Hui Wang, Liang Li, Long-yun Gao, Wu Chen
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 35-40, 2018, DOI:10.1080/10798587.2016.1267238
Abstract With the development of big data science, handling intensive knowledge in the complex network
becomes more and more important. Knowledge representation of multi-agent negotiation in the
complex network plays an important role in big data science. As a modern approach to declarative
programming, answer set programming is widely applied in representing the multi-agent negotiation
knowledge in recent years. But almost all the relevant negotiation models are based on complete
rational agents, which make the negotiation process complex and low efficient. Sorting negotiation
demands is the most key step in creating an efficient negotiation model to improve the negotiation
ability of… More >
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