Open Access
ARTICLE
A Complex Networked Method of Sorting Negotiation Demand Based on Answer Set Programs
Hui Wang, Liang Li, Long-yun Gao, Wu Chen
College of Computer and Information Science, Southwest University, Chongqing, China
* Corresponding Author: Wu Chen,
Intelligent Automation & Soft Computing 2018, 24(1), 35-40. https://doi.org/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 agents. Traditional sorting method is not suitable for the negotiation in the complex network.
In this paper, we propose a complex networked negotiation, which can show the relationships
among demands, and then a sorting method of negotiation demands is proposed based on demand
relationships. What’s more, we use the betweenness of literals and the boundary co-efficient of rules to
evaluate the importance of demands and rules.
Keywords
Cite This Article
H. Wang, L. Li, L. Gao and W. Chen, "A complex networked method of sorting negotiation demand based on answer set programs,"
Intelligent Automation & Soft Computing, vol. 24, no.1, pp. 35–40, 2018. https://doi.org/10.1080/10798587.2016.1267238