Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Software systems are subject to increasing complexity and in need of efficient structuring. Multi-agent system research has come up with approaches for an organization-oriented co...
This paper approaches the issue of coordination of highly autonomous Automated Guided Vehicles (AGVs) working on an automated factory. These vehicles are used for goods delivery t...
In this paper we shortly describe the Living Systems Autonomic Business Process Management (LS/ABPM) software product. LS/ABPM is an integrated environment, based on J2EE, Eclipse...
Giovanni Rimassa, Martin E. Kernland, Roberto Ghiz...