Author: Steve Maughan
Date: 03:15:47 12/29/01
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Tom, >Has this been done before? Are there any glaring problems with this idea? Does >anybody want to try this? If so, I'd like some credit for it. If not, I'll >probably get around to trying it sometime... I had a similar idea but haven't got round to testing it. I think it possibly will work. In many respects it is analogous to training Neural Networks via Backpropagation. It's probably worth having a search on the web for info in backpropagation training as it may trigger some thought processes. Another idea may be to run this for a large number of positions (~10,000) with a shallow search (4 ply) and collect all of the coefficient deltas - applying the changes at the end. This may give a more stable situation. I don't think you need a particularly deep search for this to work since all you're trying to do is improve a static evaluation with a search + static evaluation - i.e. any amount of searching will be better than none at all. It's also probably better to use positions were the best move is not a capture. Some people may critisise this as it will not find the optimal evaluation but I think it may at least improve it - and that's a start. Just my random thoughts! Let us know how it works out! Regards, Steve
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