计算机科学 ›› 2025, Vol. 52 ›› Issue (8): 17-28.doi: 10.11896/jsjkx.250400023
商希雪1, 韩海庭2, 朱郑州3, 屈秀伟3
SHANG Xixue1, HAN Haiting2, ZHU Zhengzhou3, QU Xiuwei3
摘要： 在人工智能等技术涌现和飞速发展的新时期,数据已成为企业和社会的核心资产,但数据市场治理始终面临经济激励不足、科学量化评估难和隐蔽性侵权多等挑战。对此,基于演化博弈理论构建了包括数据提供方、需求方和监管平台在内的三方博弈框架。通过分析企业数据开发能力、公共监管强度,以及参与者不同策略选择等对数据市场演化的动态影响发现:提高企业数据开发能力是激活市场活力、提高社会福利的根本办法,也是导致企业违规行为的诱因之一;公共监管强度的增加可以规范市场秩序,但也可能会抑制部分企业的创新实践。通过理论求解和数值仿真,不仅揭示了监管效力、开发能力等要素的非线性特征,也为科学量化执法的实现提供了重要依据。通过“激励-约束-补偿”三位一体的动态监管机制和分析模型,可以有效预测市场演化特征,结合市场短期、中期和长期发展目标,改变“激励-约束-补偿”相关参数设定,使政策制定更科学,政策强度更精确。
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