HASS Events

 

Issues speaker Bram van Heuveln, Lecturer, RPI
Sage 4101
August 27, 2014 12:00 PM - 1:30 PM

Professor Bram van Heuveln, Director of Undergraduate Studies in Cognitive Science, will review the latest news and informaton regarding the Cognitive Science BS program and opportunities for undergraduates to do independent study or research.

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In this talk I discuss developments over the past year on a new version of Clarion, an open-source implementation written in Python.  It is the foundation for Mockingbird, an interactive musical agent, which is intended to accompany a human performer in the genre known as "free improvisation," in the manner of composer Pauline Oliveros.
 
 

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University of Rochester professor Deci discusses current research on human motivation, focusing on self-determination theory and its differentiation between types and qualities of motivation. 

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Groundbreaking Neuroscientist Carl Hart to Discuss "High Price"
EMPAC Concert Hall
September 30, 2014 4:00 PM - 6:00 PM

Dr. Carl Hart, author of High Price: A Neuroscientist’s Journey of Self-Discovery That Challenges Everything You Know about Drugs and Society, is a groundbreaking neuroscientist at Columbia University. His story of growing up in one of Miami’s toughest neighborhoods shaped his scientific work in drug addiction. He will be the first speaker in the HASS Inquiry Lecture series for fall semester 2014.

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Professor Edward (Ted) Gibson, MIT,  Department of Brain and Cognitive Sciences explores the application of information and communication theory in an attempt to explain language usage and production.

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Marjorie McShane, Associate Professor, Cognitive Science
Sage 4101
October 15, 2014 12:00 PM - 1:30 PM

Will discuss "The computational cognitive modeling of reference resolution"

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Walter Boot, Assistant Professor of Psychology, Florida State
Sage 4101
October 22, 2014 12:00 PM - 1:30 PM

Will discuss, " Video Games as a Means to Improve Perceptual and Cognitive Abilities?  The Promise and Challenges of Video Game Research."

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Lebo presents an improved approach to analytic processes that enables analysts to spend less time wrangling data and more time analyzing it. 

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