The popular Science On Screen series returns to Santa Fe Wednesday evening, May 8, with Simon DeDeo and the 1992 cult hacker film Sneakers.
SFI's 2013 Community Lecture series debuted March 14 with UC-Boulder's Leysia Palen describing how victims, observers, and “citizen-responders” are using modern technology to participate in disaster response. Watch ...
Speaking at SFI yesterday, noted climate scientist James Hansen told an overflow crowd that efforts to stem climate change will be ineffectual as long as fossil fuels remain the cheapest ...
SFI's crowdfunding campaign has reached its goal. The resulting research will help scientists preserve the threatened landscapes on which indigenous human groups depend.
The 2012 Science On Screen series in Santa Fe wrapped up December 13 to a full house, with "The Gods Must Be Crazy" and Murray Gell-Mann's distinctive insight and ...
Colloquium
May 07, 2013
12:30 PM
Noyce Conference Room
Alison Gopnik (University of California, Berkeley)
Abstract. I argue for a theoretical link between the development of an extended period of immaturity in human evolution and the emergence of powerful and wide-ranging causal learning mechanisms, particularly the use of causal models and Bayesian learning. In fact, young children may actually be more wide-ranging and effective causal learners than adults. I argue that, particularly in the course of play, children perform more "high-temperature" searches of hypothesis spaces than adults do. In several empirical studies 4 year olds were better able to learn a low probability higher-order causal hypothesis from data than older children or adults were. In a second type of empirical study preschool children given new information about a causal system made very similar inferences both when they considered counterfactuals about the system and when they engaged in pretend play about it. Children's minds and brains appear to be especially well-adapted to deal with variability and novelty. Childhood, and childhood play in particular, may be evolutions way of performing simulated annealing — that is beginning with a wide high-temperature search of a problem-space and gradually "cooling" to more narrowly defined searches.
Purpose: Research Collaboration
SFI Host: Geoffrey West