行为数据有助于决策:探索数字自我的心理表征

Q2 Decision Sciences
Yixin Zhang;Lizhen Cui;Wei He;Xudong Lu;Shipeng Wang
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引用次数: 1

摘要

目的数字自我的行为决策是群体智能网络的重要研究内容之一。影响决策的因素和机制引起了许多研究者的关注。在影响决策的因素中,数字自我的心态起着重要的作用。探索数字自我心理对决策的影响机制,有助于理解群体智能网络的行为,提高众知网络的交易效率。设计/方法/途径本文采用行为模式感知层、多向感知层和记忆网络增强层自适应地探索数字自我的心理,从外部行为、心理多向因素和记忆单元三个方面生成数字自我的心理表征。作者使用心理表征来辅助行为决策。在真实开放数据集上的评估表明,该方法可以对用户的思维进行建模,并验证了思维对行为决策的影响,其性能优于通用基线方法对用户兴趣的建模。总的来说,作者利用数字自我的行为来挖掘和探索其思想,以帮助数字自我在CrowdIntell网络中进行决策和促进交易。这项工作是早期的尝试之一,它使用神经网络来模拟数字自我的心理表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavioral data assists decisions: exploring the mental representation of digital-self
Purpose – The behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect decision-making have attracted the attention of many researchers. Among the factors that influence decision-making, the mind of digital-self plays an important role. Exploring the influence mechanism of digital-selfs' mind on decision-making is helpful to understand the behaviors of the crowd intelligence network and improve the transaction efficiency in the network of CrowdIntell. Design/methodology/approach – In this paper, the authors use behavioral pattern perception layer, multi-aspect perception layer and memory network enhancement layer to adaptively explore the mind of a digital-self and generate the mental representation of a digital-self from three aspects including external behavior, multi-aspect factors of the mind and memory units. The authors use the mental representations to assist behavioral decision-making. Findings – The evaluation in real-world open data sets shows that the proposed method can model the mind and verify the influence of the mind on the behavioral decisions, and its performance is better than the universal baseline methods for modeling user interest. Originality/value – In general, the authors use the behaviors of the digital-self to mine and explore its mind, which is used to assist the digital-self to make decisions and promote the transaction in the network of CrowdIntell. This work is one of the early attempts, which uses neural networks to model the mental representation of digital-self.
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来源期刊
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
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