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ion of military information” was driving political leaders in the United States to adopt a “secretive frame of mind paralleled in history only in the Venice of the Renaissance.” Wiener, echoing many outspoken veterans of the Manhattan Project, argued that the postwar obsession with secrecy—especially arou
e question this way and go through the mathematical literature, you discover that there’s one generally best way to do this. It’s called “distributed Thompson sampling,” a mathematical algorithm used in choosing, out of a set of possible actions with unknown payoffs, the action that maximizes the expected r
ion of military information” was driving political leaders in the United States to adopt a “secretive frame of mind paralleled in history only in the Venice of the Renaissance.” Wiener, echoing many outspoken veterans of the Manhattan Project, argued that the postwar obsession with secrecy—especially arou
e question this way and go through the mathematical literature, you discover that there’s one generally best way to do this. It’s called “distributed Thompson sampling,” a mathematical algorithm used in choosing, out of a set of possible actions with unknown payoffs, the action that maximizes the expected r
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