The problem of repair and maintenance of complex systems, such as aircraft, cars and trucks is certainly a nontrivial task. Maintenance technicians must use a great amount of knowl...
This paper presents a multiagent-system for integrating ALICE: a real-life, distributed, large-scale particle physics experiment of the LHC project at CERN. The work is concerned ...
We describe novel approaches to multimedia analysis and synthesis problems. We first present the experiential sampling technique which has the ability to focus on the analysis task...
In this paper, we combine for the first time the methods of dynamic mechanism design with techniques from decentralized decision making under uncertainty. Consider a multi-agent s...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...