消除基于迈尔森价值的本体学矛盾
Juanyong Wu1, Wei Peng2,3
1School of Mathematics and Statistics, Guizhou University of Finance and Economics, Huayan Road, Guiyang, 550025, Guizhou, China.
本研究引入了一种使用游戏理论来解决本体论中的逻辑矛盾的新方法. 通过根据它们的贡献来评估公式,它优先删除,提高了本体学准确性,并保留了更多的数据结构.
科学领域:
- 人工智能的人工智能
- 知识表示 知识表示
- 本体学 工程学 工程学
背景情况:
- 实体学对于人工智能知识表示至关重要,但往往包含逻辑矛盾.
- 传统的整数线性编程 (ILP) 模型对待所有公式均等,未能优先考虑矛盾解决的关键公式.
研究的目的:
- 开发一个先进的ILP模型来解决本体学矛盾,优先考虑公式删除.
- 为了更有效地管理矛盾,整合合作游戏理论和基于图形的表示.
主要方法:
- 计算Shapley值以量化每个公式在解决矛盾中的边际贡献.
- 将Shapley值扩展为Myerson值,使用基于图形的本体表征.
- 开发了一个迈尔森加权的ILP模型,用于从字典上消除逻辑矛盾,最大限度地减少删除和基于迈尔森值的优先级.
主要成果:
- 拟议的迈尔森加权ILP模型与传统ILP方法相比,保留了更多的图边.
- 该方法有效量化配方贡献,并确定清晰的删除优先级.
- 在18个不同的实体学中表现出卓越的性能.
结论:
- 这种新的方法提供了一种更细微和有效的方法来解决本体论中的逻辑矛盾.
- 该技术通过基于计算贡献的删除优先级来提高本体学准确性和数据完整性.
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