概率主义的经验主义
Quentin Ruyant1, Mauricio Suárez2
1Lancog Group, Centre of Philosophy, University of Lisbon, Lisbon, Portugal.
概括
这项研究将模态经验主义扩展到概率知识,提供一种归纳主义的认识论. 极端概率有助于测试较温和的概率,进步从经验中理解概率推理.
科学领域:
- 科学哲学的哲学科学哲学
- 认识论的认识论学.
背景情况:
- 模态经验主义提供了模态知识的体验基础,使用可能的情况.
- 当前的模态经验主义缺乏概率知识的框架.
- 对必要性的诱导方法假定实际情况的代表性.
研究的目的:
- 扩展模态经验主义以适应概率学知识.
- 为概率知识开发一种归纳主义的认识论.
- 解决现有理论在解释概率推理方面的局限性.
主要方法:
- 用粗的,有限的,相对的可能情况取代可能的世界.
- 使用极端概率 (接近0和1) 作为代理.
- 应用模型组合原理来测试概率.
主要成果:
- 为概率知识提出了一种新的归纳主义认识论.
- 扩展框架解释了从经验中得到的概率推理.
- 极端的概率被证明是有效的测试温和的概率.
结论:
- 模式经验主义可以成功地扩展到概率知识.
- 这为理解概率学认识论提供了一个强大的归纳主义框架.
- 提出的方法为概率的经验知识提供了一种新的方法.
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