In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
A suitable software architecture –for example in the area of distributed application– can be composed of known-to-work solutions. These are also known as design patterns. Howev...
The distributed embedded systems industry is poised to leverage emerging real-time operating systems, such as Inferno, Windows CE 2.0, and Palm OS, to support mobile communication...
We survey some issues that relate to context dependence and context sensitivity in the development of software, particularly in relation to information systems by defining a range...
After two decades of research on automated discovery, many principles are shaping up as a foundation of discovery science. In this paper we view discovery science as automation of ...