Abstract
The current work has limitations in using GDL to represent domain knowledge for Automated Negotiations, which does not support imperfect information games in negotiation scenarios. In this paper, we expand the GDL and improve the automatic negotiation model so that the framework can describe the negotiation scenarios of imperfect information, and each agent can reason according to the domain knowledge we describe. Through examples, we prove that EGDL is an effective method to represent domain knowledge for Automated Negotiations of imperfect information game, and through experiments, we prove that each agent has higher utilities after negotiations.
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Acknowledgements
This work was supported in part by the National Natural Science Foundation of China under Grant nos. 61872313; the Key Research Projects in Education Informatization in Jiangsu Province under Grant 20180012; by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant KYCX18 2366; and by Yangzhou Science and Technology under Grants YZ2018209, YZ2019133; and by Yangzhou University Jiang du High-end Equipment Engineering Technology Research Institute Open Project under Grant YDJD201707; and Open project of State Key Laboratory of marine engineering, Shanghai Jiaotong University (# 1907). Jiangsu Student’s Platform for Innovation and Entrepreneurship Training Program (Grant nos. 201711117017Z).
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Lv, Y., Zhu, J. & Jiang, Y. Using EGDL to represent domain knowledge for imperfect information automated negotiations. J Ambient Intell Human Comput 13, 5083–5091 (2022). https://doi.org/10.1007/s12652-020-02274-7
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DOI: https://doi.org/10.1007/s12652-020-02274-7