Download Agents and Peer-to-Peer Computing: 7th International by Sharmila Savarimuthu, Maryam Purvis, Martin K. Purvis PDF

By Sharmila Savarimuthu, Maryam Purvis, Martin K. Purvis (auth.), Domenico Beneventano, Zoran Despotovic, Francesco Guerra, Sam Joseph, Gianluca Moro, Adrián Perreau de Pinninck (eds.)

This booklet constitutes the completely refereed post-workshop court cases of the seventh overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2008, held in Estoril, Portugal, in may possibly 2008 and the eighth overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2009, held in Budapest, Hungary, could 2009, co-located with the foreign Joint convention on independent brokers and Multi-Agent platforms, AAMAS. The thirteen revised complete papers offered have been rigorously reviewed and chosen from various submissions. the amount is prepared in topical sections on social welfare, disbursed details sharing, and community association and efficiency.

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Extra info for Agents and Peer-to-Peer Computing: 7th International Workshop, AP2PC 2008, Estoril, Portugal, May 13, 2008 and 8th International Workshop, AP2PC 2009, Budapest, Hungary, May 11, 2009. Revised Selected Papers

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The information finders apply the search to their repositories only if the querying user has the access to at least a part of the information stored into them. Enhancing Peer-to-Peer Applications with Multi-agent Systems 31 Results Filtering: each IF filters the searching results on the basis of the querying user access permissions. Results Sending and Presentation: each IF sends the filtered list of results to the querying PA. The PA orders the various results as soon as it receives them, omitting duplicate results and presenting them to its user.

Individual tasks, or group tasks to be performed by several agents), the allocation is performed better when the agents act cooperatively. , managers), which in turn try to manage the allocation process [7]. In those settings, in order for a task allocation to be complete, either all the resources have to be sufficient for each task, or the task has to be left unassigned at all. Since the problem is NP-hard in nature [8], approximations are applied. A task manager, when assigned a task, tries to compute the efficiency of the task by finding the ratio of the task’s utility and the resources required.

In both Philanthropy and Incentives, the contribution of these agents to the network does not alter. However, they have an added advantage in the Philanthropic network since they benefit from their neighbors being exploiters and therefore indirectly exploit other experts themselves. Additionally, figure 4(b) shows the relative performance of these agents. Since the dispersion of relative performance of the expert agents is low, we can conclude that they perform much better in terms of fairness with Reciprocity and Incentives, than Philanthropy.

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