Stefano Fante

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Rideshare systems allow a substantial number of people to mutually benefit from using less cars in a specific region. This would rationalize energy consumption, save money, and decrease traffic jams and pollution. However, accessibility issues have prevented these architectures from being widely spread. In this paper, we present an agent-based rideshare(More)
People tend to form social networks within geographical areas. This can be explained by the fact that generally geographical localities correspond to common interests (e.g. students located in a university could be interested to buy or sell textbooks adopted for a specific course, to share notes, or just to meet together to play basketball). Cellular phones(More)
People tend to form social networks within specific geographical areas. This is motivated by the fact that the geographical locality corresponds generally to common interests and opportunities offered by the people active in the area (e.g. students of a university could be interested to buy or sell textbooks adopted for a specific course, to share notes, or(More)
Independence, intelligence and interactiveness are making software agents strongly approach the development of advanced service applications for both, pocket and fixed computing devices. In this paper we present an interactions protocol that is used by intelligent agents operating in a dynamic environment. In particular, we focus our research on the(More)
In this paper we present a new negotiation protocol that assists multi-agent systems to differently approach the achievement of complex tasks. In particular, we narrow our research scope to focus on the situation where a multi-agent system is serving lightweight devices through advanced communication methods (e.g., Bluetooth). Like many other schemes, our(More)
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