A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
We describe a very large scale distributed robotic system, involving a team of over 100 robots, that has been successfully deployed in large, unknown indoor environments, over ext...
The functional characteristics of market-based solutions are typically best observed through the medium of simulation, data-gathering and subsequent visualization. We previously d...
Peter Gradwell, Michel A. Oey, Reinier J. Timmer, ...
— In a typical mobile ad hoc network, mobile computing devices wander autonomously and communicate via temporary links in a self-organized computing system without any central ad...
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...