We consider auction design in a setting with costly preference elicitation. Well designed auctions can help to avoid unnecessary elicitation while determining efficient allocations...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
We present a framework for validating the compliance of a design with a given architecture. Our approach is centered on the concept of misinterpretations. These include missing be...
This paper presents a new design methodology able to bridge the gap between an abstract specification and a heterogeneous recone architecture. The EPICURE contribution is the resu...
Jean-Philippe Diguet, Guy Gogniat, Jean Luc Philip...
Agents are a useful abstraction frequently employed as a basic building block in modeling service, information and resource sharing in global environments. The connecting of reques...