Fulvio Frapolli

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This paper describes a distributed algorithm to construct and maintain a peer-to-peer network overlay with bounded diameter. The proposed approach merges a bio-inspired self-organized behavior with a pure peer-to-peer approach, in order to adapt the overlay to underlying changes in the network topology. Ant colonies are used to collect and spread(More)
In this paper we describe Bl̊atAnt, a new algorithm to create overlay networks with small diameters. Bl̊atAnt is a fully distributed and adaptive algorithm inspired by Ant Colony Optimization (ACO), which targets dynamic and evolving networks without requiring a global knowledge. Simulation results show that our approach results in networks with a bounded(More)
In respect to a state-of-the-art on intelligent tabletop games, this paper introduces a novel challenge that is the creation of a flexible and interactive tabletop framework in which game rules are redefinable by players at any instant of the game. This article discusses the importance of this aspect in the acceptance and personalization of the game, which(More)
When comparing digital board games with their traditional counterparts, it becomes clear that certain features such as graphics, mundane task automation or saving and restoring the state of the game have been greatly improved. Nonetheless, the transition to a digital environment leads to a loss of the flexibility that makes traditional board games(More)
Existing research on computer enhanced board games is mainly focused on user interaction issues and look-and-feel, however, this overlooks the flexibility of traditional board games when it comes to game rule handling. In this respect, the authors argue that successful game designs need to exploit the advantages of the digital world as well as retaining(More)
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