Core team:

Joshua Bongard

University of Vermont

Department of Computer Science, Associate Professor

Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.

Most recent papers:

Nick Allgaier, Joshua Bongard, Peter Sheridan Dodds, Chris Danforth, Hugh Garavan, Robert A. Whelan. Nonlinear functional mapping of the human brain. 2016.
[pdf] [arXiv]
Tom McAndrew, Joshua Bongard, Chris Danforth, Peter Sheridan Dodds, Paul Hines, James Bagrow. What we talk about when we talk about causality: Features of causal statements across large-scale social discourse.. 2016.
Hod Lipson, Joshua Bongard. Automated Damage Diagnosis and Recovery for Remote Robotics. 2004.
[pdf] [journal page]
Brian Wansink, Joshua Bongard, Kirsten E. Bevelander, Kirsikka Kaipainen, Paul Hines, Robert Swain, Simone Dohle. Crowdsourcing Novel Childhood Predictors of Adult Obesity. 1950.
[pdf] [journal page]
Joshua E. Auerbach, Joshua Bongard. Environmental Influence on the Evolution of Morphological Complexity in Machines. 1950.
[pdf] [journal page]
Dylan Conger, Joshua Bongard, Paul Hines, Peter Hurd, Zhenyu Lu. Crowdsourcing Predictors of Behavioral Outcomes. 2012.
[pdf] [arXiv]
Joshua Bongard. Morphological change in machines accelerates the evolution of robust behavior. 1950.
[pdf] [journal page]
Joshua Bongard. Innocent Until Proven Guilty: Reducing Robot Shaping From Polynomial to Linear Time. 1950.
[pdf] [journal page]
Andrew N. Meltzoff, Joshua Bongard, Krishnanand N. Kaipa. Self discovery enables robot social cognition: Are you my teacher?. 1950.
[pdf] [journal page]
(show all)

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