Abstract
In this paper, we present a multi-agent architecture which can reduce user’s load when searching for affiliates in a network of community websites. We give a precise definition of the environment, networks of community websites. The system’s architecture is designed with scalability and easy interfacing for brokers and matchmakers in mind. We have developed a simulator to see how sites or blogs evolve with affiliation. We also show an example of its output results after a 1500-iteration long experiment on a network of community blogs. In our conclusion, we state several applications of critical interest and further research paths on the subject.
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Swezey, R.M.E., Nakamura, M., Shiramatsu, S., Ozono, T., Shintani, T. (2010). Architecture for Automated Search and Negotiation in Affiliation among Community Websites and Blogs. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_55
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DOI: https://doi.org/10.1007/978-3-642-13025-0_55
Publisher Name: Springer, Berlin, Heidelberg
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