Abstract. Many long-lived and distributed systems must remain available yet evolve over time, due to, e.g., bugfixes, feature extensions, or changing user requirements. To facilit...
Abstract— Following Mark Weiser’s vision of ubiquitous computing and calm technology, computer systems should run in the background, preferably without the user noticing it at ...
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
We propose that the trust an agent places in another agent declaratively captures an architectural connector between the two agents. We formulate trust as a generic modality expre...
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...