By Thanasis G. Papaioannou, George D. Stamoulis (auth.), Zoran Despotovic, Sam Joseph, Claudio Sartori (eds.)
This e-book 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 self sustaining brokers and Multi-Agent platforms, AAMAS 2005.
The thirteen revised complete papers provided have been rigorously reviewed and chosen from 27 submissions; they're totally revised to include reviewers' reviews and discussions on the workshop. the amount is geared up in topical sections on belief and popularity, P2P infrastructure, semantic infrastructure, in addition to group 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 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 .
8 and T is 10, among them the manager only includes ﬁle F10 (classiﬁed as unknown) and ﬁle F6 (classiﬁed as trustworthy). 3 Download and Evaluation In this phase, a peer selects, downloads, uses a ﬁle and evaluates the trustworthiness of the provider and the ﬁle. The peer received the Response selects one among the ﬁles in the Response. When the peer selects a ﬁle whose level is trustworthy, it randomly selects one of its providers. When it chooses a ﬁle whose level is unknown, it estimates the ﬁle reputation by referencing its owner’s reputation.
In the following, we denote the subjective (i) (t) (n) probability pX (NY |SY , γ) that a strategic entity intends norm abidance with pX (γ). If the transaction value v is the main driving force of context-dependent behavior, a simple estimate of this probability is e−κv with some positive parameter κ. This type-tointention mapping incorporates context-dependence more seamlessly than the existing behavioral approaches. This is because it solves their conflict between imprecision of aggregating contexts and overhead of separate context categories.