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机构地区:[1]青岛农业大学理学与信息科学学院,山东青岛266109
出 处:《计算机应用与软件》2009年第2期242-243,265,共3页Computer Applications and Software
摘 要:在人工智能中不确定性理论、主观Bayes方法、证据理论等都是基于概率论的。但是,这些不确定性推理方法仅仅是基于概率,而不能真正实现逻辑框架内的概率逻辑不确定推理,产生这种现象的主要原因是概率逻辑自身存在着缺陷。按照泛逻辑学的生成规则,基于零级N/T/S范数完整簇从泛逻辑学的角度来构造概率逻辑算子。结果表明概率逻辑是能够在泛逻辑学的框架内进行柔性化的,是命题泛逻辑在h=0.75时的一种特例。In artificial intelligence,uncertainty theory,subjective Bayes's method and evidence theory are all based on probability theory. But these uncertain reasoning methods are only based on probability calculation and can't actually realize the uncertain reasoning of probabilistic logic Within logical frame. The result is mainly caused by the limitation of probabilistic logic itself. According to the generating rules of universal logic,we construct probabilistic logic operator by zero-order N/T norms complete clusters in terms of Universal Logic Frame. It is shown in this paper that probabilistic logic is able to make it flexible within Universal Logic Frame, actually it is just a special case of proposition universal logic when h = 0.75.
关 键 词:概率逻辑 泛逻辑 零级N/T泛数完整簇 生成元规则
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