Thanks guys, I’m stuggling here with computers, making an interactive presentation (powerpoint plugins, virtual machines on Apple), on you’re attacking me . We’ll here we go:
Chuck Bolin - Aug 19, 2010:
I don’t quite agree. When a chat bot is developed that can chat or converse in a forum such as this…that will be quite a significant breakthrough.
Yes, that would be an enormous breakthrough. On my computer, I’ve a video interview with Hugh Loebner, who has been organizeing his Turing test for 20 years. He’s very sceptical about breakthroughs in this area. However, computers have passed the Turing test in specific areas, withs millions of areas to go.
I do believe speed in increasing intelligence has rise. I truely believe in the future of chatbots (that might be the reason why I started this whole thing ). However, I don’t believe this breakthrough will come from NLP.
Victor Shulist - Aug 19, 2010:
Oh, and I agree, you guys are great to discuss this stuff with ! I’m not always in 100% agreement, but that’s ok, as a friend of mine says… “healthy debates” I am starting to learn what your definition of “pattern matching” is, and the more I do, the more I’m actually finding I do agree
Look forward to discuss with you in real life! We’ll organize conferences, and I personally it would be fun to a have a phililosophy night for non-philosophers (real philosophers assume you have knowledge of all philosphoy models, it’s impossible to talk with them)
From an academic perspective (we don’t have to use that here) pattern recognition is the art of recognizing partterns in information, however information is defined. It can be bits, it can be analogue waves. It can representation audio, video, sonar signals, telescopic waves from scape. What’t the logic in all this? Can we represent what will be next? Can we develop comppressing mechanisms? Can we develop security algorithms? It’s all about recognizing patterns.
When we talk about pattern recognition in the chatbot context, we often talk about matching words. Let me give another example of pattern recognition in academic sense:
Thats’ nice car!
I don’t like it…
This apple is delicious
I hate apples
I love this weather
The sun is too hot.
What’s the pattern? Humans see this right away and a dialogue will immediately change. That’s not the pattern recognition we’re talking about right now.
I believe that we’ll define emotional state, preferred emtional state, and input that feeds emotional state (such as warmth on our skin, sensory input on what we observe), that than NLP will be the next step.
So the research we’re currently developig is awesome, but the true breakthrough will come from another area and NLP will then accelarate the developments.
Dave Morton - Aug 19, 2010:
Now I may be wrong, but it’s my considered opinion that NLP IS pattern recognition, though it processes the recognized patterns in a far different manner than what “standard” pattern recognition does.
I don’t agree. NLP can be pattern recognition, but there are other approaches to NLP as well.
Pattern recognition is a concept from Information Theory, and is about recognizing patterns we’ve seen before, analogue or digital.
Researchers are now for example looking in patterns of chemicals and other substances in our blood in relation with deceases. Pattern recognition as well.