Abstract. In this paper we discuss the problem of handling many classification schemes within the context of a single digital library concurrently, which we term multischeming. We...
Abstract. Distributed case-based reasoning architectures have the potential to improve the overall performance of case-based reasoning systems. In this paper we describe a collabor...
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Abstract. This paper presents a hybrid architecture that facilitates the incurporation of a case-based planning system as the reasoning motor for a deliberative agent. This archite...
Javier Bajo, Dante I. Tapia, Ana de Luis, Sara Rod...
Abstract. Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses o...