Category Archives: Adaptive Behaviour

Models break down when you exploit them

Models break down when you exploit them. Examples: “Number of lines of debugged code” is a good measure of programmer productivity, until you tie programmer reward to it. The programmers write very verbose code. Stock price is a good measure … Continue reading

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Philosophy of AI

A while ago I gave a talk at the “Dangerous Ideas Seminar” at MIT’s AI Laboratory. It was called “Breaking Out of the Black Box.” It was about how people tend to create systems out of black boxes, yet systems … Continue reading

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Many Smaller Error Measures Better Than A Single Overall Measure

Eric Bonabeau pointed me to an interesting article on calibrating dynamic models: “Model calibration as a testing strategy for system dynamics models” by Rogelio Oliva in the European Journal of Operational Research (v. 151, 2003, pp. 552-568). In it, he … Continue reading

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