Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Many systems design, configuration, runtime and management decisions must be made from a large set of possible alternatives. Ad hoc heuristics have traditionally been used to make...
Kimberly Keeton, Terence Kelly, Arif Merchant, Cip...
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
Abstract. This paper presents an online detection and resolution method for feature interactions among integrated services in home network systems. To achieve reasonable online det...
We propose a meta-framework called ‘Plastik’ which i) supports the specification and creation of runtime component-framework-based software systems and ii) facilitates and mana...