In this paper we demonstrate how a neuro-robot situated in an environment containing parallelepiped objects that vary in shape, size, and orientation can develop an ability to recognize and label the category of the objects and generalize to new objects. The analysis of the dynamical system constituted by the robot and the environment in interaction allowed us to understand how adapted agents solve the categorization problem at the level of the detailed mechanisms and at the level of the general strategy.
Development of Abstract Categories in Embodied Agents / G., Morlino; Sterbini, Andrea; S., Nolfi. - (2009), pp. 213-221. (Intervento presentato al convegno 10th European Conference on Artificial Life (ECAL 2009) tenutosi a Budapest, Hungary nel Sept.13-16 2009) [10.1007/978-3-642-21283-3_27].
Development of Abstract Categories in Embodied Agents
STERBINI, Andrea;
2009
Abstract
In this paper we demonstrate how a neuro-robot situated in an environment containing parallelepiped objects that vary in shape, size, and orientation can develop an ability to recognize and label the category of the objects and generalize to new objects. The analysis of the dynamical system constituted by the robot and the environment in interaction allowed us to understand how adapted agents solve the categorization problem at the level of the detailed mechanisms and at the level of the general strategy.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
