In discrete dynamical systems change results from actions. As such, given a set of observations, diagnoses often take the form of posited events that result in the observed behavi...
Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlrait...
—The Multicanonical Monte Carlo (MMC) technique is a new form of adaptive importance sampling (IS). Thanks to its blind adaptation algorithm, it does not require an in-depth syst...
Alberto Bononi, Leslie A. Rusch, Amirhossein Ghazi...
Reasoning on the Web is gaining in importance because of emerging Web applications such as contextadaptive Web systems (e.g. eLearning, recommender, personalised (multi-)media, an...
ABSTRACT. Reasoning with diagrams: cognitive and computational perspectives. Diagrammatic, analogical or iconic representations are often contrasted with linguistic or logical repr...
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...