We consider the problem of representing, in a space-efficient way, a function f : S → Σ such that any function value can be computed in constant time on a RAM. Specifically, ou...
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Abstract Web services choreography describes global models of service interactions among a set of participants. For an interaction to be executed, the participants taken part in it...
Sensor networks can be used for event alarming applications. To date, in most of the proposed schemes, the raw or aggregated sensed data is periodically sent to a data consuming c...
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...