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-- coding: utf-8 --

Created on Tue Dec 10 22:59:29 2013

@author: Julian

I want to create a learning chatbot! The name stands for 'Learning Python Chatter' Why start with easy projects if you can also do hard ones ;)!

The goal: I will ask a question, LePyC will not be able to answer or even understand this question. Subsequently, LePyC will ask questions back in order to learn how to answer the original question. I will answer every question until everything is clear to LePyC. If a ask the original question again, I will get a satisfying answer.

My thoughts on which steps are needed to accomplish this: 1. Teach LePyC the english language (could be any language of course, but first keep it simple) 2. Create algorithms that analyze the user's input (action); by this, I mean that LePyC splits the input string into the different words/numbers/symbols/etc 3. These are somehow sorted into combinations (i.e. adjective + noun, subject + verb, imperative verbs, past tense) 4. Difficult part: interpretate the action: * Must LePyC deliver information or take information? * Deliver / Take information * If deliver: Does LePyC already possess this information? *

5. Everything (actions + reactions) is saved in a logfile and in a database.

*The difference between them is, that the logfile is a list of all actions and reactions ever made, listed chronologically,and that the database saves and assigns words/numbers/symbols/expression to different categories, sub-categories etc. The database can be seen as a huge crosslinked Dictionary. My vision is, that the dictionary does not have a fixed structure but is able to dynamically expand, add new (sub- or super-) categories etc. The logfile is therefore LePyC's memory and the Dictionary is its intelligence.

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