blocks|key|2885584|text|查一下AIML+(人工智能标记语言)，它已经有几年的历史了，对于简单的东西来说，它定义得很好，也很灵活。你也可以用各种递归模板做一些非常复杂的事情，结果也相当不错(就哑巴机器人而言)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2885585|有许多使用这种标记语言的open+sdk+projects，它们将负责将您的输入模式与存储在您必须使用模板配置的xml文件中的给定回复进行匹配。|2885586|几年前，我在Java语言中开发了一个messenger机器人，使用AIML存储模式(如果您点击上面的链接，会发现有很多API)，并使用了incesoft+msn+bot+platform。一切都很顺利。|2885587|希望能有所帮助。|2885588|entityMap|0|LINK|mutability|MUTABLE|url|http://en.wikipedia.org/wiki/AIML|1|http://en.wikipedia.org/wiki/AIML#Free_.2F_Open_Source_AIML_Implementations|2|http://issuu.com/shenhuibin/docs/incesoft_msn_bot_platform_sdk_development_guide_en^0|3|4|0|0|C|H|1|0|1W|P|2|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@$A|W|B|X|1|Y]]|C|$]]|$1|D|3|E|5|6|7|Z|8|@]|9|@$A|10|B|11|1|12]]|C|$]]|$1|F|3|G|5|6|7|13|8|@]|9|@$A|14|B|15|1|16]]|C|$]]|$1|H|3|I|5|6|7|17|8|@]|9|@]|C|$]]|$1|J|3|-4|5|6|7|18|8|@]|9|@]|C|$]]]|K|$L|$5|M|N|O|C|$P|Q]]|R|$5|M|N|O|C|$P|S]]|T|$5|M|N|O|C|$P|U]]]]

Look up <a href="http://en.wikipedia.org/wiki/AIML" rel="nofollow">AIML</a> (Artificial Intelligence Markup Language), it's been around a number of years and it's pretty well defined and flexible for simple stuff. You can also do pretty sophisticated stuff with all sorts of recursive templates and the results are pretty decent (as far as dumb bots go).

There's a bunch of <a href="http://en.wikipedia.org/wiki/AIML#Free_.2F_Open_Source_AIML_Implementations" rel="nofollow">open sdk projects</a> that use this markup language, that will take care of matching your input patterns to a given reply stored in the xml files you'll have to configure with templates.

I worked on a messenger bot a few years back in Java using AIML for storing patterns (there are plenty APIs if you follow those links above) and used the <a href="http://issuu.com/shenhuibin/docs/incesoft_msn_bot_platform_sdk_development_guide_en" rel="nofollow">incesoft msn bot platform</a>. Worked out just fine. 

Hope it helps.

blocks|key|2060435|text|对于更复杂的东西，你可以看看NLTK+Natural+Language+Toolkit：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2060436|http://www.nltk.org/|offset|length|2060437|基于Python，旨在用于教育，但有相当多的文档和至少几本书(其中一本是开源的)。|2060438|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|K|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@$D|Q|E|R|1|S]]|A|$]]|$1|F|3|G|5|6|7|T|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|U|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|C]]]]

For something that tries to be a bit more sophisticated, you can look at the NLTK Natural Language Toolkit:

<a href="http://www.nltk.org/" rel="nofollow">http://www.nltk.org/</a>

Based on Python and intended for education, but there's quite a bit of documentation and at least a couple of books (one is open source).

blocks|key|154071|text|至于不同的聊天网络，你可能想看看Pidgin+(+http://www.pidgin.im/download/source/+)，这是一个用C&+GTK%2B编写的跨平台GPLed聊天客户端，可以与所有主要的聊天网络一起工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|154072|entityMap|0|LINK|mutability|MUTABLE|url|http://www.pidgin.im/download/source/^0|P|11|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

As far as the different chat networks go, you may want to check out Pidgin ( <a href="http://www.pidgin.im/download/source/" rel="nofollow">http://www.pidgin.im/download/source/</a> ) , which is a cross-platform GPLed chat client written in C &amp; GTK+ which works with all the major chat networks.

blocks|key|151872|text|你可以考虑找一些人工智能的资源，有一个很好的聊天机器人的例子，可以尝试用谷歌搜索用.NET库构建的verbot|type|unstyled|depth|inlineStyleRanges|entityRanges|data|151873|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

you may consider to find some resource of AI 
there is a very good example of chatbot available
try to google verbot
which is built with .NET library

blocks|key|2885735|text|我们在python中做了一个非常容易扩展的代码，它与XMPP+/+gtalk一起工作：http://gbin.github.com/err/|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2885736|为了给你一个概念，最小的hello+world如下所示：|2885737|from+errbot.botplugin+import+BotPlugin
from+errbot.jabberbot+import+botcmd

class+HelloWorld(BotPlugin):
++++@botcmd
++++def+hello(self,+mess,+args):+++++++++#+the+chatbot+will+then+respond+to+the+command+!hello
++++++++"""+this+command+says+hello+"""++#+this+will+be+the+result+of+!help+hello
++++++++return+'Hello+World+!'+++++++++++#+this+will+be+the+answer|code-block|syntax|javascript|2885738|entityMap|0|LINK|mutability|MUTABLE|url|http://gbin.github.com/err/^0|17|R|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@$A|T|B|U|1|V]]|C|$]]|$1|D|3|E|5|6|7|W|8|@]|9|@]|C|$]]|$1|F|3|G|5|H|7|X|8|@]|9|@]|C|$I|J]]|$1|K|3|-4|5|6|7|Y|8|@]|9|@]|C|$]]]|L|$M|$5|N|O|P|C|$Q|R]]]]

We made one pretty easy to extend in python, it works with XMPP / gtalk :
<a href="http://gbin.github.com/err/" rel="nofollow">http://gbin.github.com/err/</a>

To give you an idea the minimum hello world is as follow:

<pre><code>from errbot.botplugin import BotPlugin
from errbot.jabberbot import botcmd

class HelloWorld(BotPlugin):
 @botcmd
 def hello(self, mess, args): # the chatbot will then respond to the command !hello
 """ this command says hello """ # this will be the result of !help hello
 return 'Hello World !' # this will be the answer
</code></pre>

blocks|key|2060492|text|为此，我一直在使用Github的hubot。当我的机器人被要求讲笑话时，它会讲笑话。(当然，我也有一个，我可以问我应该做什么，它会查找我的工作列表。)|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2060493|GoGoBot>+tell+a+joke+about+me
GoGoBot>+a+joke+about+Shell...++Let+me+think+about+it...
GoGoBot>
I+heard+a+funny+one+the+other+day:
Chuck+Norris+doesn't+look+both+ways+before+he+crosses+the+street...
he+just+roundhouses+any+cars+that+get+too+close.|code-block|syntax|javascript|2060494|该机器人在NodeJS上运行。api接受一个正则表达式和一个类似如下的回调|2060495|robot.hear+/tell+a+joke/i,+(msg)+->+msg.send+'I+heard+a+funny+joke...'|style|CODE|2060496|module.exports+=+(robot)+->
++robot.hear+/tell+(?:a%7Csomething)+(?:joke%7Cfunny)(?:+about+([a-z.]%2B))?/i,+(msg)+->
++++subject+=+getSubject+msg.match[1],+msg.message.user.name
++++msg.send+'a+joke+about+'+%2B+subject+%2B+'...++Let+me+think+about+it...'+if+subject.length
++++tellJoke+=+->
++++++getJoke+subject,+(err,+text)+->
++++++++msg.send+"Cannot+compute.++#{robot.name}+is+about+to+die.\r\n#{err}".replace(/e/ig,+'3')+if+err?
++++++++msg.send+"I+heard+a+funny+one+the+other+day:\r\n#{text}"+unless+err?
++++setTimeout+tellJoke,+5000+*+Math.random()|2060497|它很容易学习，因为我已经熟悉了NodeJS和咖啡脚本。今天，我在几个小时内编写了我提到的两个机器人。|2060498|entityMap|0|LINK|mutability|MUTABLE|url|http://hubot.github.com/^0|G|5|0|0|0|0|0|1Y|0|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|D|3|E|5|F|7|14|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|15|8|@]|9|@]|C|$]]|$1|K|3|L|5|6|7|16|8|@$A|17|B|18|M|N]]|9|@]|C|$]]|$1|O|3|P|5|F|7|19|8|@]|9|@]|C|$G|H]]|$1|Q|3|R|5|6|7|1A|8|@]|9|@]|C|$]]|$1|S|3|-4|5|6|7|1B|8|@]|9|@]|C|$]]]|T|$U|$5|V|W|X|C|$Y|Z]]]]

I have been using Github's <a href="http://hubot.github.com" rel="nofollow">hubot</a> for this purpose. My bot, when asked to tell a joke, tells a joke. (Of course I also have one that I can ask what I am supposed to be working on, and it looks up my worklist.)

<pre><code>GoGoBot&gt; tell a joke about me
GoGoBot&gt; a joke about Shell... Let me think about it...
GoGoBot&gt;
I heard a funny one the other day:
Chuck Norris doesn't look both ways before he crosses the street...
he just roundhouses any cars that get too close.
</code></pre>

The bot runs on NodeJS. The api takes a regex and a callback like

<code>robot.hear /tell a joke/i, (msg) -&gt; msg.send 'I heard a funny joke...'</code>

<pre><code>module.exports = (robot) -&gt;
 robot.hear /tell (?:a|something) (?:joke|funny)(?: about ([a-z.]+))?/i, (msg) -&gt;
 subject = getSubject msg.match[1], msg.message.user.name
 msg.send 'a joke about ' + subject + '... Let me think about it...' if subject.length
 tellJoke = -&gt;
 getJoke subject, (err, text) -&gt;
 msg.send "Cannot compute. #{robot.name} is about to die.\r\n#{err}".replace(/e/ig, '3') if err?
 msg.send "I heard a funny one the other day:\r\n#{text}" unless err?
 setTimeout tellJoke, 5000 * Math.random()
</code></pre>

It was pretty easy to learn since I am already familiar with NodeJS and coffee-script. I wrote the two bots I mentioned in a few hours today.

blocks|key|154097|text|IMified可能是一种简单的入门方式，它允许你使用服务器端web开发工具来构建IM聊天机器人来接收消息，并且只需通过发出HTTP请求来发送消息或请求状态。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|154098|http://www.imified.com/hosting/|offset|length|154099|154100|+IMified的即时通信应用创建和托管解决方案消除了复杂性，为使用一个接口在多个公共IM网络上构建和部署IM应用提供了简单的解决方案。|blockquote|154101|154102|154103|接口文档：http://www.imified.com/developers/api|154104|154105|是连接到IMified平台的应用程序，其最简单的形式是驻留在任何HTTP服务器上的动态网页，它监听传入的消息，然后输出响应。您可以在bot的设置中指定终结点URL。开发人员还可以将消息“推送”给用户，还可以通过对IMified服务器的REST+api调用来请求用户的存在。|154106|154107|entityMap|0|LINK|mutability|MUTABLE|url|1|http://www.imified.com/developers/api^0|0|0|V|0|0|0|0|0|0|5|11|1|0|0|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|11|8|@]|9|@$D|12|E|13|1|14]]|A|$]]|$1|F|3|-4|5|6|7|15|8|@]|9|@]|A|$]]|$1|G|3|H|5|I|7|16|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|17|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|18|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|19|8|@]|9|@$D|1A|E|1B|1|1C]]|A|$]]|$1|N|3|-4|5|6|7|1D|8|@]|9|@]|A|$]]|$1|O|3|P|5|I|7|1E|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|1G|8|@]|9|@]|A|$]]]|S|$T|$5|U|V|W|A|$X|C]]|Y|$5|U|V|W|A|$X|Z]]]]

IMified might be an easy way to get started, it lets you build IM chat bots with server-side web development tools to receive messages, and just by making HTTP requests to send messages or request statuses.

<a href="http://www.imified.com/hosting/" rel="nofollow">http://www.imified.com/hosting/</a>

<blockquote>
 IMified's API-based solution for
 creating and hosting instant messaging
 applications removes the complexity
 and provides a simple solution for
 building and deploying IM applications
 on multiple public IM networks using
 one API.
</blockquote>

API docs here:
<a href="http://www.imified.com/developers/api" rel="nofollow">http://www.imified.com/developers/api</a>

<blockquote>
 An application connected to the
 IMified platform is in its simplest
 form a dynamic web page that resides
 on any HTTP server and listens for
 incoming messages then outputs a
 response. You specify an endpoint URL
 in your bots' settings. Developers may
 also "push" messages to users, as well
 as request a users presence via a REST
 api call to IMified's server.
</blockquote>

What I want to do is build a simple bot which sends me a set of information stored in database to my messanger chat window [Chatting services are gTalk, Yahoo and other commonly used chating products] Also, it should be capable of accepting few predefined commands and replying them.

Is there any opensource code available for this?

Simple chat bot projects

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我想做的是建立一个简单的机器人发送给我的信息存储在数据库中的一组信息到我的messanger聊天窗口聊天服务是gTalk，雅虎和其他常用的聊天产品也，它应该能够接受一些预定义的命令，并答复他们。有没有为此提供的开放源码？

问简单的聊天机器人项目
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回答 7

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