We describe the Enhanced Evolutionary Tabu Search (EE-TS) local search technique. The EE-TS metaheuristic technique combines Reactive Tabu Search with evolutionary computing eleme...
In this paper, we argue that allowing self-interested agents to activate social institutions during run-time can improve the robustness (i.e., stability, cooperation or fairness) ...
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...
The main drive for Model-Driven Architecture is that many software applications have to be deployed on a variety of platforms. The way MDA achieves this is by transforming a platfo...
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...