内在不精确的因果复合体

L. Mazlack
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引用次数: 0

摘要

因果复合体是一组较小的因果关系,它们构成了一个大粒度的因果对象。通常,常识性推理在对一些大粒度事件的推理中比对许多细粒度事件的推理更成功。然而,更大粒度的因果对象必然是更不精确的,因为它们的一些组成组件。在许多方面,因果关系是不精确的。至少对某些因果关系的了解本质上是不精确的。对于许多科目来说,不可能知道所有可能的因素;因此,因果知识本质上是不完整的,因此是不精确的。一个令人满意的解决方案可能是开发大粒度的解决方案,然后只在大粒度的不精确性令人不满意时才转向细粒度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inherently imprecise causal complexes
Causal complexes are groupings of smaller causal relations that make up a large grained causal object. Usually, com-monsense reasoning is more successful in reasoning about a few large-grained events than many fine-grained events. However, the larger-grained causal objects are necessarily more imprecise as some of their constituent components. Causality is imprecisely granular in many ways. Knowledge of at least some causal effects is inherently imprecise. It is unlikely that all possible factors can be known for many subjects; consequently, causal knowledge is inherently incomplete and therefore imprecise. A satisficing solution might be to develop large-grained solutions and then only go to the finer-grain when the impreciseness of the large-grain is unsatisfactory.
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