DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
Several recent studies have investigated the problem of object feature extraction with artificial whiskers. Many of these studies have used an approach in which the whisker is rot...
Constructing and executing distributed applications that can adapt to their current operating context, in order to maintain or enhance Quality of Service (QoS) attribute levels, ar...
Sten A. Lundesgaard, Arnor Solberg, Jon Oldevik, R...
: RDF-based tools promise to provide a base for reasoning about metadata and about situated data—data describing entities situated in time and space—that is superior to alterna...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...