Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
Research into the evolution of grammar requires that we employ formalisms and processing mechanisms that are powerful enough to handle features found in human natural languages. Bu...
Dung's argumentation approach is a unifying approach which has played an influential role on argumentation research and Artificial Intelligence (AI). Based on a proper repres...
Abstract. We study the problem of checking the competence of communicative agents operating in a global society in order to receive and offer electronic services. Such a society wi...