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 reliant brokers and Multi-Agent platforms, 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 prepared in topical sections on belief and acceptance, 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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Extra resources for Agents and Peer-to-Peer Computing: 4th International Workshop, AP2PC 2005, Utrecht, The Netherlands, July 25, 2005. Revised Papers
Y. Lee et al. Table 1. File Repository IDkey IDcontent File Reputation (+,-) List of ﬁle owners K8 F1 (30,2) N5 ,N40 K10 F4 (45,0) N20 ,N3 K10 F10 (10,50) N19 ,N41 Description ”Music3” ”Music1” ”Music1” Table 1 shows an example of ﬁle repository of a peer whose IDpeer is N10 . Diﬀerent from the original DHT-based system, however, we can see that ﬁles F4 and F10 which have same IDkey , K10 , occupy diﬀerent rows. The ﬁle whose IDcontent is F4 that is provided by N20 and N3 has a positive reputation 45 and negative reputation 0.
In our scheme, each shared ﬁle also has two identiﬁers, a key identiﬁer IDkey and a content identiﬁer IDcontent . IDkey is generated by hashing the ﬁle name and used as a keyword argument name in searching. And additional identiﬁer, IDcontent is generated by hashing its contents and used to identify ﬁles with the same content. Since several versions of ﬁles exist with the same keyword, IDcontent is used to treat these versions diﬀerently. In Chord, IDpeer is used to determine the position of a peer on the identiﬁer circle and the ﬁle indexes that it should take care of.
3) The revision strategy of type beliefs is able to take any relevant information (including behavioral information) into account. 1 The Belief Model Apart from behavioral beliefs, we propose to make use of beliefs regarding an entity’s type and intentions. In addition, we interrelate beliefs by suggesting the mappings typeto-intention and intention-to-behavior. The ensuing three layers of beliefs are illustrated in Figure 1. Type beliefs and intention beliefs. In order to capture epistemic uncertainty, we model a belief regarding an entity’s type as a probabilistic belief.
Agents and Peer-to-Peer Computing: 4th International Workshop, AP2PC 2005, Utrecht, The Netherlands, July 25, 2005. Revised Papers by Thanasis G. Papaioannou, George D. Stamoulis (auth.), Zoran Despotovic, Sam Joseph, Claudio Sartori (eds.)