Modular design methodologies, which decompose large and complex systems into components that are relatively easy to develop and maintain, have been widely adopted in the software ...
In this study we focus on the specification and assessment of Stochastic Petri net (SPN) models to evaluate the design of an embedded system for reliability and availability. The ...
Frederick T. Sheldon, Stefan Greiner, Matthias Ben...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
— This paper applies the modified Fisher Information Matrix (FIM) motion algorithm previously proposed by the authors to the task of locating a circular biochemical source. We d...