In this paper, we extend our earlier work on modelling the mental states of PRS-like agents by considering the dynamics of belief and modelling of action attempts. The major constr...
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
Induction of recursive theories in the normal ILP setting is a complex task because of the non-monotonicity of the consistency property. In this paper we propose computational solu...
Floriana Esposito, Donato Malerba, Francesca A. Li...
This paper presents an application of information theory to identify sets of key players in social networks. First, we define two entropy measures that we use to analyze the struct...
We define logic programs with defaults and argumentation theories, a new framework that unifies most of the earlier proposals for defeasible reasoning in logic programming. We pres...
Hui Wan, Benjamin N. Grosof, Michael Kifer, Paul F...