以原型为中心为搜索引擎增加推理能力的方法——原型的概念

L. A. Zadeh
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引用次数: 108

摘要

现有的搜索引擎有许多出色的功能。但其中不包括推理能力,即通过利用知识库中各个部分的信息或由用户增强的信息来回答查询的能力。问题是,搜索引擎知识库中的大部分信息都是基于感知的,这一点还没有被广泛认识到。基于二值逻辑和标准概率论的方法缺乏处理基于感知的信息的能力。一个具有推理能力的搜索引擎实际上就是一个问答系统。通过应用基于二值逻辑和标准概率论的方法,在实现演绎能力方面取得了有限的进展。但是,要超越标准方法的范围,就必须改变方向。在概述的方法中,一个起关键作用的概念是原型-一个在人类推理,识别,搜索和决策过程中具有中心地位的概念。
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A prototype-centered approach to adding deduction capability to search engines-the concept of protoform
Existing search engines have many remarkable capabilities. But what is not among them is deduction capability-the capability to answer a query by drawing on information which resides in various parts of the knowledge base or is augmented by the user. The problem-which is not widely recognized-is that much of the information in the knowledge base of a search engine is perception-based. Methods based on bivalent logic and standard probability theory lack capability to operate on perception-based information. A search engine with deduction capability is, in effect, a question-answering system. Limited progress toward a realization of deduction capability is achievable through application of methods based on bivalent logic and standard probability theory. But to move beyond the reach of standard methods it is necessary to change direction. In the approach which is outlined, a concept which plays a pivotal role is that of a prototype-a concept which has a position of centrality in human reasoning, recognition, search and decision processes.
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