[机器学习](一)Logic Agents基本定义

写在前言

感谢你阅读我的博客。

本系列参考自Russell, Stuart J., and Peter Norvig. "Artificial Intelligence-A Modern Approach, Third Int. Edition." (2010). 本质上是机器学习课程的笔记，所以会出现大量未经翻译的英文文段，蒙读者见谅。

引言

In which we design agents that can form representations of a complex world, use a process of inference to derive new representations about the world, and use these new representations to deduce what to do.

Agent (智能体)

Agent作为一个人工智能术语，其指代的是可以执行 Action(动作) 的 anything。 通常情况下agent执行action会受到 Environment(环境) 的影响。 (p.4)

Rational agent

A rational agent is one that acts so as to achieve the best outcome or, when there is uncertainty, the best expected outcome. (p.4)

​For each possible percept sequence, a rational agent should select an action that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built-in knowledge the agent has. （p.37)

Artificial Intelligence可以高度概括为研究ration agent的学科。

Logic

这个解释起来好麻烦课上也没讲之后有看到合适的资料再补充好了。

Knowledge Base

通常简写为KB。Knowledge base 是 sentences 的集合。

Sentences

​Each sentence is expressed in a language called a knowledge representation language and represents some assertion about the world. Sometimes we dignify a sentence with the name axiom, when the sentence is taken as given without being derived from other sentences.

是术语，不能和自然语言的sentences混淆。