Inheritance theory - an artificial intelligence approach
Inheritance theory - an artificial intelligence approach
复制标题
继承理论——一种人工智能方法
DOI：
--
复制
发表时间：
1995
期刊：
影响因子：
--
通讯作者：
R. Al
中科院分区：
文献类型：
--
作者：
R. Al
在人工智能中，人们早就认识到需要基于常识推理创造复杂的智能行为。研究表明，处理常识推理的形式主义需要非单调的能力，通常情况下，基于不完整知识的推理需要根据后来的信息进行修改，这些信息填补了一些空白。本文探讨了基于多继承结构与例外（非单调继承结构）的推理技术。如果没有足够的非单调继承推理技术，如本书中提出的异常继承推理（或EIR），继承网络将产生不一致性。一些非单调的属性，使EIR subternal现有的形式主义，如默认逻辑和推理距离排序，已包括在这种推理技术。这种继承形式主义已被应用于因果推理和类比推理这两个重要领域，以展示概念的力量和表达的形式主义。
Within artificial intelligence, the need to create sophisticated, intelligent behaviour based on common-sense reasoning has long been recognized. Research has demonstrated that formalism for dealing with common sense reasoning require nonmonotonic capabilities where, typically, inferences based on incomplete knowledge need to be revised in light of later information which fills in some of the gaps. This text examines a reasoning technique based on multiple inheritance structures with exceptions (nonmonotonic inheritance structures). Without an adequate nonmonotonic inheritance reasoning technique, such as exceptional inheritance reasoning (or EIR) as proposed in this book, inheritance networks will produce inconsistencies. A number of nonmonotonic properties that enable EIR to subsume existing formalisms, such as default logic and inferential distance ordering, have been included within this reasoning technique. This inheritance formalism has been applied to the two important domains of causal reasoning and analogical reasoning, to demonstrate the conceptual power and expressiveness of the formalism.