Abstract. Enterprise modelling focuses on the construction of a structured description, the so-called enterprise model, which represents (a subset of) the aspects relevant to the a...
Marco Rospocher, Chiara Ghidini, Luciano Serafini,...
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
We present a multi-agent formalism based on extended answer set programming. The system consists of independent agents connected via a communication channel, where knowledge and be...
Davy Van Nieuwenborgh, Marina De Vos, Stijn Heyman...
The current implementation of situation interpretation metrics (SIMs) in context-based reasoning (CxBR) simulations makes it difficult to effectively and efficiently characterize ...