Explaining why the move is good in human terms is useless goal. Good chess programs cannot do it nor it is meaningful. As the humans and computers have vastly different approach to selecting a move then by the definition have reasons for moves. As an example your second item 'long-term aji', For human an important short cut but computer a mere result for seeing far enough in the future or combining several features of postion into non-linear/linear computation.
Petri 2016-02-01 2:36 GMT+02:00 Robert Jasiek <jas...@snafu.de>: > On 31.01.2016 20:28, Peter Drake wrote: > >> pick a new research topic. >> > > - explain by the program to human players why MC / DNN play is good in > terms of human understanding of the game > - incorporate the difficult parts, such as long-term aji > - solve the game: prove the correct score, prove a weak solution, prove a > strong solution [These mathematics keep us busy for at least 400 years > unless bot research occurs earlier.] > - create computers that act as mathematicians incl. creativity, invention > of propositions and their proving [so that the bot researchers can solve > the game faster] > - teach the computer expert knowledge so that a) MC / DNN bots become even > stronger and b) programs can teach with explanation and reasoning > understood by human pupils > - apply computer go research to other fields while ensuring that the > humans cannot be the victims of bugs and ambiguous responsibilty towards > law and ethics [medicin or cars: who goes to jail if AI kills people, how > to prevent AI from ruling the world] > - Play "Conway / Jasiek": modify the rules, invent new games, apply > computers. > > Enough for research for centuries if not millenia, I'd say. > > "Game over / intelligence solved" - never heard greater nonsense before. > > -- > robert jasiek > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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