Agents and Peer-to-Peer Computing: 4th International - download pdf or read online

By Thanasis G. Papaioannou, George D. Stamoulis (auth.), Zoran Despotovic, Sam Joseph, Claudio Sartori (eds.)

This ebook 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 foreign Joint convention on independent brokers and Multi-Agent platforms, AAMAS 2005.

The thirteen revised complete papers offered have been conscientiously reviewed and chosen from 27 submissions; they're absolutely revised to include reviewers' reviews and discussions on the workshop. the amount is prepared in topical sections on belief and acceptance, P2P infrastructure, semantic infrastructure, in addition to neighborhood and cellular applications.

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Extra info for Agents and Peer-to-Peer Computing: 4th International Workshop, AP2PC 2005, Utrecht, The Netherlands, July 25, 2005. Revised Papers

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Tampering costs and compliance costs. In the following, we argue that – contrary to popular belief – tampering does incur some costs (tampering costs) and that, as a consequence, system design is disburdened of some difficulties. A human principal may tamper his entity either by creating a tampered version of the software or by adopting the tampered version of others. Both options violate laws for a couple of reasons: (1) Tampering includes re-engineering of the software. In the US, this is explicitly forbidden by the Digital Millennium Copyright Act if the software is protected by a technical means [9].

A) Impact of disrecommending first and (b) the Disrecommendation Game regarding Z’s normativeness is degraded since it could be the originator of the defection. As a result of the degradation, X becomes less willing to transact with Z. Hence, the fact of being disrecommended incurs some costs cd for Z. On the other hand, Y has to bear the costs ci of issuing the non-repudiable disrecommendation and handing it over to X. Consequently, the disrecommendation appears to be detrimental for both the Y and Z.

The reputation level of each file is decided by the following two conditions. |P ositive| + |N egative| >= T (1) P ositive >= P |P ositive| + |N egative| (2) The two parameters, T and P, are system-wide parameters. The parameter T is a data confidence threshold, which represents the minimum number of evaluations required and P is a trust threshold, which represents the ratio of positive evaluations. The files that do not satisfy Condition (1) are classified as unknown. Y. Lee et al. Namely, the number of evaluations are not enough to decide whether the file is trustworthy or not.

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