<topic>
标签在AIML中用于存储上下文,以便以后的对话可以基于该上下文完成。 通常,<topic>
标签用于是/否类型对话。 它有助于AIML搜索在主题上下文中编写的类别。
语法
使用<set>
标记定义主题 -
<template> <set name = "topic"> topic-name </set> </template>
使用<topic>
标记定义类别 -
<topic name = "topic-name"> <category> ... </category> </topic>
例如,请考虑以下对话。
Human: let discuss movies Robot: Yes movies Human: Comedy movies are nice to watch Robot: Watching good movie refreshes our minds. Human: I like watching comedy Robot: I too like watching comedy.
这里的机器人以“movies”
为主题。
示例
在D:/software/ab/bots/test/aiml
目录中创建一个文件:topic.aiml
,并在D:/software/ab/bots/test/aimlif
目录中创建一个文件:topic.aiml.csv
。
文件:topic.aiml
<?xml version = "1.0" encoding = "UTF-8"?> <aiml version = "1.0.1" encoding = "UTF-8"?> <category> <pattern>LET DISCUSS MOVIES</pattern> <template>Yes <set name = "topic">movies</set></template> </category> <topic name = "movies"> <category> <pattern> * </pattern> <template>Watching good movie refreshes our minds.</template> </category> <category> <pattern> I LIKE WATCHING COMEDY! </pattern> <template>I like comedy movies too.</template> </category> </topic> </aiml>
文件:topic.aiml.csv -
0,LET DISCUSS MOVIES,*,*,Yes <set name = "topic">movies</set>,topic.aiml 0,*,*,movies,Watching good movie refreshes our minds.,topic.aiml 0,I LIKE WATCHING COMEDY!,*,movies,I like comedy movies too.,topic.aiml
执行程序
打开命令提示符。 进入目录:D:/software/ab 并键入以下命令 -
java -cp lib/Ab.jar Main bot = test action = chat trace = false
执行上面示例代码,得到以下结果 -
Human: let discuss movies Robot: Yes movies Human: Comedy movies are nice to watch Robot: Watching good movie refreshes our minds. Human: I like watching comedy Robot: I too like watching comedy.