Comments on: Just ONE project http://victorhurdugaci.com/just-one-project/ Victor Hurdugaci's playground Wed, 09 May 2012 17:30:08 +0000 hourly 1 http://wordpress.org/?v= By: Dianahttp://victorhurdugaci.com/just-one-project/comment-page-1/#comment-724 Diana Fri, 10 Jul 2009 12:47:30 +0000 http://victorhurdugaci.com/?p=1104#comment-724 Hi Victor, Thank you very much for your reply. I will look more into this, and if I need more help maybe I will contact you :). Hi Victor,

Thank you very much for your reply. I will look more into this, and if I need more help maybe I will contact you :).

]]> By: Victorhttp://victorhurdugaci.com/just-one-project/comment-page-1/#comment-723 Victor Thu, 09 Jul 2009 18:01:58 +0000 http://victorhurdugaci.com/?p=1104#comment-723 Hello Diana, An expert system cannot analyze an unrestricted language (Type-0 language), like the spoken language. For this, you need to combine the expert system with some sort of natural language processing. However, you could create a Type 3 language (a language that can be parsed with regular expressions) you could use the expert system to tokenize and interpret it. The condition (the IF part) will search for a specific token like "GOOD", "BAD" or "THE BEST" and based on this criteria will rate the book. Ie: GOOD = BookRating +1; BAD = BookRating -1; THE BEST = BookRating + 3. Each expert system can have metadata associated with facts. A fact could be an author and could have an associated rating. Example of system: Fact structure: - AUTH_FACT: author name [rating] - RATING_FACT: author name, rating (possible values THE WORST, BAD, GOOD, THE BEST) Rules: 1. IF fact IS RATING_FACT AND <fact> CONTAINS 'THE WORST' THEN AUTHOR(fact)[rating] -= 3 2. IF fact IS RATING_FACT AND <fact> CONTAINS 'THE BEST' THEN AUTHOR(fact)[rating] += 3 3. ... similar for GOOD 4. ... similar for BAD * AUTHOR(fact) extracts the author associated with the fact. Hello Diana,

An expert system cannot analyze an unrestricted language (Type-0 language), like the spoken language. For this, you need to combine the expert system with some sort of natural language processing.

However, you could create a Type 3 language (a language that can be parsed with regular expressions) you could use the expert system to tokenize and interpret it. The condition (the IF part) will search for a specific token like “GOOD”, “BAD” or “THE BEST” and based on this criteria will rate the book. Ie: GOOD = BookRating +1; BAD = BookRating -1; THE BEST = BookRating + 3.

Each expert system can have metadata associated with facts. A fact could be an author and could have an associated rating.

Example of system:

Fact structure:
– AUTH_FACT: author name [rating]
– RATING_FACT: author name, rating (possible values THE WORST, BAD, GOOD, THE BEST)

Rules:
1. IF fact IS RATING_FACT AND CONTAINS ‘THE WORST’
THEN AUTHOR(fact)[rating] -= 3
2. IF fact IS RATING_FACT AND CONTAINS ‘THE BEST’
THEN AUTHOR(fact)[rating] += 3
3. … similar for GOOD
4. … similar for BAD

* AUTHOR(fact) extracts the author associated with the fact.

]]> By: Dianahttp://victorhurdugaci.com/just-one-project/comment-page-1/#comment-722 Diana Thu, 09 Jul 2009 16:52:49 +0000 http://victorhurdugaci.com/?p=1104#comment-722 This is the first time I hear about the Expert system. Since you know much more :), do you think that having a proper knowledge base, it could be use for establishing the semantics of a text? I mean, if I have the text "I read some book written by X and I really enjoyed it, it was a great book. The previous ones I read from X were not so good ". Could this expert system establish if my sentence is a positive or negative feedback? And to go further, is there any way to establish how good or bad is this feedback (for example, on a scale from 1 to 10). Maybe what I ask is stupid, but I thought I could give it a try and ask :). This is the first time I hear about the Expert system. Since you know much more :), do you think that having a proper knowledge base, it could be use for establishing the semantics of a text? I mean, if I have the text “I read some book written by X and I really enjoyed it, it was a great book. The previous ones I read from X were not so good “. Could this expert system establish if my sentence is a positive or negative feedback? And to go further, is there any way to establish how good or bad is this feedback (for example, on a scale from 1 to 10). Maybe what I ask is stupid, but I thought I could give it a try and ask :).

]]> By: Timotei Doleanhttp://victorhurdugaci.com/just-one-project/comment-page-1/#comment-679 Timotei Dolean Sat, 13 Jun 2009 10:34:58 +0000 http://victorhurdugaci.com/?p=1104#comment-679 Good luck at your bachelor thesis, I'm waiting to read it ;) Mhh.. Well, in my opinion I think the future will belong to Robotics, VR or AI. And an expert system may be considered part of the AI universe, or not? So yes, they will be used, mostly by robots, to develeop a "human-like" mind. Good luck at your bachelor thesis, I’m waiting to read it ;)

Mhh.. Well, in my opinion I think the future will belong to Robotics, VR or AI. And an expert system may be considered part of the AI universe, or not? So yes, they will be used, mostly by robots, to develeop a “human-like” mind.

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