Research On Extrinsic Reasoning Model In Extension Detecting

Information detecting is first precondition to farther process information, Information detecting's main job is how to get valuable information from a lot of raw information. Broadly Information detecting is necessarily using in any information systems.Now Information detecting has many methods, and their same point is how to get valuable information, which is not detected by sense organs. But they have same limitation that is not accurately get valuable information, and their stability is not enough, so it is necessary that create new information detecting method to overcome these limitation. As extension, it is a new way of thinking, and it's basic is contradiction. As now information detecting's problem is how to get valuable information that is not detected by sense organs, and it is about contradiction problem, so we can combine extension and information detecting, then we can gain extension detecting. Now extension is Neonatal, as extension is developing, extension detecting will become more and more perfect.This paper firstly introduces the reasoning of extension and extension detecting;secondly put forward extension reasoning model, which include reasoning tree and evaluate rules. In chapter 4 I analyzes the construction of reasoning detecting project, and as an example is that detect how much rice in electric cooker, which will show it's reasoning process, lastly create a new reasoning method that combine extension detecting and Genetic Algorithms.This paper is supported by National Natural Science Foundation of China (60272089).