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Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. In “quant finance”—which, yes, coincidentally sounds a bit like “quantum”—it’s for example common to estimate prices from looking at the effects of all possible paths, say approximated by Monte Carlo.).
In 2000 I was interested in what the simplest possible axiom system for logic (Boolean algebra) might be. of what’s now Wolfram Language —we were trying to develop algorithms to compute hundreds of mathematical special functions over very broad ranges of arguments. Back in 1987—as part of building Version 1.0
Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. In “quant finance”—which, yes, coincidentally sounds a bit like “quantum”—it’s for example common to estimate prices from looking at the effects of all possible paths, say approximated by Monte Carlo.).
Then McCarthy started to explain ways a computer could do algebra. It was all algebra. And the only conclusion we can arrive at is that a person can’t do this much algebra with the hope of getting it right.” Richard Feynman and I would get into very fierce arguments. And he says “There’s a problem. It’s just my nature.
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