John Holland was able to teach computer programs to become intelligent in situations you are not well defined so the program had to make some sense out of what was going on and then repetitively figure out what moves if you like were good in that situation. So it boots strapped its way up and became smarter and smarter. In 1988 I realized about a year later that wouldn't work so when I saw John the following summer which was 1988 in the Santa Fe we went out to lunch he said but what we could do is to model a stock market on the computer using John's ideas of getting smart they would realize under what circumstances each little investorEach artificially intelligent program would realize how to recognize the situation
In our last episode, we heard from W. Brian Arthur, who shared his journey in economics as he studied increasing returns. Now, Brian's going to take us to 1987, to a small meeting in the Rockies in Santa Fe. At this time, he was struggling to gain recognition for his work within the economics community, but it was when Brian went to what would become the Santa Fe Institute that things really kicked off.
In this episode, you're going to hear again from W. Brain Arthur, External Professor at the Santa Fe Institute, and Researcher at Palo Alto Research Center, as he remembers the early days of the Santa Fe Institute. From the early meetings of economists, physicists, and a biologist that started it all, to an early model Brian built of a stock market that was unique to any models before it — because this model included booms and busts.
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