Generally, swarm models and algorithms consider synchronous agents, i.e., they act simultaneously. This hypothesis does not fit multi-agent simulators nor robotic systems. In this...
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...
This paper studies how software agents influence the market behavior of human traders. Programmed traders with a passive arbitrage seeking strategy are introduced in a double auct...
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
In this paper, we present a mechanism to fly a swarm of UAVs with the aim of establishing a wireless backbone over a pre-specified area. The backbone is aimed at connecting interm...