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William Wulf's 2005 essay arguing that in the U.S. we are trading "the appearance of near-term security for the reality of long-term damage to our system of research and education—and hence to our real security."
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Combining massive quantities of data, insights into human psychology, and machine learning can help manage surprising events, says Eric Horvitz.
What do you think of that TR10 Modeling Surprise article? I am pretty unconvinced, myself, with the key being that 'surprise' is too undisciplined a term to capture uncertainty into the future. I particularly find the 'find an anomaly, then backtrack 30 minutes to ascertain where the anomaly began' troubling in its post-hoc assumption about what will surprise us. But I'm curious what you think here.
Posted by: Peter L | March 05, 2008 at 12:18 PM