混合知识表示技术&比较研究

Poonam Tanwar, T. V. Prasad, K. Datta
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引用次数: 2

摘要

知识表示和推理机制是实现系统智能化的关键。如果一个系统的智能在某一特定领域或一般情况下等同于人类的智能,那么这个系统就是智能的。由于信息的不完全性、模糊性和不确定性,使得智能系统的设计非常困难。本文的目的是提出混合氪技术,使系统有效和乐观。对(有效和乐观)的要求是因为系统必须能够以某种因素的置信度来回答答案。本文还比较了各种混合氪金技术与本文提出的混合氪金技术。
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HYBRID TECHNIQUE FOR KNOWLEDGE REPRESENTATION & A COMPARATIVE STUDY
Knowledge representation (KR) and inference mechanism are most desirable thing to make the system intelligent. System is known to an intelligent if its intelligence is equivalent to the intelligence of human being for a particular domain or general. Because of incomplete ambiguous and uncertain information the task of making intelligent system is very difficult. The objective of this paper is to present the hybrid KR technique for making the system effective & Optimistic. The requirement for (effective & optimistic) is because the system must be able to reply the answer with a confidence of some factor. This paper also presents the comparison between various hybrid KR techniques with the proposed one.
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