Abstract
Recently, discussions among many people about global warming and global product development have been increasing. Efficient collaborative support based on multi-agent systems is necessary to collect the huge number of opinions and reach optimal agreements among many participants. We propose a collaborative park-design support system as an example of collective collaboration support systems based on multi-agent systems. In this system, agents elicit the utility information of users, collect many alternatives, and reach optimal agreements based on automated negotiation protocol. In particular, we focus on the steps for determining the attribute space and estimating the utility spaces of users in real world.
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Okumura, M., Fujita, K., Ito, T. (2013). An Implementation of Collective Collaboration Support System Based on Automated Multi-agent Negotiation. In: Ito, T., Zhang, M., Robu, V., Matsuo, T. (eds) Complex Automated Negotiations: Theories, Models, and Software Competitions. Studies in Computational Intelligence, vol 435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30737-9_8
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DOI: https://doi.org/10.1007/978-3-642-30737-9_8
Publisher Name: Springer, Berlin, Heidelberg
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