不确定性人工智能_人工智能中的确定性因素

不确定性人工智能As we all know that when analyzing a situation and drawing certain results about it in the real world, we cannot be cent percent sure about our conclusions. There is some uncertainty in it for

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818人浏览 · 2020-07-10 23:37:59

cumtv80668 · 2020-07-10 23:37:59 发布

不确定性人工智能

As we all know that when analyzing a situation and drawing certain results about it in the real world, we cannot be cent percent sure about our conclusions. There is some uncertainty in it for sure. We as human beings have the capability of deciding whether the statement is true or false according to how much certain we are about our observations. But machines do not have this analyzing power. So, there needs to be some method to quantize this estimate of certainty or uncertainty in any decision made. To implement this method, the certainty factor was introduced for systems which work on Artificial Intelligence.

众所周知，在现实中分析情况并得出某些结果时，我们不能百分百确定结论。肯定有一些不确定性。作为人类，我们有能力根据我们对观察结果的确定程度来确定陈述是对还是错。但是机器没有这种分析能力。因此，在任何决策中都需要某种方法来量化这种对确定性或不确定性的估计。为了实现该方法，为在人工智能上工作的系统引入了确定性因素 。

The Certainty Factor (CF) is a numeric value which tells us about how likely an event or a statement is supposed to be true. It is somewhat similar to what we define in probability, but the difference in it is that an agent after finding the probability of any event to occur cannot decide what to do. Based on the probability and other knowledge that the agent has, this certainty factor is decided through which the agent can decide whether to declare the statement true or false.

确定性因子(CF)是一个数值，它告诉我们事件或语句应为真的可能性。它与我们在概率中定义的概念有些相似，但是不同之处在于，代理商在发现任何事件发生的概率后都无法决定该做什么。根据代理具有的概率和其他知识，确定此确定性因素 ，代理可以通过该确定因素来决定声明该语句为真还是假。

The value of the Certainty factor lies between -1.0 to +1.0, where the negative 1.0 value suggests that the statement can never be true in any situation, and the positive 1.0 value defines that the statement can never be false. The value of the Certainty factor after analyzing any situation will either be a positive or a negative value lying between this range. The value 0 suggests that the agent has no information about the event or the situation.

确定性因子的值在-1.0到+1.0之间，其中负1.0值表示该语句在任何情况下都永远不会为真，正1.0值表示该语句永远都不能为假。分析任何情况后， 确定性因子的值可以是介于此范围之间的正值或负值。值0表示代理没有有关事件或情况的信息。

A minimum Certainty factor is decided for every case through which the agent decides whether the statement is true or false. This minimum Certainty factor is also known as the threshold value. For example, if the minimum certainty factor (threshold value) is 0.4, then if the value of CF is less than this value, then the agent claims that particular statement false.

对于每种情况，都会确定一个最小确定性因子 ，代理可以通过这种情况来确定该语句是对还是错。该最小确定性因子也称为阈值。例如，如果最小确定性因子 (阈值)为0.4，则如果CF的值小于该值，则代理将特定语句声明为false。