In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence an...
Abstract. Recently, component-based application developments to improve the software productivity and reusability have attracted our attention. The components are parts for buildin...
We present a family of methods for speeding up distributed locks by exploiting the uneven distribution of both temporal and spatial locality of access behaviour of many applicatio...
In recent years, large distributed sensor networks have emerged as a new fast-growing application domain for wireless computing. In this paper, we present a distributed applicatio...
Sagnik Bhattacharya, Hyung Kim, Shashi Prabh, Tare...