In this paper we investigate experimentally the performance of Marginal Cost (MC) and Shapley Value (SH) mechanisms for sharing the cost of multicast transmissions. We implement a...
Knowledge models are structured representations of knowledge using symbols to represent pieces of knowledge and relationships between them, while a knowledge building community inv...
Abstract— In this paper we study online gait optimization for modular robots. The learning strategy we apply is distributed, independent on robot morphology, and easy to implemen...
David Johan Christensen, Ulrik Pagh Schultz, Kaspe...
We study the problem of SPARQL query optimization on top of distributed hash tables. Existing works on SPARQL query processing in such environments have never been implemented in a...
This study seeks to provide scalable and distributed algorithms to solve the resource allocation problem within an agent community. We propose an approach that can be applied to a...