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:

Jim Bagrow, Daniel Berenberg, Joshua Bongard. Neural language representations predict outcomes of scientific research. Preprint, 2018.
[pdf] [arXiv]
Jim Bagrow, Daniel Berenberg, Joshua Bongard. Supporting Material for “Neural language representations predict outcomes of scientific research”. Preprint, 2018.
Joshua Bongard. Modeling self and others. Living machines: A handbook of research in biomimetics and biohybrid systems, , , 2018.
[pdf] [journal page]
Shawn Beaulieu, Sam Kreigman, Joshua Bongard. Combating catastrophic forgetting with developmental compression. Preprint, 2018.
[pdf] [arXiv]
Sam Kreigman, Nicholas Cheney, Francesco Courucci, Joshua Bongard. Interoceptive robustness through environment-mediated morphological development. Preprint, 2018.
[pdf] [arXiv]
Anton Bernatskiy, Joshua Bongard. Evolving morphology automatically reformulates the problem of designing modular control. Adaptive Behavior, 47-64, 26, 2018.
[pdf] [journal page]
Mark Wagy, Joshua Bongard, Jim Bagrow, Paul Hines. Crowdsourcing Predictors of Residential Electric Energy Usage. IEEE Systems Journal, , , 2017.
[pdf] [journal page] [arXiv]
Zahra Mahoor, Jack Felag, Joshua Bongard. Morphology dictates a robot's ability to ground crowd-proposed language. Preprint, 2017.
[pdf] [arXiv]
Sam Kreigman, Nicholas Cheney, Joshua Bongard. How morphological development can guide evolution. Preprint, 2017.
[pdf] [arXiv]
Francesco Courucci, Nicholas Cheney, Francesco Giorgio-Serchi, Joshua Bongard, Cecilia Laschi. Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. Preprint, 2017.
[pdf] [arXiv]
(show all)

Most recent press: