By Thanasis G. Papaioannou, George D. Stamoulis (auth.), Zoran Despotovic, Sam Joseph, Claudio Sartori (eds.)
This publication constitutes the completely refereed post-proceedings of the 4th overseas 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 self sustaining brokers and Multi-Agent structures, AAMAS 2005.
The thirteen revised complete papers provided 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 popularity, P2P infrastructure, semantic infrastructure, in addition to neighborhood and cellular applications.
Read 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 info for Agents and Peer-to-Peer Computing: 4th International Workshop, AP2PC 2005, Utrecht, The Netherlands, July 25, 2005. Revised Papers
2) Beliefs regarding type and behavior are interrelated by a multilayered mapping. It explicitly models context-dependent norm abidance and unintended defection. (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.
Lee et al. Namely, the number of evaluations are not enough to decide whether the ﬁle is trustworthy or not. The ﬁles which satisfy Conditions (1) and (2) are classiﬁed as trustworthy. These ﬁles have been evaluated enough times and are perceived as trustworthy. Whereas, the ﬁles which satisfy Condition (1) but do not satisfy Condition (2) are classiﬁed as untrustworthy. The ﬁle reputation manager only includes trustworthy and unknown ﬁles in the response and hides the existence of the untrustworthy ﬁles from the user.
Therefore, it might be necessary to revise it if new information becomes available. Third, the probabilistic interpretation of behavioral beliefs provides for a straightforward means of making trusting decisions. More specifically, an entity decides to participate in a transaction if its expected utility is positive . 2 From Information to Behavioral Beliefs: Existing Approaches In the following, we analyze how existing approaches of distributed reputation systems derive behavioral beliefs from the information at hand.
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.)