Link for Further info and PDF AI Submission to upcoming conference.
http://falazar.com/AI
I personally am leading a project that has as its goal learning from books. My process is different than others as it uses a large amount of recent popular novels.
It has successfully pulled out a lot of common sense information, and I am publishing a couple of papers on it, and hope to integrate it into a robot or simulated robot for household use, with the ability to know and reason about items in and around a household.
There are a few things on here that are correct though. You CANNOT gather enough information only from books, and the KNOWLEDGE extracted from these books is not in itself truly AI, BUT it is a MAJOR requirement, without the basic knowledge of the world, gained from a source like books, the AI would be totally incapable of moving, of learning any further data.
Here is a small overview of the Requirements for AI as we are working on it.
Goal of AI 1. Knowledge Gathering
a. Gathering a huge amount of data form a large corpora of novels using Natural Language Processing Teqhniques.
b. Knowledge Representation - storing the knowledge in a use, intuitive way, easily readable by both machine and human readers. 2. Machine Learning - based on the base Knowledge above, many other items of data can be learning, through inferences and logic, and specialized feedback algorithms. 3. Machine Interaction.
This is Unfortunatly a MUST. Any AI intelligence (That models humanity) must have the ability to interact on a physical level with humans and other intelligences. It is nearly impossible to describe in words, the effect, and sensation of atual physical feelings, touching and moving.
These three steps require a large amount of substeps between them, unfortunately which have not been accomplished yet. Namely: Natual Language Processing, Speech and Vision understanding, Speech Generation, Robotics, Knowledge Representation.
To date, only Applicational AI's have been created, all very limited in their abilities, usually in alimited domain as well, and not truly what I call AI. Pattern matching extraction, and following the programmer are more apt descriptions.
Cycorp, of Texas, at least starting taking steps in another direction, but their multi-year, many millions of dollar program is still very sorely lacking.
Slashdot Mirror
I personally am leading a project that has as its goal learning from books. My process is different than others as it uses a large amount of recent popular novels.
It has successfully pulled out a lot of common sense information, and I am publishing a couple of papers on it, and hope to integrate it into a robot or simulated robot for household use, with the ability to know and reason about items in and around a household. There are a few things on here that are correct though. You CANNOT gather enough information only from books, and the KNOWLEDGE extracted from these books is not in itself truly AI, BUT it is a MAJOR requirement, without the basic knowledge of the world, gained from a source like books, the AI would be totally incapable of moving, of learning any further data.
Here is a small overview of the Requirements for AI as we are working on it.
Goal of AI
1. Knowledge Gathering
a. Gathering a huge amount of data form a large corpora of novels using Natural Language Processing Teqhniques.
b. Knowledge Representation - storing the knowledge in a use, intuitive way, easily readable by both machine and human readers.
2. Machine Learning - based on the base Knowledge above, many other items of data can be learning, through inferences and logic, and specialized feedback algorithms.
3. Machine Interaction.
This is Unfortunatly a MUST. Any AI intelligence (That models humanity) must have the ability to interact on a physical level with humans and other intelligences. It is nearly impossible to describe in words, the effect, and sensation of atual physical feelings, touching and moving.
These three steps require a large amount of substeps between them, unfortunately which have not been accomplished yet. Namely: Natual Language Processing, Speech and Vision understanding, Speech Generation, Robotics, Knowledge Representation.
To date, only Applicational AI's have been created, all very limited in their abilities, usually in alimited domain as well, and not truly what I call AI. Pattern matching extraction, and following the programmer are more apt descriptions.
Cycorp, of Texas, at least starting taking steps in another direction, but their multi-year, many millions of dollar program is still very sorely lacking.