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Josh C. Bongard

Joshua Clifford Bongard

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affiliation: University of Vermont, USA
award (2010): Presidential Early Career Award for Scientists and Engineers

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2020 – today

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2024
[j34]
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Dylan S. Shah, Joshua P. Powers, Liana G. Tilton, Sam Kriegman, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Author Correction: A soft robot that adapts to environments through shape change. Nat. Mac. Intell. 6(4): 493 (2024)
[c103]
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Amanda Bertschinger, James P. Bagrow, Joshua Clifford Bongard:
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks. GECCO 2024
[c102]
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Medha Goyal, Maggy Lambo, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Merging Variable Stiffness Fiber Patterns on Multi-Shape Robotic Sheets. RoboSoft 2024: 894-899
[i32]
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  - journals/corr/abs-2404-04825
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Atoosa Parsa, Corey S. O'Hern, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Gradient-based Design of Computational Granular Crystals. CoRR abs/2404.04825 (2024)
2023
[j33]
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Josh C. Bongard:
From rigid to soft to biological robots. Artif. Life Robotics 28(2): 282-286 (2023)
[c101]
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Caitlin Grasso, Josh C. Bongard:
Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata. GECCO 2023: 147-155
[c100]
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Atoosa Parsa, Sven Witthaus, Nidhi Pashine, Corey S. O'Hern, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Universal Mechanical Polycomputation in Granular Matter. GECCO 2023: 193-201
[c99]
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Federico Pigozzi, Stephanie J. Woodman, Eric Medvet, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Morphology Choice Affects the Evolution of Affordance Detection in Robots. GECCO 2023: 211-219
[c98]
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Amanda Bertschinger, Q. Tyrell Davis, James P. Bagrow, Josh C. Bongard:
The Metric is the Message: Benchmarking Challenges for Neural Symbolic Regression. ECML/PKDD (4) 2023: 161-177
[c97]
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Q. Tyrell Davis, Stephanie J. Woodman, Melanie Landesberg, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Subtract to Adapt: Autotomic Robots. RoboSoft 2023: 1-6
[c96]
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Atoosa Parsa, Medha Goyal, Maggy Lambo, Bilige Yang, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Evolving variable stiffness fiber patterns for multi-shape robotic sheets. RoboSoft 2023: 1-7
[i31]
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  - journals/corr/abs-2305-15220
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Caitlin Grasso, Josh C. Bongard:
Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata. CoRR abs/2305.15220 (2023)
[i30]
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  - journals/corr/abs-2305-17872
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Atoosa Parsa, Sven Witthaus, Nidhi Pashine, Corey S. O'Hern, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Universal Mechanical Polycomputation in Granular Matter. CoRR abs/2305.17872 (2023)
[i29]
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  - journals/corr/abs-2306-03263
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David Matthews, Andrew Spielberg, Daniela Rus, Sam Kriegman, Josh C. Bongard:
Efficient automatic design of robots. CoRR abs/2306.03263 (2023)
2022
[j32]
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  - journals/alife/BongardLHDS22
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Josh C. Bongard, Juniper L. Lovato, Laurent Hébert-Dufresne, Radhakrishna Dasari, Lisa B. Soros:
Editorial: Introduction to the 2020 Conference on Artificial Life Special Issue. Artif. Life 27(3-4): 141-142 (2022)
[j31]
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  - journals/natmi/KudithipudiABBB22
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Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022)
[c95]
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  - conf/evoW/ParsaWOSKB22
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Atoosa Parsa, Dong Wang, Corey S. O'Hern, Mark D. Shattuck, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Evolution of Acoustic Logic Gates in Granular Metamaterials. EvoApplications 2022: 93-109
[c94]
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  - conf/gecco/DavisB22
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Q. Tyrell Davis, Josh C. Bongard:
Selecting continuous life-like cellular automata for halting unpredictability: evolving for abiogenesis. GECCO Companion 2022: 104-107
[c93]
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Caitlin Grasso, Josh C. Bongard:
Empowered neural cellular automata. GECCO Companion 2022: 108-111
[c92]
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Atoosa Parsa, Dong Wang, Corey S. O'Hern, Mark D. Shattuck, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Evolving programmable computational metamaterials. GECCO 2022: 122-129
[i28]
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  - journals/corr/abs-2204-07541
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Q. Tyrell Davis, Josh C. Bongard:
Selecting Continuous Life-Like Cellular Automata for Halting Unpredictability: Evolving for Abiogenesis. CoRR abs/2204.07541 (2022)
[i27]
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  - journals/corr/abs-2204-08651
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Atoosa Parsa, Dong Wang, Corey S. O'Hern, Mark D. Shattuck, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Evolving Programmable Computational Metamaterials. CoRR abs/2204.08651 (2022)
[i26]
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  - journals/corr/abs-2205-06771
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Caitlin Grasso, Josh C. Bongard:
Empowered Neural Cellular Automata. CoRR abs/2205.06771 (2022)
[i25]
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  - journals/corr/abs-2205-12728
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Q. Tyrell Davis, Josh C. Bongard:
Step Size is a Consequential Parameter in Continuous Cellular Automata. CoRR abs/2205.12728 (2022)
[i24]
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  - journals/corr/abs-2207-00880
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Douglas Blackiston, Sam Kriegman, Josh C. Bongard, Michael Levin:
Biological Robots: Perspectives on an Emerging Interdisciplinary Field. CoRR abs/2207.00880 (2022)
[i23]
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  - journals/corr/abs-2212-10675
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Joshua Clifford Bongard, Michael Levin:
There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines. CoRR abs/2212.10675 (2022)
2021
[j30]
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  - journals/natmi/ShahPTKBK21
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Dylan S. Shah, Joshua P. Powers, Liana G. Tilton, Sam Kriegman, Josh C. Bongard, Rebecca Kramer-Bottiglio:
A soft robot that adapts to environments through shape change. Nat. Mach. Intell. 3(1): 51-59 (2021)
[j29]
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  - journals/scirobotics/BlackistonLKGBL21
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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): 1571 (2021)
[c91]
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  - conf/robosoft/YangPPBK21
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Bilige Yang, Joshua P. Powers, Atoosa Parsa, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Shape Matching: Evolving Fiber Constraints on a Pneumatic Bilayer. RoboSoft 2021: 630-635
[c90]
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  - conf/rss/KriegmanNBSLKB21
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Sam Kriegman, Amir Mohammadi Nasab, Douglas Blackiston, Hannah Steele, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Scale invariant robot behavior with fractals. Robotics: Science and Systems 2021
[i22]
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  - journals/corr/abs-2103-04876
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Sam Kriegman, Amir Mohammadi Nasab, Douglas Blackiston, Hannah Steele, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Scale invariant robot behavior with fractals. CoRR abs/2103.04876 (2021)
[i21]
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  - journals/corr/abs-2108-08398
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Joshua P. Powers, Ryan Grindle, Lapo Frati, Josh C. Bongard:
A good body is all you need: avoiding catastrophic interference via agent architecture search. CoRR abs/2108.08398 (2021)
2020
[j28]
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  - journals/alife/VeenstraSSBR20
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Frank Veenstra, Pablo González de Prado Salas, Kasper Støy, Josh C. Bongard, Sebastian Risi:
Death and Progress: How Evolvability is Influenced by Intrinsic Mortality. Artif. Life 26(1): 90-111 (2020)
[j27]
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Sam Kriegman, Douglas Blackiston, Michael Levin, Josh C. Bongard:
A scalable pipeline for designing reconfigurable organisms. Proc. Natl. Acad. Sci. USA 117(4): 1853-1859 (2020)
[c89]
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  - conf/icra/RosserKCB20
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Kent Rosser, Jia Kok, Javaan S. Chahl, Josh C. Bongard:
Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design. ICRA 2020: 7001-7007
[c88]
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  - conf/isalalife/PowersGKFCB20
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Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard:
Morphology dictates learnability in neural controllers. ALIFE 2020: 52-59
[c87]
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Joshua P. Powers, Sarah Pell, Josh C. Bongard:
A Framework for Search and Application Agnostic Interactive Optimization. ALIFE 2020: 60-68
[c86]
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  - conf/isalalife/MatthewsB20
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David Matthews, Josh C. Bongard:
Crowd grounding: finding semantic and behavioral alignment through human robot interaction. ALIFE 2020: 148-156
[c85]
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Sam Kriegman, Amir Mohammadi Nasab, Dylan S. Shah, Hannah Steele, Gabrielle Branin, Michael Levin, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Scalable sim-to-real transfer of soft robot designs. RoboSoft 2020: 359-366
[e3]
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Josh C. Bongard, Juniper L. Lovato, Laurent Hébert-Dufresne, Radhakrishna Dasari, Lisa B. Soros:
2020 Conference on Artificial Life, ALIFE 2020, online, July 13-18, 2020. MIT Press 2020 [contents]
[i20]
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  - journals/corr/abs-2008-06397
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Dylan S. Shah, Joshua P. Powers, Liana G. Tilton, Sam Kriegman, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Gaining environments through shape change. CoRR abs/2008.06397 (2020)

2010 – 2019

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2019
[j26]
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Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman:
Machine behaviour. Nat. 568(7753): 477-486 (2019)
[c84]
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David Matthews, Sam Kriegman, Collin Cappelle, Josh C. Bongard:
Word2vec to behavior: morphology facilitates the grounding of language in machines. IROS 2019: 4153-4160
[c83]
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Sam Kriegman, Stephanie Walker, Dylan S. Shah, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Automated Shapeshifting for Function Recovery in Damaged Robots. Robotics: Science and Systems 2019
[i19]
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  - journals/corr/abs-1905-09264
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Sam Kriegman, Stephanie Walker, Dylan S. Shah, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Automated shapeshifting for function recovery in damaged robots. CoRR abs/1905.09264 (2019)
[i18]
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  - journals/corr/abs-1908-01211
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David Matthews, Sam Kriegman, Collin Cappelle, Josh C. Bongard:
Word2vec to behavior: morphology facilitates the grounding of language in machines. CoRR abs/1908.01211 (2019)
[i17]
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  - journals/corr/abs-1910-07487
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Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard:
Embodiment dictates learnability in neural controllers. CoRR abs/1910.07487 (2019)
[i16]
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  - journals/corr/abs-1910-13790
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Kent Rosser, Jia Kok, Javaan S. Chahl, Josh C. Bongard:
Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design. CoRR abs/1910.13790 (2019)
[i15]
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  - journals/corr/abs-1911-10290
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Sam Kriegman, Amir Mohammadi Nasab, Dylan S. Shah, Hannah Steele, Gabrielle Branin, Michael Levin, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Scalable sim-to-real transfer of soft robot designs. CoRR abs/1911.10290 (2019)
2018
[j25]
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Anton Bernatskiy, Josh C. Bongard:
Evolving morphology automatically reformulates the problem of designing modular control. Adapt. Behav. 26(2): 47-64 (2018)
[j24]
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Mark D. Wagy, Josh C. Bongard, James P. Bagrow, Paul D. H. Hines:
Crowdsourcing Predictors of Residential Electric Energy Usage. IEEE Syst. J. 12(4): 3151-3160 (2018)
[c82]
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Nicholas Livingston, Ben K. Tidswell, Meghan Willcoxon, Theresa Law, Gabriel Dell'Accio, Mackenzie Little, John H. Long Jr., Josh C. Bongard, Kenneth R. Livingston:
Gene Duplication, Modularity, and the Evolution of Intelligence in Simulated and Real Robots. CogSci 2018
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Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
Interoceptive robustness through environment-mediated morphological development. GECCO 2018: 109-116
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Joshua P. Powers, Sam Kriegman, Josh C. Bongard:
Embodiment can combat catastrophic forgetting. GECCO (Companion) 2018: 119-120
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Shawn L. E. Beaulieu, Sam Kriegman, Josh C. Bongard:
Combating catastrophic forgetting with developmental compression. GECCO 2018: 386-393
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Frank Veenstra, Pablo González de Prado Salas, Josh C. Bongard, Kasper Støy, Sebastian Risi:
Intrinsic Mortality Governs Evolvability. ALIFE 2018: 242-249
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Collin Cappelle, Josh C. Bongard:
Embodied Embeddings for Hyperneat. ALIFE 2018: 461-468
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Joshua P. Powers, Sam Kriegman, Josh C. Bongard:
The effects of morphology and fitness on catastrophic interference. ALIFE 2018: 606-613
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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: 525-536
[i14]
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Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
Interoceptive robustness through environment-mediated morphological development. CoRR abs/1804.02257 (2018)
[i13]
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Shawn L. E. Beaulieu, Sam Kriegman, Josh C. Bongard:
Combating catastrophic forgetting with developmental compression. CoRR abs/1804.04286 (2018)
[i12]
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James P. Bagrow, Daniel Berenberg, Joshua Clifford Bongard:
Neural language representations predict outcomes of scientific research. CoRR abs/1805.06879 (2018)
2017
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David Buckingham, Josh C. Bongard:
Physical Scaffolding Accelerates the Evolution of Robot Behavior. Artif. Life 23(3): 351-373 (2017)
[j22]
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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: 1 (2017)
[j21]
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Francesco Corucci, Nick Cheney, Sam Kriegman, Josh C. Bongard, Cecilia Laschi:
Evolutionary Developmental Soft Robotics As a Framework to Study Intelligence and Adaptive Behavior in Animals and Plants. Frontiers Robotics AI 4: 34 (2017)
[c74]
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Anton Bernatskiy, Josh C. Bongard:
Choice of robot morphology can prohibit modular control and disrupt evolution. ECAL 2017: 60-67
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Collin Cappelle, Anton Bernatskiy, Josh C. Bongard:
Ecological modularity as a means to reduce necessary training environments in evolutionary robotics. GECCO (Companion) 2017: 53-54
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Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
A minimal developmental model can increase evolvability in soft robots. GECCO 2017: 131-138
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Sam Kriegman, Collin Cappelle, Francesco Corucci, Anton Bernatskiy, Nick Cheney, Josh C. Bongard:
Simulating the evolution of soft and rigid-body robots. GECCO (Companion) 2017: 1117-1120
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Collin Cappelle, Anton Bernatskiy, Josh C. Bongard:
Reducing Training Environments in Evolutionary Robotics Through Ecological Modularity. Living Machines 2017: 95-106
[i11]
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Nick Cheney, Josh C. Bongard, Vytas SunSpiral, Hod Lipson:
Scalable Co-Optimization of Morphology and Control in Embodied Machines. CoRR abs/1706.06133 (2017)
[i10]
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Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
A Minimal Developmental Model Can Increase Evolvability in Soft Robots. CoRR abs/1706.07296 (2017)
[i9]
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Sam Kriegman, Marcin Szubert, Josh C. Bongard, Christian Skalka:
Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling. CoRR abs/1706.07888 (2017)
[i8]
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Mark D. Wagy, Josh C. Bongard, James P. Bagrow, Paul D. H. Hines:
Crowdsourcing Predictors of Residential Electric Energy Usage. CoRR abs/1709.02739 (2017)
[i7]
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Francesco Corucci, Nick Cheney, Francesco Giorgio Serchi, Josh C. Bongard, Cecilia Laschi:
Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. CoRR abs/1711.06605 (2017)
[i6]
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Sam Kriegman, Nick Cheney, Josh C. Bongard:
How morphological development can guide evolution. CoRR abs/1711.07387 (2017)
[i5]
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Zahra Mahoor, Jack Felag, Josh C. Bongard:
Morphology dictates a robot's ability to ground crowd-proposed language. CoRR abs/1712.05881 (2017)
2016
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Tim Taylor, Joshua Evan Auerbach, Josh C. Bongard, Jeff Clune, Simon J. Hickinbotham, Charles Ofria, Mizuki Oka, Sebastian Risi, Kenneth O. Stanley, Jason Yosinski:
WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web. Artif. Life 22(3): 364-407 (2016)
[j19]
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Collin Cappelle, Anton Bernatskiy, Kenneth R. Livingston, Nicholas Livingston, Josh C. Bongard:
Morphological Modularity Can Enable the Evolution of Robot Behavior to Scale Linearly with the Number of Environmental Features. Frontiers Robotics AI 3: 59 (2016)
[j18]
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Nicholas Livingston, Anton Bernatskiy, Kenneth R. Livingston, Marc L. Smith, Jodi Schwarz, Josh C. Bongard, David Wallach, John H. Long Jr.:
Modularity and Sparsity: Evolution of Neural Net Controllers in Physically Embodied Robots. Frontiers Robotics AI 3: 75 (2016)
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Hod Lipson, Vytas SunSpiral, Josh C. Bongard, Nicholas Cheney:
On the Difficulty of Co-Optimizing Morphology and Control in Evolved Virtual Creatures. ALIFE 2016: 226-233
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Josh C. Bongard, Cecilia Laschi, Hod Lipson, Nick Cheney, Francesco Corucci:
Material properties affect evolutions ability to exploit morphological computation in growing soft-bodied creatures. ALIFE 2016: 234-241
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Josh C. Bongard, Mark Wagy:
Social Contribution in the Design of Adaptive Machines on the Web. ALIFE 2016: 674-681
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Josh C. Bongard, Joey Anetsberger:
Robots can ground crowd-proposed symbols by forming theories of group mind. ALIFE 2016: 684-691
[c65]
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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: 519-524
[c64]
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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
[c63]
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Ari Larson, Anton Bernatskiy, Collin Cappelle, Kenneth R. Livingston, Nicholas Livingston, John H. Long Jr., Jodi Schwarz, Marc L. Smith, Josh C. Bongard:
Recombination Hotspots Promote the Evolvability of Modular Systems. GECCO (Companion) 2016: 115-116
[c62]
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Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard:
Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. GECCO 2016: 797-804
[c61]
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Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard:
Semantic Forward Propagation for Symbolic Regression. PPSN 2016: 364-374
[c60]
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Nathaniel Powell, Josh C. Bongard:
Exploring Uncertainty and Movement in Categorical Perception Using Robots. PPSN 2016: 623-632
[c59]
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Sam Kriegman, Marcin Szubert, Josh C. Bongard, Christian Skalka:
Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling. PPSN 2016: 707-716
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Stefano Nolfi, Josh C. Bongard, Phil Husbands, Dario Floreano:
Evolutionary Robotics. Springer Handbook of Robotics, 2nd Ed. 2016: 2035-2068
[i4]
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Thomas C. McAndrew, Josh C. 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. CoRR abs/1604.05781 (2016)
2015
[j17]
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Zhenyu Lu, Xindong Wu, Josh C. Bongard:
Active Learning through Adaptive Heterogeneous Ensembling. IEEE Trans. Knowl. Data Eng. 27(2): 368-381 (2015)
[c58]
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Josh C. Bongard, Anton Bernatskiy, Kenneth R. Livingston, Nicholas Livingston, John H. Long Jr., Marc L. Smith:
Evolving Robot Morphology Facilitates the Evolution of Neural Modularity and Evolvability. GECCO 2015: 129-136
[c57]
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Karol Zieba, Josh C. Bongard:
An Embodied Approach for Evolving Robust Visual Classifiers. GECCO 2015: 201-208
[c56]
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Nick Cheney, Josh C. Bongard, Hod Lipson:
Evolving Soft Robots in Tight Spaces. GECCO 2015: 935-942
[c55]
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Anton Bernatskiy, Josh C. Bongard:
Exploiting the Relationship Between Structural Modularity and Sparsity for Faster Network Evolution. GECCO (Companion) 2015: 1173-1176
[c54]
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Afsoon Yousefi Zowj, Josh C. Bongard, Christian Skalka:
A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor Systems. GECCO 2015: 1295-1302
[c53]
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Mark D. Wagy, Josh C. Bongard:
Crowdseeding Robot Design. GECCO (Companion) 2015: 1513-1514
[c52]
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Mark D. Wagy, Josh C. Bongard:
Crowdseeding: A Novel Approach for Designing Bioinspired Machines. Living Machines 2015: 293-303
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Angelo Cangelosi, Josh C. Bongard, Martin H. Fischer, Stefano Nolfi:
Embodied Intelligence. Handbook of Computational Intelligence 2015: 697-714
[i3]
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Nicholas A. Allgaier, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Josh C. Bongard, Uli Bromberg, Christian Büchel, Anna Cattrell, Patricia J. Conrod, Christopher M. Danforth, Sylvane Desrivières, Peter Sheridan Dodds, Herta Flor, Vincent Frouin, Jürgen Gallinat, Penny A. Gowland, Andreas Heinz, Bernd Ittermann, Scott Mackey, Jean-Luc Martinot, Kevin Murphy, Frauke Nees, Dimitri Papadopoulos-Orfanos, Luise Poustka, Michael N. Smolka, Henrik Walter, Robert A. Whelan, Gunter Schümann, Hugh Garavan:
Nonlinear functional mapping of the human brain. CoRR abs/1510.03765 (2015)
2014
[j16]
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Josh C. Bongard, Hod Lipson:
Evolved Machines Shed Light on Robustness and Resilience. Proc. IEEE 102(5): 899-914 (2014)
[j15]
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Joshua Evan Auerbach, Josh C. Bongard:
Environmental Influence on the Evolution of Morphological Complexity in Machines. PLoS Comput. Biol. 10(1) (2014)
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Mark Wagy, Joshua Clifford Bongard:
Collective Design of Robot Locomotion. ALIFE 2014: 138-145
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Anton Bernatskiy, Gregory Hornby, Josh C. Bongard:
Improving Robot Behavior Optimization by Combining User Preferences. ALIFE 2014: 973-980
2013
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Josh C. Bongard:
Evolutionary robotics. Commun. ACM 56(8): 74-83 (2013)
[j13]
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Josh C. Bongard, Paul D. H. Hines, Dylan Conger, Peter Hurd, Zhenyu Lu:
Crowdsourcing Predictors of Behavioral Outcomes. IEEE Trans. Syst. Man Cybern. Syst. 43(1): 176-185 (2013)
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Ilknur Icke, Joshua Clifford Bongard:
Improving genetic programming based symbolic regression using deterministic machine learning. IEEE Congress on Evolutionary Computation 2013: 1763-1770
[c48]
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Ilknur Icke, Joshua Clifford Bongard:
Modeling hierarchy using symbolic regression. IEEE Congress on Evolutionary Computation 2013: 2980-2987
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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: 3403-3410
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Ilknur Icke, Joshua Clifford Bongard:
Automatic identification of hierarchy in multivariate data. GECCO (Companion) 2013: 143-144
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Josh C. Bongard, Gregory S. Hornby:
Combining fitness-based search and user modeling in evolutionary robotics. GECCO 2013: 159-166
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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: 155-173
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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 abs/1312.6122 (2013)
2012
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Joshua Evan Auerbach, Josh C. Bongard:
On the Relationship Between Environmental and Mechanical Complexity in Evolved Robots. ALIFE 2012
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Gregory S. Hornby, Josh C. Bongard:
Learning Comparative User Models for Accelerating Human-Computer Collaborative Search. EvoMUSART 2012: 117-128
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Gregory S. Hornby, Josh C. Bongard:
Accelerating human-computer collaborative search through learning comparative and predictive user models. GECCO 2012: 225-232
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Joshua Evan Auerbach, Josh C. Bongard:
On the relationship between environmental and morphological complexity in evolved robots. GECCO 2012: 521-528
[c39]
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Paul Beliveau, Gregory Hornby, Josh C. Bongard:
Interactive simulated robot construction and controller evolution. GECCO (Companion) 2012: 627-628
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Shane Eric Celis, Josh C. Bongard:
Not all physics simulators can be wrong in the same way. GECCO (Companion) 2012: 659-660
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Josh C. Bongard, Paul Beliveau, Gregory Hornby:
Avoiding local optima with interactive evolutionary robotics. GECCO (Companion) 2012: 1405-1406
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Josh C. Bongard, Paul D. H. Hines, Dylan Conger, Peter Hurd, Zhenyu Lu:
Crowdsourcing Predictors of Behavioral Outcomes. CoRR abs/1203.1833 (2012)
2011
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Josh C. Bongard:
Morphological change in machines accelerates the evolution of robust behavior. Proc. Natl. Acad. Sci. USA 108(4): 1234-1239 (2011)
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Josh C. Bongard:
Innocent Until Proven Guilty: Reducing Robot Shaping From Polynomial to Linear Time. IEEE Trans. Evol. Comput. 15(4): 571-585 (2011)
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Josh C. Bongard:
Morphological and environmental scaffolding synergize when evolving robot controllers: artificial life/robotics/evolvable hardware. GECCO 2011: 179-186
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Josh C. Bongard:
Spontaneous evolution of structural modularity in robot neural network controllers: artificial life/robotics/evolvable hardware. GECCO 2011: 251-258
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Joshua Evan Auerbach, Josh C. Bongard:
Evolving complete robots with CPPN-NEAT: the utility of recurrent connections. GECCO 2011: 1475-1482
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Josh C. Bongard:
How Evolution Shapes the Way Roboticists Think. FET 2011: 8-10
2010
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Josh C. Bongard:
The Utility of Evolving Simulated Robot Morphology Increases with Task Complexity for Object Manipulation. Artif. Life 16(3): 201-223 (2010)
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Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. Meltzoff:
Self discovery enables robot social cognition: Are you my teacher? Neural Networks 23(8-9): 1113-1124 (2010)
[c32]
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Joshua Evan Auerbach, Josh C. Bongard:
Dynamic Resolution in the Co-Evolution of Morphology and Control. ALIFE 2010: 451-458
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Josh C. Bongard, Gregory S. Hornby:
Guarding against premature convergence while accelerating evolutionary search. GECCO 2010: 111-118
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Joshua Evan Auerbach, Josh C. Bongard:
Evolving CPPNs to grow three-dimensional physical structures. GECCO 2010: 627-634
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Josh C. Bongard:
Morphological scaffolding: how evolution and development improve robot behavior generation. GECCO 2010: 643-644
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Josh C. Bongard:
A probabilistic functional crossover operator for genetic programming. GECCO 2010: 925-932
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Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh C. Bongard:
Ensemble pruning via individual contribution ordering. KDD 2010: 871-880
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Zhenyu Lu, Xindong Wu, Josh C. Bongard:
Adaptive Informative Sampling for Active Learning. SDM 2010: 894-905

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Josh C. Bongard:
Biologically Inspired Computing. Computer 42(4): 95-98 (2009)
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Josh C. Bongard:
Accelerating Self-Modeling in Cooperative Robot Teams. IEEE Trans. Evol. Comput. 13(2): 321-332 (2009)
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Joshua Evan Auerbach, Josh C. Bongard:
How robot morphology and training order affect the learning of multiple behaviors. IEEE Congress on Evolutionary Computation 2009: 39-46
[c24]
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Joshua Evan Auerbach, Josh C. Bongard:
Evolution of functional specialization in a morphologically homogeneous robot. GECCO 2009: 89-96
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Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. Meltzoff:
Combined structure and motion extraction from visual data using evolutionary active learning. GECCO 2009: 121-128
[c22]
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Josh C. Bongard:
The impact of jointly evolving robot morphology and control on adaptation rate. GECCO 2009: 1769-1770
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Zhenyu Lu, Josh C. Bongard:
Exploiting multiple classifier types with active learning. GECCO 2009: 1905-1906
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Zhenyu Lu, Xindong Wu, Josh C. Bongard:
Active Learning with Adaptive Heterogeneous Ensembles. ICDM 2009: 327-336
2008
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Josh C. Bongard:
Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard, and Dieter Fox. (2005, MIT Press.) 647 pages. Artif. Life 14(2): 227-229 (2008)
[c19]
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Josh C. Bongard:
Behavior Chaining - Incremental Behavior Integration for Evolutionary Robotics. ALIFE 2008: 64-71
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Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Josh C. Bongard:
Informative sampling for large unbalanced data sets. GECCO (Companion) 2008: 2047-2054
2007
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Rolf Pfeifer, Josh C. Bongard:
How the body shapes the way we think - a new view on intelligence. MIT Press 2007, ISBN 978-0-262-16239-5, pp. I-XXIV, 1-394
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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): 88-92 (2007)
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Josh C. Bongard, Hod Lipson:
Automated reverse engineering of nonlinear dynamical systems. Proc. Natl. Acad. Sci. USA 104(24): 9943-9948 (2007)
[c17]
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Josh C. Bongard:
Synthesizing Physically-Realistic Environmental Models from Robot Exploration. ECAL 2007: 806-815
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Josh C. Bongard:
Action-selection and crossover strategies for self-modeling machines. GECCO 2007: 198-205
[c15]
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Josh C. Bongard:
Exploiting multiple robots to accelerate self-modeling. GECCO 2007: 214-221
[e2]
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Max Lungarella, Fumiya Iida, Josh C. Bongard, Rolf Pfeifer:
50 Years of Artificial Intelligence, Essays Dedicated to the 50th Anniversary of Artificial Intelligence. Lecture Notes in Computer Science 4850, Springer 2007, ISBN 978-3-540-77295-8 [contents]
2006
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Max Lungarella, Fumiya Iida, Josh C. Bongard, Rolf Pfeifer:
AI in the 21^st Century - With Historical Reflections. 50 Years of Artificial Intelligence 2006: 1-8
[c13]
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Hod Lipson, Josh C. Bongard, Viktor Zykov, Evan Malone:
Evolutionary Robotics for Legged Machines: From Simulation to Physical Reality. IAS 2006: 11-18
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Gregory S. Hornby, Joshua Clifford Bongard:
Developmental Systems, Papers from the 2006 AAAI Fall Symposium, Washington, DC, USA, October 13-15, 2006. AAAI Technical Report FS-06-03, AAAI Press 2006 [contents]
2005
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Rolf Pfeifer, Fumiya Iida, Josh C. Bongard:
New Robotics: Design Principles for Intelligent Systems. Artif. Life 11(1-2): 99-120 (2005)
[j2]
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Josh C. Bongard, Hod Lipson:
Active Coevolutionary Learning of Deterministic Finite Automata. J. Mach. Learn. Res. 6: 1651-1678 (2005)
[j1]
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Josh C. Bongard, Hod Lipson:
Nonlinear System Identification Using Coevolution of Models and Tests. IEEE Trans. Evol. Comput. 9(4): 361-384 (2005)
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Viktor Zykov, Josh C. Bongard, Hod Lipson:
Co-evolutionary Variance Can Guide Physical Testing in Evolutionary System Identification. Evolvable Hardware 2005: 213-220
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Josh C. Bongard, Hod Lipson:
'Managed challenge' alleviates disengagement in co-evolutionary system identification. GECCO 2005: 531-538
[c10]
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Paul White, Viktor Zykov, Josh C. Bongard, Hod Lipson:
Three Dimensional Stochastic Reconfiguration of Modular Robots. Robotics: Science and Systems 2005: 161-168
2004
[c9]
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Josh C. Bongard, Hod Lipson:
Automated Robot Function Recovery after Unanticipated Failure or Environmental Change using a Minimum of Hardware Trials. Evolvable Hardware 2004: 169-176
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Josh C. Bongard, Hod Lipson:
Automating Genetic Network Inference with Minimal Physical Experimentation Using Coevolution. GECCO (1) 2004: 333-345
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Josh C. Bongard, Hod Lipson:
Automated Damage Diagnosis and Recovery for Remote Robotics. ICRA 2004: 3545-3550
2002
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Josh C. Bongard:
Evolving modular genetic regulatory networks. IEEE Congress on Evolutionary Computation 2002: 1872-1877
[c5]
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Josh C. Bongard, Rolf Pfeifer:
Behavioural Selection Pressure Generates Hierarchical Genetic Regulatory Networks. GECCO 2002: 132
2001
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Josh C. Bongard, Chandana Paul:
Making Evolution an Offer It Can't Refuse: Morphology and the Extradimensional Bypass. ECAL 2001: 401-412
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Chandana Paul, Josh C. Bongard:
The road less travelled: morphology in the optimization of biped robot locomotion. IROS 2001: 226-232
2000
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Josh C. Bongard:
The Legion System: A Novel Approach to Evolving Hetrogeneity for Collective Problem Solving. EuroGP 2000: 16-28

1990 – 1999

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What is the meaning of the colors in the publication lists?

1999
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Josh C. Bongard:
Coevolutionary Dynamics of a Multi-population Genetic Programming System. ECAL 1999: 154-158

Coauthor Index

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