[1]伍京华,王凯欣.基于Agent的综合信任评价的情感劝说模型[J].智能系统学报,2021,16(1):117-124.[doi:10.11992/tis.202009024]
WU Jinghua,WANG Kaixin.Emotional persuasion model based on Agent’s comprehensive trust evaluation[J].CAAI Transactions on Intelligent Systems,2021,16(1):117-124.[doi:10.11992/tis.202009024]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
16
期数:
2021年第1期
页码:
117-124
栏目:
学术论文—知识工程
出版日期:
2021-01-05
- Title:
-
Emotional persuasion model based on Agent’s comprehensive trust evaluation
- 作者:
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伍京华, 王凯欣
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中国矿业大学(北京) 管理学院,北京 100083
- Author(s):
-
WU Jinghua, WANG Kaixin
-
School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China
-
- 关键词:
-
智能体; 信任评价; 情感劝说; 模糊隶属度; 商务智能; 自动谈判; 灰色关联分析; 熵权法
- Keywords:
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agents; trust evaluation; emotional persuasion; fuzzy membership; business intelligence; automated negotiation; gray relational analysis; entropy weight method
- 分类号:
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TP18;C931.6
- DOI:
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10.11992/tis.202009024
- 摘要:
-
针对目前Agent模拟人的信任评价研究不够深入的现状,首先根据情绪认知模型(ortony clore&collins,OCC),将基于Agent的情感细分为5个等级,引入情感度量因子,采用模糊隶属度函数对其算法进行构建;其次,采用灰色关联分析法评价各信任指标,并通过熵权法计算相应权重,构建了综合信任评价算法;综合以上研究,提出了基于Agent的综合信任评价的情感劝说模型,并以北京市碳排放权交易为背景,设计了相应算例,对以上研究进行了验证和分析;最后对结论进行了归纳和梳理,并给出了下一步研究方向。
- Abstract:
-
In view of the present research on trust evaluation of agent simulators is not deep enough, an emotional persuasion model is proposed. The agent-based emotion was first divided into five levels according to the OCC model. First, an emotional factor was introduced, and a fuzzy membership function was used to construct the algorithm. Second, the gray relational analysis method was used to evaluate each trust index, and the corresponding weight was calculated by the entropy weight method, fully building the comprehensive trust evaluation algorithm. Third, an emotional persuasion model based on the agent’s comprehensive trust evaluation was proposed. Under the background of emission trading permits of carbon in Beijing, corresponding examples were designed to verify and analyze the model. Finally, results were summarized and sorted into a conclusion, forming the next research direction.
更新日期/Last Update:
2021-02-25