Despite a growing awareness of security issues in networked computing systems, most development processes used today still do not take security aspects into account. To address th...
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
iary models in order to bridge the semantic gap between high-level, abstract user requirements and low-level, concrete programs and to support a stepwise refinement process. This d...
Architectural principles such as loose coupling are the key drivers behind the adoption of service-oriented architectures. Service-oriented architectures promote concepts such as c...
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...