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Download Agents and Data Mining Interaction: 8th International by Victor Lesser (auth.), Longbing Cao, Yifeng Zeng, Andreas L. PDF

By Victor Lesser (auth.), Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir I. Gorodetsky, Philip S. Yu, Munindar P Singh (eds.)

This ebook constitutes the completely refereed post-workshop lawsuits of the eighth overseas Workshop on brokers and knowledge Mining interplay, ADMI 2012, held in Valencia, Spain, in June 2012. The sixteen revised complete papers have been rigorously reviewed and chosen from a number of submissions. The papers are geared up in topical sections on brokers for information mining, info mining for brokers, and agent mining applications.

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Extra info for Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers

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However, our model and analysis are generalizable to cycles of greater length.     Consider a peer i that is multiswarming in two swarms. Let us assume that i has received a set of length 2 cycles Ci from the tracker Fig. 1. Example of a Supply and Demand graph and it decides to upload content to these cycles. We denote the contribution that i makes to each cycle by bic for c ∈ Ci . , bi . From the perspective of the normal peers nothing has changed about the strategy of peer i because they derive expected utility based on i’s total contribution.

2 The IIM Model For simplicity we only present the   model of IIM for indirect interaction cycles of length 2. However, our model and analysis are generalizable to cycles of greater length.     Consider a peer i that is multiswarming in two swarms. Let us assume that i has received a set of length 2 cycles Ci from the tracker Fig. 1. Example of a Supply and Demand graph and it decides to upload content to these cycles. We denote the contribution that i makes to each cycle by bic for c ∈ Ci .

5 Experimentation and Validation Our approach to validating claims consists of a measurement study and simulations of the indirect interaction mechanism. Our measurement study focuses on validating our assumption regarding the possibility of indirect interaction. It has helped us in designing IIM. Our simulations on the other hand focus on validating hypotheses that we derived from our game theoretic model of IIM. In short we demonstrate that IIM incentivizes potential multi-swarmers to choose indirect interaction over seeding in or disconnecting from swarms which could otherwise be used for indirect interaction.

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