This paper explains the structure of a project repository, which enables you to trace business processes and business rules to the architecture and design of the software system. T...
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...
Declarative Networking has been recently promoted as a high-level programming paradigm to more conveniently describe and implement systems that run in a distributed fashion over a ...
Building agents for a scenario such as the RoboCup simulation league requires not only methodologies for implementing high-level complex behavior, but also the careful and efficien...
We describe and evaluate a strategy for declustering the parity encoding in a redundant disk array. This declustered parity organization balances cost against data reliability and...