Multi-agent systems are already a focus of studies for more than 25 years. Despite
substantial effort of an active research community, modeling of multi-agent systems still lacks …

The design of complex engineered systems is challenging, especially in early design stages
due to the complex emergent behavior that often results in unforeseen failures. Emergent …

The goal of this paper is to explore the notion of complex system and, in particular the
emergence phenomenon, in order to see which lessons could be learned for both …

The history of agent-based models started in the 1970ies with singular yet path-breaking
examples such as the Segregation model by T. Schelling [Schelling, 1971]. From end of the …

MapReduce has gained in popularity as a distributed data analysis paradigm, particularly in
the cloud, where MapReduce jobs are run on virtual clusters. The provisioning of …

We solve problems and make decisions all day long: at home, at work, while playing. Some
problems and decisions are very challenging: What is the best sequence of actions to reach …

For two decades, multi-agent systems have been an attractive approach for problem solving
and have been applied to a wide range of applications. Despite the lack of generic …

This paper highlights the benefits of using cooperation as the engine of adaptation and
robustness for multi-agent systems. Our work is based on the AMAS (Adaptive Multi-Agent …

This paper describes an automated process for designing mechanical systems based on the
adaptive multi-agent system (AMAS) theory. At the beginning of the design process, the …

This paper presents an approach based on cooperative self-organization for artificial
systems, in order to tackle openness and dynamics. In this work, cooperation is used as a …