experiments run on a simulator. In addition, the algorithm developed was applied as applied to several teams of robots in order to analyse the impact of heterogeneity in these systems

Verdaguer a Folgueroles: un recurs local ben aprofitat estudi d'un sistema local territorial

És més que evident la relació de Jacint Verdaguer amb el poble de Folgueroles. Tanmateix, aquest estudi mostra llur relació des d’una nova perspectiva, en la qual el desenvolupament territorial n’és la base. Folgueroles percep quelcom d’identitari en el poeta i el fa esdevenir recurs clau per tirar endavant un projecte de poble. Mitjançant la descripció del Sistema Local Territorial sorgit a Folgueroles al voltant de la figura del poeta, es defineix aquest projecte, els seus actors principals i les seves relacions, i, finalment, se’n farà una valoració