Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
We present a utility-driven rationality and a complementary-driven rationality based model, relative to multiple partner coalitions, motivated by relations of dependence and instru...
—This paper disscuses latency-constrained video transmission over high-speed wireless personal area networks. Low-power single-layer video compression is proposed as an alternati...
Eugeniy Belyaev, Andrey M. Turlikov, Anna Ukhanova
We propose and analyze two strategies to learn over unordered pairs with kernels, and provide a common theoretical framework to compare them. The strategies are related to methods...
A rational P2P node may decide not to provide a particular resource or to provide it with degraded quality. If nodes are very likely to behave this way, or if the failure of an P2...
Andrew Roczniak, Abdulmotaleb El-Saddik, Ross Kouh...