My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
away concepts from the surface form of the text. The authors argue that while there has been research into automatic classification, general classification schemes are unsuitable f...
Programming technologies have improved continuously during the last decades, but from an Information Systems perspective, some well-known problems associated to the design and impl...
Highly optimized reasoning support for Description Logics (DLs) has been developed during the past years. This paper presents our efforts to develop a reasoner suitable for mobile ...