ai逻辑回归_人工智能中的逻辑是什么？

ai逻辑回归

人工智能逻辑 (Logic in Artificial Intelligence)

Logic, as per the definition of the Oxford dictionary, is "the reasoning conducted or assessed according to strict principles and validity". In Artificial Intelligence also, it carries somewhat the same meaning. Logic can be defined as the proof or validation behind any reason provided. It is simply the ‘dialectics behind reasoning’. It was important to include logic in Artificial Intelligence because we want our agent (system) to think and act humanly, and for doing so, it should be capable of taking any decision based on the current situation. If we talk about normal human behavior, then a decision is made by choosing an option from the various available options. There are reasons behind selecting or rejecting an option. So, our artificial agent should also work in this manner.

根据牛津词典的定义，逻辑是“根据严格的原则和有效性进行或评估的推理” 。在人工智能中，它也具有相同的含义。逻辑可以定义为提供任何理由的证据或验证。这仅仅是“推理背后的辩证法”。将逻辑包含在人工智能中非常重要，因为我们希望我们的代理人 (系统)能够思考和采取行动，为此，它应该能够根据当前情况做出任何决定。如果我们谈论正常的人类行为，则可以通过从各种可用选项中选择一个选项来做出决定。选择或拒绝选项背后有一些原因。因此，我们的人工制剂也应以这种方式工作。

While taking any decision, the agent must provide specific reasons based on which the decision was taken. And this reasoning can be done by the agent only if the agent has the capability of understanding the logic.

在做出任何决定时，代理必须提供做出决定所依据的特定原因。而且只有当代理具有理解逻辑的能力时，代理才能进行这种推理。

人工智能中的逻辑类型 (Types of logics in Artificial Intelligence)

In artificial Intelligence, we deal with two types of logics:

在人工智能中，我们处理两种类型的逻辑 ：

Deductive logic
演绎逻辑
Inductive logic
归纳逻辑

1)演绎逻辑 (1) Deductive logic)

In deductive logic, the complete evidence is provided about the truth of the conclusion made. Here, the agent uses specific and accurate premises that lead to a specific conclusion. An example of this logic can be seen in an expert system designed to suggest medicines to the patient. The agent gives the complete proof about the medicines suggested by it, like the particular medicines are suggested to a person because the person has so and so symptoms.

在演绎逻辑中，提供了关于所得出结论真实性的完整证据。在此，代理使用特定且准确的前提得出特定结论。在设计用于向患者推荐药物的专家系统中可以看到这种逻辑的一个例子。代理商会提供有关其建议的药物的完整证据，就像因为某人有某种症状而建议向某人推荐特定药物一样。

2)归纳逻辑 (2) Inductive logic)

In Inductive logic, the reasoning is done through a ‘bottom-up’ approach. What this means is that the agent here takes specific information and then generalizes it for the sake of complete understanding. An example of this can be seen in the natural language processing by an agent in which it sums up the words according to their category, i.e. verb, noun article, etc., and then infers the meaning of that sentence.

在归纳逻辑中，推理是通过“自下而上”的方法完成的。这意味着代理在这里获取特定信息，然后为了全面理解而将其概括化。在自然语言处理过程中，代理可以看到一个例子，在该过程中，代理根据单词的类别(即动词，名词冠词等)对单词求和，然后推断出该句子的含义。