Abstract. Fuzzy Description Logics (f-DLs) have been proposed as formalisms capable of capturing and reasoning about imprecise and vague knowledge. The last years, research in Desc...
Jeff Z. Pan, Giorgos B. Stamou, Giorgos Stoilos, E...
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
Abstract. The Web is a vibrant environment for innovation in computer science, AI, and social interaction; these innovations come in such great number and speed that it is unlikely...
The task of parse disambiguation has gained in importance over the last decade as the complexity of grammars used in deep linguistic processing has been increasing. In this paper ...
Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for man...