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 publication constitutes the completely refereed post-workshop lawsuits of the seventh overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2008, held in Estoril, Portugal, in might 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 awarded have been conscientiously reviewed and chosen from quite a few submissions. the amount is prepared in topical sections on social welfare, allotted info sharing, and community association and efficiency.
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Additional 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
As the agents find the experts in the system, they can obtain responses for a cheaper rate since the referral chains for the responses are shorter in length. Therefore, they pay less for referrals and this increases the number of questions that can be asked and therefore, the Social Welfare increases too. When social welfare is compared with the degree of unfairness as in Figure 3 in the network, the incentive model emerges as superior in referral networks. 4 Performance and Fairness of Expert Agents Fairness and Performance is specially important for experts in the network.
The performance of the experts varies under the three settings. Figure 4(a) shows the performance of the top twenty experts under each setting. Most experts perform best under Incentives, in the middle under Philanthropy, and worst under Reciprocity. Under Incentives, as experts provide answers, they earn money and can ask more questions. Consequently, experts interact more and are able to receive Emerging Properties of Knowledge Sharing Referral Networks 21 a larger number of responses than the nonexperts.
True or false) when considered for a single task. 2 Agent Behavior The agent’s individual behavior is based on a set of predictors designed for several tasks. Generally, there are three types of predictors an agent has: the query predictor to decide whether to send outgoing queries to other agents, an agent predictor for each agent it interacts with to decide whether the agent is trustworthy, and a set of server predictors to store the conﬁdence value of a successful allocation for each server to decide whether a particular server should be used in future allocations.