Will You Still Love Me (Duckworth home computing) by Peter Gerrard

By Peter Gerrard

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By Peter Gerrard

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We evaluated our approach in a simulation of a file sharing system in a peer-topeer network. Our experiments show that the system where agents communicate their experiences (recommendations) outperforms the system where agents do not communicate with each other, and that a differentiated trust adds to the performance. Future work includes adding more aspects in the Bayesian networks, trying to find the key parameters that influence the system performance, and testing the system under other performance measures, for example, how fast an agent can locate a trustworthy service provider.

Org/RDF/. 10. org/PICS/. 11. org/. com Abstract. We propose Personal Data Backbone (PDB) to provide Passport-like services over an agent-based peer-to-peer network. The main objective is to bring the control of personal data back to their owner. By applying technologies in agents and in peer-to-peer networks, PDB enables flexible and secure personal data acquisition in a spontaneous network formed by participating users. 1 Introduction Many information services and applications need personal data for authentication and other application-specific purposes when users sign on their systems.

Sometimes we only need to know the trust in some specific aspect. This bears parallel with work on distributed user modeling and purpose-based user modeling [9], [10]. Yu and Singh [11], [12] focus on how to use social networks to gather information to compute agents’ reputation. They do not deal with differentiated trust and reputation. Cornelli’s work [7] is on the area of file sharing in peerto-peer networks. However, it concentrates on how to prevent the attacks to the reputation system and does not discuss how agents model and compute trust and reputation.

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