Matteo Vasirani

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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 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)
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)
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)
This paper provides a brief overview of the field of coordination in multiagent systems, and outlines its relation to current efforts working towards a paradigm for smart, next-generation distributed systems, where coordination is based on the concept of agreement between computational entities. Two examples are provided to visualize the types of mechanisms(More)
The efficient utilisation of large and distributed socio-technical systems is a difficult problem. Centralised approaches can be computationally intractable, unresponsive to change and require extensive knowledge of the underlying system. In the last decade, distributed approaches based on artificial markets have been proposed as a paradigm for the design(More)
& Future urban road traffic management is an example of a socially relevant problem that can be modeled as a large-scale, open, distributed system, composed of many autonomous interacting agents, which need to be controlled in a decentralized manner. In this context, advanced, reservation-based, intersection control—where autonomous vehicles controlled(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)