In this paper we explore whether an auctioneer/buyer may benefit from introducing his transformability relationships (some goods can be transformed into others at a transformation...
This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attribut...
This paper presents an architecture for the generation of spoken monologues with contextually appropriate intonation. A twotiered information structure representation is used in t...
The concept of modularity appears to be crucial for many questions in the field of Artificial Life research. However, there have not been many quantitative measures for modularit...
This paper discusses the dynamic of context through the use of a context-based formalism called contextual graphs that has been initially developed in the SART application for the ...