Integrating contributions received from other agents is an essential activity in multi-agent systems (MASs). Not only must related contributions be integrated together, but the co...
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
The proliferation of wireless and mobile devices has fostered the demand of context aware applications. Location is one of the most significant contexts. Multilateration, as a bas...
This paper concerns the task of removing redundant information from a given knowledge base, and restructuring it in the form of a tree, so as to admit efficient problem solving ro...
—In this work we propose a novel tree representation for RLC circuits. Genetic programming based on the tree representation is described and applied to passive filter synthesis p...