Joshua Clifford Bongard

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 8

Top Topics

Evolutionary Robotics

Neural Dynamics

Complex Biological Systems

Symbolic Regression

Top Venues

Publications

Amanda Bertschinger, James P. Bagrow, Joshua Clifford Bongard
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks. GECCO (2024)
Joshua Clifford Bongard, Michael Levin
There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines. CoRR (2022)
Douglas Blackiston, Emma Lederer, Sam Kriegman, Simon Garnier, Joshua Clifford Bongard, Michael Levin
A cellular platform for the development of synthetic living machines. Sci. Robotics 6 (52) (2021)
Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard
Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. PPSN (1) (2018)
James P. Bagrow, Daniel Berenberg, Joshua Clifford Bongard
Neural language representations predict outcomes of scientific research. CoRR (2018)
Jake Brawer, Aaron Hill, Kenneth R. Livingston, Eric Aaron, Joshua Clifford Bongard, John H. Long Jr.
Epigenetic Operators and the Evolution of Physically Embodied Robots. Frontiers Robotics AI 4 (2017)
Thomas C. McAndrew, Joshua Clifford Bongard, Christopher M. Danforth, Peter Sheridan Dodds, Paul D. H. Hines, James P. Bagrow
What we write about when we write about causality: Features of causal statements across large-scale social discourse. ASONAM (2016)
Nicholas Livingston, Anton Bernatskiy, Kenneth R. Livingston, Marc L. Smith, Jodi Schwarz, Joshua Clifford Bongard, David Wallach, Evan Altiero, John H. Long Jr.
Embodiment Effects in Evolutionary Robotics. CogSci (2016)
Mark Wagy, Joshua Clifford Bongard
Collective Design of Robot Locomotion. ALIFE (2014)
James P. Bagrow, Suma Desu, Morgan R. Frank, Narine Manukyan, Lewis Mitchell, Andrew J. Reagan, Eric E. Bloedorn, Lashon B. Booker, Luther Karl Branting, Michael J. Smith, Brian F. Tivnan, Christopher M. Danforth, Peter Sheridan Dodds, Joshua Clifford Bongard
Shadow networks: Discovering hidden nodes with models of information flow. CoRR (2013)
Shane Eric Celis, Gregory S. Hornby, Joshua Clifford Bongard
Avoiding local optima with user demonstrations and low-level control. IEEE Congress on Evolutionary Computation (2013)
Ilknur Icke, Joshua Clifford Bongard
Improving genetic programming based symbolic regression using deterministic machine learning. IEEE Congress on Evolutionary Computation (2013)
Ilknur Icke, Nicholas A. Allgaier, Christopher M. Danforth, Robert A. Whelan, Hugh P. Garavan, Joshua Clifford Bongard
A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data. GPTP (2013)
Ilknur Icke, Joshua Clifford Bongard
Modeling hierarchy using symbolic regression. IEEE Congress on Evolutionary Computation (2013)
Ilknur Icke, Joshua Clifford Bongard
Automatic identification of hierarchy in multivariate data. GECCO (Companion) (2013)
Joshua Clifford Bongard, Derek P. Brock, Samuel G. Collins, Ramani Duraiswami, Tim Finin, Ian Harrison, Vasant G. Honavar, Gregory S. Hornby, Ari K. Jónsson, Mike Kassoff, David Kortenkamp, Sanjeev Kumar, Ken Murray, Alexander I. Rudnicky, Goran Trajkovski
Reports on the 2006 AAAI Fall Symposia. AI Mag. 28 (1) (2007)