Progress in artificial intelligence
- Progress in artificial intelligence
Artificial intelligence can be evaluated on constrained and well-defined problems that allow comparison with human performance. Such tests have been termed subject matter expert Turing tests. Smaller problems provide more achievable goals and there are an ever-increasing number of positive results.
Performance evaluation
The broad classes of outcome for an AI test are:
* optimal: it is not possible to perform better
* strong super-human: performs better than all humans
* super-human: performs better than most humans
* sub-human: performs worse than most humans
Optimal
* Checkers [cite web | url=http://www.sciencemag.org/cgi/content/abstract/1144079 | title=Checkers Is Solved | date=2007-07-19 | accessdate=2007-07-20 | publisher=Science | first=Jonathan | last=Schaeffer]
uper-human
* Backgammon: strong super-human [cite journal |last=Tesauro |first=Gerald |url=http://www.research.ibm.com/massive/tdl.html |title=Temporal difference learning and TD-Gammon |journal=Communications of the ACM |volume=38 |issue=3 |month=March |year=1995 |pages=58–68 |doi=10.1145/203330.203343]
* Bridge: nearing strong super-human [Computer bridge#Computers versus humans]
* Chess: nearing strong super-human [Computer Chess#Computers versus humans]
* Reversi: strong super-human [Reversi#Computer_opponents]
* Scrabble: strong super-human [doi|10.1016/S0004-3702(01)00166-7]
ub-human
* Go [Computer Go#Computers versus humans]
* Machine translation
* Most everyday tasks performed by humans.
ee also
*Technology development
References
Wikimedia Foundation.
2010.
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