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Posted 12 June 2012 - 05:38 PM
Posted 12 June 2012 - 06:25 PM
Posted 12 June 2012 - 06:50 PM
Posted 12 June 2012 - 09:06 PM
There are some interesting developments in games like Go, where AI is still very primitive compared to even novice players; and there are other interesting things going on where games like Checkers are completely solved for all possible games [...]
Posted 15 June 2012 - 06:16 AM
Edited by clickalot, 15 June 2012 - 06:18 AM.
Posted 16 June 2012 - 09:49 AM
Posted 06 July 2012 - 03:46 PM
I assume this is what ApochPiQ was referring to when he described the term AI as overloaded. IMHO, most of the examples you give are not intelligence at all, rather, they are heuristic or algorithmic solutions to problems. Personally, I would prefer to reserve the term intelligence for solvers, not solutions. I think this is really where the divide between academic and industrial/practical AI is most noticeable. Most research and development tends to focus on solvers, or at least generalized solutions.
The state of the art is IBMs Watson. Nothing else comes close to it's achievements.
Second to that is Microsoft Kinect. It detects people and estimates poses in real time, even against cluttered backgrounds. Very artificially intelligent.
Most of the best AI is in things you don't notice... Path estimation to reduce the appearance of lag, algorithms to ensure realistic poses and animations, navigation algorithms, etc...
Most video game NPCs use scripted behavior or simple hard coded behaviors. You will find the most interesting AI where a machine needs to interface with reality, but at that point it tends to become very transparent.
Some UAVs have pretty slick AI for target tracking and line-of-sight planning. Googles self driving car is another example.
Posted 18 July 2012 - 08:02 PM