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DTSTAMP:20260404T122740Z
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DTSTART;VALUE=DATE:20160622
DTEND;VALUE=DATE:20160623
CLASS:PUBLIC
CREATED:20160617T071927
DESCRIPTION: Synopsis \nOver the past 20 years\, experimental evidence has 
 been quietly mounting for a counterintuitive new picture of the way our mi
 nds work. \n\n This hypothesis\, which my colleagues and I term the Evolve
 d Algorithms Hypothesis\, makes a number of claims: that our minds bear th
 e strong imprint of our evolutionary past\, that most of our motivational 
 and decision-making machinery operates outside conscious awareness\, that 
 our rationalizations of our actions are mostly after-the-fact and not pred
 ictive of our behavior. (Academic researchers working in this paradigm inc
 lude Leda Cosmides\, John Tooby\, Joshua Tenenbaum\, Tom Griffiths\, Micha
 el Gazzaniga\, Joseph LeDoux\, Michael Tomasello\, Robert Trivers\, C. Ran
 dy Gallistel.) \n\n In this talk I'll present some of the key experiments 
 that lend support to the Evolved Algorithms Hypothesis. I'll then describe
  what this hypothesis implies about our cognitive architecture\, and ask w
 hat this new science might make possible. \n\n Bio \nShaun Martin is the c
 ofounder &amp\; CEO of Applied Cognitive Science. He previously held lectu
 ring and research positions at MIT and at the Institute for Advanced Study
  at Princeton. He has a doctorate in mathematics from Oxford University.\n
 @shaunmartin \n\n Time \n12:30pm \n\n Date \nWednesday 22 June 2016 \n
LAST-MODIFIED:20201011T095210
LOCATION:Pivotal SF
SUMMARY:In Search of Human Cognition: The Evolved Algorithms Hypothesis
URL;VALUE=URI:https://ti.to/acs/evolved-algos-22jun2016
URL;VALUE=URI:https://ti.to/acs/evolved-algos-22jun2016
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