We have been developing an approach for the distributed coordination of heterogeneous, autonomous agents. This approach takes as input (a) agent skeletons, giving compact descript...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
The IAGO Project explores the question of whether a software model, in the form of a computational model of cognitive behavior, can contribute to better anticipation of asymmetric...
In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization techniq...
Stefan Wagner 0002, Michael Affenzeller, Ismail Kh...
We have developed a model-based, distributed architecture that integrates diverse components in a system designed for lunar and planetary surface operations: an astronaut’s spac...
William J. Clancey, Maarten Sierhuis, Charis Kaski...
Though multiagent systems (MASs) are being increasingly used, few methods exist to ensure survivability of MASs. All existing methods suffer from two flaws. First, a centralized su...
In this extended abstract I describe some norm typolgies developed within sociololgy and social philosophy. Using these typologies we can determine the bounderies of the different...
Abstract. Weighted voting games are a popular model of collaboration in multiagent systems. In such games, each agent has a weight (intuitively corresponding to resources he can co...
Edith Elkind, Georgios Chalkiadakis, Nicholas R. J...
Abstract. The field of Software Product Lines (SPL) emphasizes building a family of software products from which concrete products can be derived rapidly. This helps to reduce time...
Service-Oriented Computing and Agent Technology are nowadays two of the most active research fields in distributed and open systems. However, when trying to bridge the two worlds,...