“Board games have long fascinated artificial-intelligence (AI) researchers. They have clear rules, well-defined playing fields and objective winners and losers. This makes them perfect “sandpits” for training AI software. Sometimes, though, their rules contain glitches. Aficionados of Go will be familiar with ko fights—situations in which the basic rule set would permit a game to carry on for ever, and for which an exception had to be created. Avoiding similar problems in newly invented games is something AI can help with.
That, at least, is the experience of Alan Wallat, a board-game designer from London. His latest offering is Sirius Smugglers, in which interstellar merchants try to make an illicit profit. In the olden days, checking its rules would have involved lots of tests by human players, who would probably have wanted to be paid—in beer, perhaps, if not in cash.
Instead, he took his brainchild to Tabletop R&D, an AI startup, where a game-playing algorithm allowed him to play thousands of times in the blink of an eye. He was then able to scan the results for irregularities, statistical biases and any features that were under- or over-used.”
From The Economist.