CAJ | 학술논문

贝叶斯主义兴起于20世纪30年代，在90年代得到复兴，目前已成为科学方法论的重要研究纲领。在科学推理领域，贝叶斯主义具有如下优势：能够将传统科学方法论中的重要直觉形式化；避开传统科学方法论中的困难；解决传统科学方法论中的“未解之谜”。但它也面临旧证据问题、逻辑全知问题和简单性问题以及可列可加性问题等困境。当前贝叶斯主义的研究活力主要表现在两个方面：认知科学中的贝叶斯推理和人工智能领域中的贝叶斯网络研究。
패협사주의흥기우20세기30년대，재90년대득도복흥，목전이성위과학방법론적중요연구강령。재과학추리영역，패협사주의구유여하우세：능구장전통과학방법론중적중요직각형식화；피개전통과학방법론중적곤난；해결전통과학방법론중적“미해지미”。단타야면림구증거문제、라집전지문제화간단성문제이급가렬가가성문제등곤경。당전패협사주의적연구활력주요표현재량개방면：인지과학중적패협사추리화인공지능영역중적패협사망락연구。
The Bayesianism,which arose in the 1930s on the basis of the Bayes'theorem and revived in the 1990s,has become the important research program and the hotspot of scientific methodology.In the field of scientific reasoning,the Bayesianism has the following advantages,i.e.formalizing the important intuitions of the traditional scientific methodology,avoiding the difficulties in the traditional scientific methodology,and resolving the “mysteries”of the traditional scientific methodology.But it also has some dilemmas,such as old evidence,logical omniscience,simplicity,countable additivity,and so on.Currently,the researches on the Bayesianism study has m mainly anifested in two aspects,that is the Bayesian inference in cognitive science, and the Bayesian network in artificial intelligence.