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Urban road traffic management is an example of a socially relevant problem that can be modelled as a large-scale, open, distributed system, composed of many autonomous interacting agents, which need to be controlled in a decentralized manner. Most models for urban road traffic management rely on control elements that act on traffic flows. Dresner and Stone(More)
In the last decade, economic approaches based on computational markets have been proposed as a paradigm for the design and control of complex sociotechnical systems, such as urban road traffic systems. The control problem of an urban road traffic system can be modeled as a distributed resource-allocation problem to apply market-based techniques as solution(More)
Traffic congestion in urban road networks is a costly problem that affects all major cities in developed countries. To tackle this problem, it is possible (i) to act on the supply side, increasing the number of roads or lanes in a network, (ii) to reduce the demand, restricting the access to urban areas at specific hours or to specific vehicles, or (iii) to(More)
The robustness of smart grids is challenged by unpredictable power peaks or temporal demand oscillations that can cause blackouts and increase supply costs. Planning of demand can mitigate these effects and increase robustness. However, the impact on consumers in regards to the discomfort they experience as a result of improving robustness is usually(More)
Understanding and controlling a complex system like traffic is not a trivial task. To this aim, many market-based methods have been applied to the design and the management of such systems, by defining the "rules of the game" and trying to enforce a desired global outcome. We model traffic as a computational economy, where drivers trade with the intelligent(More)
In this paper we focus on the problem of having a multitude of very simple mobile robots self-organize their relative positions so as to obtain a variety of spatial configurations. The problem has a variety of applications in mobile robotics, modular robots, sensor networks, and computational self-assembly. The approach we investigate in this paper attempts(More)
Information and communication technologies offer great potential for society to quickly adopt e-services for economic and social development. Healthcare activities based on these technologies (e-health) are probably the most prominent of these e-services. However, e-health is evolving into such entities as m-health (mobile) or u-health (ubiquitous), which(More)
An agent-based organizational model for a smart energy system is introduced relying on a dynamic coalition formation mechanism for virtual power plants. Central to this mechanism we propose a solution concept that stems from the existent stability notions in coalitional games. The process is intended as an open-ended organizational adaptation, concerned(More)