I think this is a very interesting question for many of us as it is, just to know the SOTA. This knowledge could serve as a good guideline for writing software.
Although, I would be interested about, which is the best of open-source softwares as well (I'm mostly, but not exclusively interested in Java). Knowing this, we may reduce the number of lines written, and increase the power of our software.
One software which could be worth to mention here is the Weka data-mining toolbox, which I'm using as a component for RL. Although this is an edducational software, and as far as I could see it some of the DM tools in it are definitely not the state of the art, the whole software package was very usefull, since it provided a wide range of different algorithms, without coding a single line (not considering the efforts to unify the interfaces of my software and Weka).
Thank you,
Mark
On 10/19/06, Peter Voss <[EMAIL PROTECTED]> wrote:
I'm often asked about state-of-the-art in AI, and would like to get some
opinions.
What do you regard, or what is generally regarded as SOTA in the various AI
aspects that may be, or may be seen to be relevant to AGI?
For example:
- Comprehensive (common-sense) knowledge-bases and/or ontologies
- Inference engines, etc.
- Adaptive expert systems
- Question answering systems
- NLP components such as parsers, translators, grammar-checkers
- Interactive robotics systems (sensing/ actuation) - physical or virtual
- Vision, voice, pattern recognition, etc.
- Interactive learning systems
- Integrated intelligent systems
... whatever ...
I'm looking for the best functionality -- irrespective of proprietary,
open-source, or academic.
Peter
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