I have huge interests in the mysterious Artificial Intelligence. Because of the lack of time to devote into learning AI, I still barely know AI related theories. Tonight I read something about Neural Network, which plays a important role in the AI field.
So, what is A NEURAL NETWORK?
A neural network is a massively parallel distributed processor made up of simple processing units that has a natural propensity for storing experiential knowledge and making it available for use. It resemble the brain in two respects:
knowledge is acquired by the network from its environment through a learning process.
Interneuron connection strengths known as synaptic weights, are used to store the acquired knowledge.
Let us take the human vision as an example to demonstrate why it is necessary to study neural network. Human vision is a very complex information processing task. It is the function of the visual system to provide a representation of the the environment around us and to supply the information we need to interact with the environment. The brain accomplishes recognition task at the same time. For instance, the brain can recognize a familiar face embedded in an unfamiliar scene in shorter than a blink of eye, actually 100-200ms, whereas tasks of much lesser complexity take a great deal longer on a very powerful computer.
What's the reason makes the biological brains so efficient? How to let our machines think and do reasoning like biological brains do. The course of Neural Network has been trying to answer these questions from the day the course was established.
A typical neural network has many useful properties and capacities. 1. Nonlinearity 2. Input-output Mapping 3. Adaptivity 4. Evidential Response 5. Contextual Information 6. Fault Tolerance 7. VLSI(Very Large Scale Integrated) Implementability. 8. Uniformity of Analysis and Design 9. Neurobiological Analogy.
STEP ONE：在pandorabots的首页，找到Sign-up for an Account，按ctrl+F 搜索一下 Sign，就能马上定位到了。点击这个链接就可以注册一个账号了。
STEP TWO：和大多数注册过程一样，填上一些最基本的信息就注册成功。记得勾选上 By checking this box and clicking on the button labeled “Submit Account Request” you are agreeing to the Term Service 复选框。点击 SUBMIT ACCOUT REQUEST.
STEP THREE：接着网站提示: There are no Pandorabots defined yet. You must first create a new chat robot。点击 create 单词上的链接。
STEP FOUR: 接着是聊天机器人最基本的设定。
Name: // 这里填上你要创建的机器人的名字。
– automatically discover spaces between words (suggested for Japanese) // 建议勾选上，因为中文和日文都没有用空格分词。
Startup AIML – Please select the AIML set you wish to include: // 让你选择你创建的机器人的知识库。不要选最后一个就好！因为最后一个是没有任何知识库~你需要从头开始创建。但如果你喜欢从头开始。那就选最后一个吧。
– Standard AIML – Sept 2001
– Dr Wallace's A.L.I.C.E – March 2002
– Annotated A.L.I.C.E. AIML – September 2003
– Christian Drossmann's standalone German AIML – January 2002
– Sandro Pons' Italian AIML set – April 2001
– No initial content, the pandorabot starts with no knowledge.
点击下面的 Create Chat Robot 按钮，完成创建。
STEP FIVE: 于是你看到了一个界面，上面有各种按钮。你可以一个一个试试看看有什么功能。最重要的就是选 TRAIN 菜单项，你就可以开始训练你的机器人了。在 HUMAN ASK 栏里填上人类要说的话，然后在 SAY INSTEAD前面的框框里填上聊天机器人要回答的话，于是一条规则就创建好了。当然一般情况下会提示匹配到了某条规则，机器人会如何回答，你可以看到当前机器人会如何回答。可以支持中文喔。比如我要教机器人回答“你是学生吗”？
Human:
你是学生吗
Matched:
*
(category defined in star.aiml )
zzz:
A deeper algorithm is needed to respond to that correctly.
<category>
<pattern>WHAT ARE YOU</pattern>
<template>
<think><set name="topic">Me</set></think>
I am the latest result in artificial intelligence,
which can reproduce the capabilities of the human brain
with greater speed and accuracy.
</template>
</category>
不管哪种情况，如果这个category被激发了，alicebot就会回答："I am the latest result in artificial intelligence…" ，前面<template>里面的东东。意思是：我是最先进的人工智能的产物。我能够以超快的速度和准确度模拟人脑的功能。另外，还有一些其它有趣的事情发生呢。注间到<think>标签吗？这会让Alicebot联想到这个对话的相关的一个限制，比如上面的例子就告诉alicebot，这个对向在讨论你自己。set name="topic",又赋值Me。于是对于alicebot的其它N多category，同样是topic的值为Me的category会被优先采纳。由此，这个机制能让你更好更准确的控制对话的流程。想想还有更多的机制呢，就看你的创造力设计一个聪明的聊天机器人啦！