We describe a method to match 3D polygonal geometry models using their internal skeleton graphs. These graphs carry information about the overall shape of the model. In order to m...
We analyze the complexity of propositional kernel resolution (del Val 1999), a general method for obtaining logical consequences in restricted target languages. Different choices ...
We introduce Game networks (G nets), a novel representation for multi-agent decision problems. Compared to other game-theoretic representations, such as strategic or extensive for...
This paper presents a simulation study carried out to solve a problem of manufacturing process reengineering. The specific company in which the study took place is a medium size m...
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...