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Finite state machine options with AIML
  
 
Posted: Jul 8, 2016

I would like a bot to go through a deliberate sequence of asking questions to collect information from the user. Keeping AIML simple is very important to me (prefer not to have complex and spaghetti conditional statements).

I plan to do this is to use AIML <topic> and would like to have separate AIML files for each of these topics (for readability). Once one topic is complete, I would to move to the next topic.. Eg, collect first name and last name is one topic, and then collect favorite color is the next topic etc.

Can I set topic externally? I plan to use pyAIML and was wondering if I can set this using set predicate.

In order to move to the next topic, I am thinking about a specific response from pyAIML and then manually set a different topic. I will have a wrapper around the pyAIML kernel so I can process the string going in and coming out of the pyAIML engine.

Wanted to get your feedback and if you thought the above approach was reasonable.
 

 
Posted: Jul 8, 2016
   [ # 1 ]

You can use a “garden path” form of input/response pairs, with the last bot response within the topic setting the new topic for the next section. Setting the topic in AIML is as simple as this:

<set name="topic">{put TOPIC value here}</set> 

Of course, this will also generate an output to the chatbot, so in order to silence that output, just wrap it with a <think> tag, like so: (this example sets the topic to “GETADDRESS”)

<think><set name="topic">GETADDRESS</set></think> 

 
 

 
Posted: Jul 9, 2016
   [ # 2 ]

Thank you Dave!
 

 
Posted: Jul 9, 2016
   [ # 3 ]

Glad to help. smile Best of luck with your project.
 

 
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