By Thanasis G. Papaioannou, George D. Stamoulis (auth.), Zoran Despotovic, Sam Joseph, Claudio Sartori (eds.)
This booklet constitutes the completely refereed post-proceedings of the 4th foreign Workshop on brokers and Peer-to-Peer Computing, AP2PC 2005, held in Utrecht, Netherlands, on July twenty fifth, 2005, within the context of the 4th overseas Joint convention on independent brokers and Multi-Agent structures, AAMAS 2005.
The thirteen revised complete papers offered have been conscientiously reviewed and chosen from 27 submissions; they're totally revised to include reviewers' reviews and discussions on the workshop. the quantity is equipped in topical sections on belief and popularity, P2P infrastructure, semantic infrastructure, in addition to neighborhood and cellular applications.
Read Online or Download Agents and Peer-to-Peer Computing: 4th International Workshop, AP2PC 2005, Utrecht, The Netherlands, July 25, 2005. Revised Papers PDF
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Additional resources for Agents and Peer-to-Peer Computing: 4th International Workshop, AP2PC 2005, Utrecht, The Netherlands, July 25, 2005. Revised Papers
In such a case, an inconsistency proof regarding the disrecommender Y becomes available. Before updating the beliefs regarding Y , the disrecommendee (and self-recommender) Z has to be rehabilitated from its downgrading of equation (2). This is done by inverting the equation based on the present type belief regarding Y . An inconsistency proof evinces that an entity is tampered. , pX (NY ) = 0. 5 Evaluation The previous sections have shown how a distributed reputation system has to be redesigned in order to account for hard evidence and norms.
Simulation results show that the proposed scheme eﬀectively restrains the spreading of untrustworthy ﬁles even in cases where malicious peers change their identities. Simulation results show that the overall message cost for managing trust data is relatively low. We also propose a replication scheme so as to avoid the loss or corruption of trust data. 1 Introduction In P2P systems, since no peer has the power or responsibility to monitor and restrain the others’ behavior, there is no method to verify the trustworthiness of shared ﬁles.
If this benefit is higher than the disrecommendation costs ci , we obtain a coordination game. This means that Y would decide to do as Z if it knew how Z decides and vice versa. , (DR, DR) and (¬DR, ¬DR). Furthermore, the equilibrium in i mixed strategies consists of Y and Z disrecommending with the probability 2c b f . This equilibrium is unstable since, whenever Y deviates from this equilibrium strategy by increasing (decreasing) the probability of disrecommending, Z decides to always (never) disrecommend.