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What is more effective in chess: neural networks or algorithms?
The most famous computer victories over humans: chess and go. The chess program was built on algorithms, and the program is a neural network. Have neural networks been built for chess, if so, how effective are they?
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Because Deep Blue took the path of brute force, they didn’t bother with neural networks in chess, until recently. The concentration of efforts was on tuning the evaluation algorithms. In 2015, a job appeared . But interest in this direction may be lost, because. the algorithms are already very compact, even the processor of a mobile device is enough to beat a protein grandmaster.
A person writes / encodes algorithms using a neural network, i.e. he must first learn to write them or take ready-made ones.
Therefore, a neural network is a "factory" for the production of algorithms.
Conclusion: a good and trained neural network is an (adaptive) algorithm.
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