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Hi Mats, you are arguing for a fast creating of a good chess playing program. A lot of programmers act like that. They establish a lot of methods to copycat human behavior and to replace intelligence by always growing looking up tables, calling this e.g. position learning. (Moreover they copycat each other among some few creative authors of OpenSource projects.) But that is not at all the kind of learning which deserves that name, instead it is a continued replacing of intelligence (which is proving itself by good results at RESTRICTED means) by stupid looking up. I do not claim, that that common modus operandi would not gain success, in chess it created programs better playing than human masters, and checkers seems to be solved by that. But that method might fail at more complex games like already 10x8 chess or anyway at the 19x19 go game, because it is an anti-intelligent approach. Regard the SMIRF project as an intermediate drosophila for to find methods to handle the go game much later using the made experiences.