Author: Vasik Rajlich
Date: 07:04:28 02/15/06
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On February 15, 2006 at 03:07:50, Joseph Ciarrochi wrote: >I have a naive question... > >in my understanding, Fruit has excellent search efficiency but not huge amounts >of knowledge. In contrast, Fritz 9 and Rybka have substantial knowledge. If you >can trust Rybka's depth outputs, it does not seem to be as quick at getting to >deeper plys. > >I have observed that Fruit 2.2.1 tends to play poorly at blitz and improve >steadly with long time controls, with it being an absolute god on the longest >time controls (SSDF). In contrast, both rybka and fritz 9 play blitz well. > >do programs with more knowledge tend to play blitz better? Knowledge is kind of >a quick, heuristic way of making a decision about what is likely to work. It >presumably can come into play very quickly. In contrast, search takes time. >However, it does discover when the knowledge is not useful (i.e., when the >knowledge heuristic is inconsistent with the concrete variations uncovered by >search; e.g., doubled pawns may generally be bad (knowledge heuristic), but in >some situations can be quite good) > >is my reasoning correct? Maybe it would help for me to understand what >constitutes "knowledge" in a chess program. I always presume its things like >"doubled pawns are often bad" or two bishops are good, or it is often good to >push pawns and have space.. > > >best >Joseph We need to keep our terminology straight. Chess knowledge (in the context of computer chess) is what makes a program play well. At standard time controls, Fruit probably has a tiny bit more chess knowledge than Fritz and Hiarcs. You can also talk about the complexity of a chess program. Hiarcs is probably the most complex of the above three, and Fruit the simplest. Shredder is another complex program. I suspect that the more complex programs are better at faster time controls. BTW - one (unfortunate) way to measure program complexity is: [program bugs or weird behaviors] * [program ELO] Vas
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