平台管理强度对交易效果的仿真分析

Journal of Liaoning Institute of Technology(Natural Science Edition)（2020）

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Abstract

考虑复杂平台网络内部,交易效果涌现受平台管理强度影响.基于复杂适应系统理论,依据双边市场结构内在属性特点,构建平台管理强度与交易效果的关系模型.利用Anylogic仿真平台,就市场和成本属性对比分析不同强度平台管理对交易效果产生的影响.由仿真结果,市场属性中的卖方收益率对买方和平台价值无影响,对卖方价值有负影响;平均使用服务对买方价值无影响,对卖方价值有正影响,对平台价值有负影响;成本中的买方,卖方和平台成本对各交易主体产生显著影响.

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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【要点】：研究平台管理强度对交易效果的影响，提出并验证了基于复杂适应系统理论的平台管理强度与交易效果关系模型。

【方法】：利用复杂适应系统理论，结合双边市场结构特性构建模型，并使用Anylogic仿真平台进行模拟分析。

【实验】：通过Anylogic仿真平台进行实验，分析了不同管理强度下的市场属性和成本属性对交易效果的影响，使用的数据集为自定义的市场和成本属性数据，仿真结果显示市场属性和成本对交易主体价值有不同的影响。