Coevolutionary Dynamics of a Multi-population Genetic Programming System. - Josh C. Bongard (ECAL, 1999)

The Legion System: A Novel Approach to Evolving Hetrogeneity for Collective Problem Solving. - Josh C. Bongard (EuroGP, 2000)

Making Evolution an Offer It Can't Refuse: Morphology and the Extradimensional Bypass. - Josh C. Bongard; Chandana Paul (ECAL, 2001)

The road less travelled: morphology in the optimization of biped robot locomotion. - Chandana Paul; Josh C. Bongard (IROS, 2001)

Evolving modular genetic regulatory networks. - Josh C. Bongard (IEEE Congress on Evolutionary Computation, 2002)

Behavioural Selection Pressure Generates Hierarchical Genetic Regulatory Networks. - Josh C. Bongard; Rolf Pfeifer (GECCO, 2002)

Automated Robot Function Recovery after Unanticipated Failure or Environmental Change using a Minimum of Hardware Trials. - Josh C. Bongard; Hod Lipson (Evolvable Hardware, 2004)

Automating Genetic Network Inference with Minimal Physical Experimentation Using Coevolution. - Josh C. Bongard; Hod Lipson (GECCO (1), 2004)

Automated Damage Diagnosis and Recovery for Remote Robotics. - Josh C. Bongard; Hod Lipson (ICRA, 2004)

Co-evolutionary Variance Can Guide Physical Testing in Evolutionary System Identification. - Viktor Zykov; Josh C. Bongard; Hod Lipson (Evolvable Hardware, 2005)

'Managed challenge' alleviates disengagement in co-evolutionary system identification. - Josh C. Bongard; Hod Lipson (GECCO, 2005)

Three Dimensional Stochastic Reconfiguration of Modular Robots. - Paul White; Viktor Zykov; Josh C. Bongard; Hod Lipson (Robotics: Science and Systems, 2005)

New Robotics: Design Principles for Intelligent Systems. - Rolf Pfeifer; Fumiya Iida; Josh C. Bongard (Artif. Life, 2005)

Active Coevolutionary Learning of Deterministic Finite Automata. - Josh C. Bongard; Hod Lipson (J. Mach. Learn. Res., 2005)

Nonlinear System Identification Using Coevolution of Models and Tests. - Josh C. Bongard; Hod Lipson (IEEE Trans. Evol. Comput., 2005)

AI in the 21st Century - With Historical Reflections. - Max Lungarella; Fumiya Iida; Josh C. Bongard; Rolf Pfeifer (50 Years of Artificial Intelligence, 2006)

Evolutionary Robotics for Legged Machines: From Simulation to Physical Reality. - Hod Lipson; Josh C. Bongard; Viktor Zykov; Evan Malone (IAS, 2006)

How the body shapes the way we think - a new view on intelligence. - Rolf Pfeifer; Josh C. Bongard (MIT Press, 2007)

Synthesizing Physically-Realistic Environmental Models from Robot Exploration. - Josh C. Bongard (ECAL, 2007)

Action-selection and crossover strategies for self-modeling machines. - Josh C. Bongard (GECCO, 2007)

Exploiting multiple robots to accelerate self-modeling. - Josh C. Bongard (GECCO, 2007)

Reports on the 2006 AAAI Fall Symposia. - 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; et al. (AI Mag., 2007)

Automated reverse engineering of nonlinear dynamical systems. - Josh C. Bongard; Hod Lipson (Proc. Natl. Acad. Sci. USA, 2007)

Behavior Chaining - Incremental Behavior Integration for Evolutionary Robotics. - Josh C. Bongard (ALIFE, 2008)

Informative sampling for large unbalanced data sets. - Zhenyu Lu; Anand I. Rughani; Bruce I. Tranmer; Josh C. Bongard (GECCO (Companion), 2008)

Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard, and Dieter Fox. (2005, MIT Press.) 647 pages. - Josh C. Bongard (Artif. Life, 2008)

How robot morphology and training order affect the learning of multiple behaviors. - Joshua Evan Auerbach; Josh C. Bongard (IEEE Congress on Evolutionary Computation, 2009)

Evolution of functional specialization in a morphologically homogeneous robot. - Joshua Evan Auerbach; Josh C. Bongard (GECCO, 2009)

The impact of jointly evolving robot morphology and control on adaptation rate. - Josh C. Bongard (GECCO, 2009)

Combined structure and motion extraction from visual data using evolutionary active learning. - Krishnanand N. Kaipa; Josh C. Bongard; Andrew N. Meltzoff (GECCO, 2009)

Exploiting multiple classifier types with active learning. - Zhenyu Lu; Josh C. Bongard (GECCO, 2009)

Active Learning with Adaptive Heterogeneous Ensembles. - Zhenyu Lu; Xindong Wu 001; Josh C. Bongard (ICDM, 2009)

Biologically Inspired Computing. - Josh C. Bongard (Computer, 2009)

Accelerating Self-Modeling in Cooperative Robot Teams. - Josh C. Bongard (IEEE Trans. Evol. Comput., 2009)

Dynamic Resolution in the Co-Evolution of Morphology and Control. - Joshua Evan Auerbach; Josh C. Bongard (ALIFE, 2010)

Evolving CPPNs to grow three-dimensional physical structures. - Joshua Evan Auerbach; Josh C. Bongard (GECCO, 2010)

Morphological scaffolding: how evolution and development improve robot behavior generation. - Josh C. Bongard (GECCO, 2010)

A probabilistic functional crossover operator for genetic programming. - Josh C. Bongard (GECCO, 2010)

Guarding against premature convergence while accelerating evolutionary search. - Josh C. Bongard; Gregory S. Hornby (GECCO, 2010)

Ensemble pruning via individual contribution ordering. - Zhenyu Lu; Xindong Wu 001; Xingquan Zhu 001; Josh C. Bongard (KDD, 2010)

Adaptive Informative Sampling for Active Learning. - Zhenyu Lu; Xindong Wu 001; Josh C. Bongard (SDM, 2010)

The Utility of Evolving Simulated Robot Morphology Increases with Task Complexity for Object Manipulation. - Josh C. Bongard (Artif. Life, 2010)

Self discovery enables robot social cognition: Are you my teacher? - Krishnanand N. Kaipa; Josh C. Bongard; Andrew N. Meltzoff (Neural Networks, 2010)

Evolving complete robots with CPPN-NEAT: the utility of recurrent connections. - Joshua Evan Auerbach; Josh C. Bongard (GECCO, 2011)

Morphological and environmental scaffolding synergize when evolving robot controllers: artificial life/robotics/evolvable hardware. - Josh C. Bongard (GECCO, 2011)

Spontaneous evolution of structural modularity in robot neural network controllers: artificial life/robotics/evolvable hardware. - Josh C. Bongard (GECCO, 2011)

Morphological change in machines accelerates the evolution of robust behavior. - Josh C. Bongard (Proc. Natl. Acad. Sci. USA, 2011)

How Evolution Shapes the Way Roboticists Think. - Josh C. Bongard (FET, 2011)

Innocent Until Proven Guilty: Reducing Robot Shaping From Polynomial to Linear Time. - Josh C. Bongard (IEEE Trans. Evol. Comput., 2011)

On the Relationship Between Environmental and Mechanical Complexity in Evolved Robots. - Joshua Evan Auerbach; Josh C. Bongard (ALIFE, 2012)

Learning Comparative User Models for Accelerating Human-Computer Collaborative Search. - Gregory S. Hornby; Josh C. Bongard (EvoMUSART, 2012)

On the relationship between environmental and morphological complexity in evolved robots. - Joshua Evan Auerbach; Josh C. Bongard (GECCO, 2012)

Interactive simulated robot construction and controller evolution. - Paul Beliveau; Gregory Hornby; Josh C. Bongard (GECCO (Companion), 2012)

Avoiding local optima with interactive evolutionary robotics. - Josh C. Bongard; Paul Beliveau; Gregory Hornby (GECCO (Companion), 2012)

Not all physics simulators can be wrong in the same way. - Shane Eric Celis; Josh C. Bongard (GECCO (Companion), 2012)

Accelerating human-computer collaborative search through learning comparative and predictive user models. - Gregory S. Hornby; Josh C. Bongard (GECCO, 2012)

Avoiding local optima with user demonstrations and low-level control. - Shane Eric Celis; Gregory S. Hornby; Joshua Clifford Bongard (IEEE Congress on Evolutionary Computation, 2013)

Improving genetic programming based symbolic regression using deterministic machine learning. - Ilknur Icke; Joshua Clifford Bongard (IEEE Congress on Evolutionary Computation, 2013)

Modeling hierarchy using symbolic regression. - Ilknur Icke; Joshua Clifford Bongard (IEEE Congress on Evolutionary Computation, 2013)

Combining fitness-based search and user modeling in evolutionary robotics. - Josh C. Bongard; Gregory S. Hornby (GECCO, 2013)

Automatic identification of hierarchy in multivariate data. - Ilknur Icke; Joshua Clifford Bongard (GECCO (Companion), 2013)

A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data. - Ilknur Icke; Nicholas A. Allgaier; Christopher M. Danforth; Robert A. Whelan; Hugh P. Garavan; Joshua Clifford Bongard (GPTP, 2013)

Evolutionary robotics. - Josh C. Bongard (Commun. ACM, 2013)

Shadow networks: Discovering hidden nodes with models of information flow. - 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 006; Brian F. Tivnan; Christopher M. Danforth; et al. (CoRR, 2013)

Crowdsourcing Predictors of Behavioral Outcomes. - Josh C. Bongard; Paul D. H. Hines; Dylan Conger; Peter Hurd; Zhenyu Lu (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Improving Robot Behavior Optimization by Combining User Preferences. - Anton Bernatskiy; Gregory Hornby; Josh C. Bongard (ALIFE, 2014)

Collective Design of Robot Locomotion. - Mark Wagy; Joshua Clifford Bongard (ALIFE, 2014)

Evolved Machines Shed Light on Robustness and Resilience. - Josh C. Bongard; Hod Lipson (Proc. IEEE, 2014)

Environmental Influence on the Evolution of Morphological Complexity in Machines. - Joshua Evan Auerbach; Josh C. Bongard (PLoS Comput. Biol., 2014)

Exploiting the Relationship Between Structural Modularity and Sparsity for Faster Network Evolution. - Anton Bernatskiy; Josh C. Bongard (GECCO (Companion), 2015)

Evolving Robot Morphology Facilitates the Evolution of Neural Modularity and Evolvability. - Josh C. Bongard; Anton Bernatskiy; Kenneth R. Livingston; Nicholas Livingston; John H. Long Jr.; Marc L. Smith (GECCO, 2015)

Evolving Soft Robots in Tight Spaces. - Nick Cheney; Josh C. Bongard; Hod Lipson (GECCO, 2015)

Crowdseeding Robot Design. - Mark D. Wagy; Josh C. Bongard (GECCO (Companion), 2015)

An Embodied Approach for Evolving Robust Visual Classifiers. - Karol Zieba; Josh C. Bongard (GECCO, 2015)

A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor Systems. - Afsoon Yousefi Zowj; Josh C. Bongard; Christian Skalka (GECCO, 2015)

Crowdseeding: A Novel Approach for Designing Bioinspired Machines. - Mark D. Wagy; Josh C. Bongard (Living Machines, 2015)

Nonlinear functional mapping of the human brain. - 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; et al. (CoRR, 2015)

Active Learning through Adaptive Heterogeneous Ensembling. - Zhenyu Lu; Xindong Wu 001; Josh C. Bongard (IEEE Trans. Knowl. Data Eng., 2015)

Embodied Intelligence. - Angelo Cangelosi; Josh C. Bongard; Martin H. Fischer; Stefano Nolfi (Handbook of Computational Intelligence, 2015)

Robots can ground crowd-proposed symbols by forming theories of group mind. - Josh C. Bongard; Joey Anetsberger (ALIFE, 2016)

Material properties affect evolutions ability to exploit morphological computation in growing soft-bodied creatures. - Josh C. Bongard; Cecilia Laschi; Hod Lipson; Nick Cheney; Francesco Corucci (ALIFE, 2016)

Social Contribution in the Design of Adaptive Machines on the Web. - Josh C. Bongard; Mark Wagy (ALIFE, 2016)

On the Difficulty of Co-Optimizing Morphology and Control in Evolved Virtual Creatures. - Hod Lipson; Vytas SunSpiral; Josh C. Bongard; Nicholas Cheney (ALIFE, 2016)

What we write about when we write about causality: Features of causal statements across large-scale social discourse. - Thomas C. McAndrew; Joshua Clifford Bongard; Christopher M. Danforth; Peter Sheridan Dodds; Paul D. H. Hines; James P. Bagrow (ASONAM, 2016)

Embodiment Effects in Evolutionary Robotics. - Nicholas Livingston; Anton Bernatskiy; Kenneth R. Livingston; Marc L. Smith; Jodi Schwarz; Joshua Clifford Bongard; David Wallach; Evan Altiero; John H. Long Jr. (CogSci, 2016)

Recombination Hotspots Promote the Evolvability of Modular Systems. - Ari Larson; Anton Bernatskiy; Collin Cappelle; Kenneth R. Livingston; Nicholas Livingston; John H. Long Jr.; Jodi Schwarz; Marc L. Smith; Josh C. Bongard (GECCO (Companion), 2016)

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. - Marcin Szubert; Anuradha Kodali; Sangram Ganguly; Kamalika Das; Josh C. Bongard (GECCO, 2016)

Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling. - Sam Kriegman; Marcin Szubert; Josh C. Bongard; Christian Skalka (PPSN, 2016)

Exploring Uncertainty and Movement in Categorical Perception Using Robots. - Nathaniel Powell; Josh C. Bongard (PPSN, 2016)

Semantic Forward Propagation for Symbolic Regression. - Marcin Szubert; Anuradha Kodali; Sangram Ganguly; Kamalika Das; Josh C. Bongard (PPSN, 2016)

WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web. - Tim Taylor 001; Joshua Evan Auerbach; Josh C. Bongard; Jeff Clune; Simon J. Hickinbotham; Charles Ofria; Mizuki Oka; Sebastian Risi; Kenneth O. Stanley; Jason Yosinski (Artif. Life, 2016)

Morphological Modularity Can Enable the Evolution of Robot Behavior to Scale Linearly with the Number of Environmental Features. - Collin Cappelle; Anton Bernatskiy; Kenneth R. Livingston; Nicholas Livingston; Josh C. Bongard (Frontiers Robotics AI, 2016)

Modularity and Sparsity: Evolution of Neural Net Controllers in Physically Embodied Robots. - Nicholas Livingston; Anton Bernatskiy; Kenneth R. Livingston; Marc L. Smith; Jodi Schwarz; Josh C. Bongard; David Wallach; John H. Long Jr. (Frontiers Robotics AI, 2016)

Evolutionary Robotics. - Stefano Nolfi; Josh C. Bongard; Phil Husbands; Dario Floreano (Springer Handbook of Robotics, 2nd Ed., 2016)

Choice of robot morphology can prohibit modular control and disrupt evolution. - Anton Bernatskiy; Josh C. Bongard (ECAL, 2017)

Ecological modularity as a means to reduce necessary training environments in evolutionary robotics. - Collin Cappelle; Anton Bernatskiy; Josh C. Bongard (GECCO (Companion), 2017)

A minimal developmental model can increase evolvability in soft robots. - Sam Kriegman; Nick Cheney; Francesco Corucci; Josh C. Bongard (GECCO, 2017)

Simulating the evolution of soft and rigid-body robots. - Sam Kriegman; Collin Cappelle; Francesco Corucci; Anton Bernatskiy; Nick Cheney; Josh C. Bongard (GECCO (Companion), 2017)

Reducing Training Environments in Evolutionary Robotics Through Ecological Modularity. - Collin Cappelle; Anton Bernatskiy; Josh C. Bongard (Living Machines, 2017)

Physical Scaffolding Accelerates the Evolution of Robot Behavior. - David Buckingham; Josh C. Bongard (Artif. Life, 2017)

Scalable Co-Optimization of Morphology and Control in Embodied Machines. - Nick Cheney; Josh C. Bongard; Vytas SunSpiral; Hod Lipson (CoRR, 2017)

Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. - Francesco Corucci; Nick Cheney; Francesco Giorgio-Serchi; Josh C. Bongard; Cecilia Laschi (CoRR, 2017)

How morphological development can guide evolution. - Sam Kriegman; Nick Cheney; Josh C. Bongard (CoRR, 2017)

Morphology dictates a robot's ability to ground crowd-proposed language. - Zahra Mahoor; Jack Felag; Josh C. Bongard (CoRR, 2017)

Epigenetic Operators and the Evolution of Physically Embodied Robots. - Jake Brawer; Aaron Hill; Kenneth R. Livingston; Eric Aaron; Joshua Clifford Bongard; John H. Long Jr. (Frontiers Robotics AI, 2017)

Evolutionary Developmental Soft Robotics As a Framework to Study Intelligence and Adaptive Behavior in Animals and Plants. - Francesco Corucci; Nick Cheney; Sam Kriegman; Josh C. Bongard; Cecilia Laschi (Frontiers Robotics AI, 2017)

Gene Duplication, Modularity, and the Evolution of Intelligence in Simulated and Real Robots. - Nicholas Livingston; Ben K. Tidswell; Meghan Willcoxon; Theresa Law; Gabriel Dell'Accio; Mackenzie Little; John H. Long Jr.; Josh C. Bongard; Kenneth R. Livingston (CogSci, 2018)

Combating catastrophic forgetting with developmental compression. - Shawn L. E. Beaulieu; Sam Kriegman; Josh C. Bongard (GECCO, 2018)

Interoceptive robustness through environment-mediated morphological development. - Sam Kriegman; Nick Cheney; Francesco Corucci; Josh C. Bongard (GECCO, 2018)

Embodiment can combat catastrophic forgetting. - Joshua P. Powers; Sam Kriegman; Josh C. Bongard (GECCO (Companion), 2018)

Embodied Embeddings for Hyperneat. - Collin Cappelle; Josh C. Bongard (ALIFE, 2018)

The effects of morphology and fitness on catastrophic interference. - Joshua P. Powers; Sam Kriegman; Josh C. Bongard (ALIFE, 2018)

Intrinsic Mortality Governs Evolvability. - Frank Veenstra; Pablo González de Prado Salas; Josh C. Bongard; Kasper Støy; Sebastian Risi (ALIFE, 2018)

Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. - Anuradha Kodali; Marcin Szubert; Kamalika Das; Sangram Ganguly; Joshua Clifford Bongard (PPSN (1), 2018)

Evolving morphology automatically reformulates the problem of designing modular control. - Anton Bernatskiy; Josh C. Bongard (Adapt. Behav., 2018)

Neural language representations predict outcomes of scientific research. - James P. Bagrow; Daniel Berenberg; Joshua Clifford Bongard (CoRR, 2018)

Crowdsourcing Predictors of Residential Electric Energy Usage. - Mark D. Wagy; Josh C. Bongard; James P. Bagrow; Paul D. H. Hines (IEEE Syst. J., 2018)

Word2vec to behavior: morphology facilitates the grounding of language in machines. - David Matthews; Sam Kriegman; Collin Cappelle; Josh C. Bongard (IROS, 2019)

Automated Shapeshifting for Function Recovery in Damaged Robots. - Sam Kriegman; Stephanie Walker; Dylan S. Shah; Rebecca Kramer-Bottiglio; Josh C. Bongard (Robotics: Science and Systems, 2019)

Automated shapeshifting for function recovery in damaged robots. - Sam Kriegman; Stephanie Walker; Dylan S. Shah; Michael Levin 001; Rebecca Kramer-Bottiglio; Josh C. Bongard (CoRR, 2019)

Embodiment dictates learnability in neural controllers. - Joshua P. Powers; Ryan Grindle; Sam Kriegman; Lapo Frati; Nick Cheney; Josh C. Bongard (CoRR, 2019)

Machine behaviour. - 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; et al. (Nat., 2019)

Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design. - Kent Rosser; Jia Kok; Javaan S. Chahl; Josh C. Bongard (ICRA, 2020)

Crowd grounding: finding semantic and behavioral alignment through human robot interaction. - David Matthews; Josh C. Bongard (ALIFE, 2020)

Morphology dictates learnability in neural controllers. - Joshua P. Powers; Ryan Grindle; Sam Kriegman; Lapo Frati; Nick Cheney; Josh C. Bongard (ALIFE, 2020)

A Framework for Search and Application Agnostic Interactive Optimization. - Joshua P. Powers; Sarah Pell; Josh C. Bongard (ALIFE, 2020)

Scalable sim-to-real transfer of soft robot designs. - Sam Kriegman; Amir Mohammadi Nasab; Dylan S. Shah; Hannah Steele; Gabrielle Branin; Michael Levin 001; Josh C. Bongard; Rebecca Kramer-Bottiglio (RoboSoft, 2020)

Death and Progress: How Evolvability is Influenced by Intrinsic Mortality. - Frank Veenstra; Pablo González de Prado Salas; Kasper Støy; Josh C. Bongard; Sebastian Risi (Artif. Life, 2020)

Gaining environments through shape change. - Dylan S. Shah; Joshua P. Powers; Liana G. Tilton; Sam Kriegman; Josh C. Bongard; Rebecca Kramer-Bottiglio (CoRR, 2020)

A scalable pipeline for designing reconfigurable organisms. - Sam Kriegman; Douglas Blackiston; Michael Levin 001; Josh C. Bongard (Proc. Natl. Acad. Sci. USA, 2020)

Shape Matching: Evolving Fiber Constraints on a Pneumatic Bilayer. - Bilige Yang; Joshua P. Powers; Atoosa Parsa; Josh C. Bongard; Rebecca Kramer-Bottiglio (RoboSoft, 2021)

Scale invariant robot behavior with fractals. - Sam Kriegman; Amir Mohammadi Nasab; Douglas Blackiston; Hannah Steele; Michael Levin 001; Rebecca Kramer-Bottiglio; Josh C. Bongard (Robotics: Science and Systems, 2021)

A good body is all you need: avoiding catastrophic interference via agent architecture search. - Joshua P. Powers; Ryan Grindle; Lapo Frati; Josh C. Bongard (CoRR, 2021)

A soft robot that adapts to environments through shape change. - Dylan S. Shah; Joshua P. Powers; Liana G. Tilton; Sam Kriegman; Josh C. Bongard; Rebecca Kramer-Bottiglio (Nat. Mach. Intell., 2021)

A cellular platform for the development of synthetic living machines. - Douglas Blackiston; Emma Lederer; Sam Kriegman; Simon Garnier; Joshua Clifford Bongard; Michael Levin 001 (Sci. Robotics, 2021)

Evolution of Acoustic Logic Gates in Granular Metamaterials. - Atoosa Parsa; Dong Wang 052; Corey S. O'Hern; Mark D. Shattuck; Rebecca Kramer-Bottiglio; Josh C. Bongard (EvoApplications, 2022)

Selecting continuous life-like cellular automata for halting unpredictability: evolving for abiogenesis. - Q. Tyrell Davis; Josh C. Bongard (GECCO Companion, 2022)

Empowered neural cellular automata. - Caitlin Grasso; Josh C. Bongard (GECCO Companion, 2022)

Evolving programmable computational metamaterials. - Atoosa Parsa; Dong Wang 052; Corey S. O'Hern; Mark D. Shattuck; Rebecca Kramer-Bottiglio; Josh C. Bongard (GECCO, 2022)

Step Size is a Consequential Parameter in Continuous Cellular Automata. - Q. Tyrell Davis; Josh C. Bongard (CoRR, 2022)

Biological Robots: Perspectives on an Emerging Interdisciplinary Field. - Douglas Blackiston; Sam Kriegman; Josh C. Bongard; Michael Levin 001 (CoRR, 2022)

There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines. - Joshua Clifford Bongard; Michael Levin 001 (CoRR, 2022)

Biological underpinnings for lifelong learning machines. - 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; et al. (Nat. Mach. Intell., 2022)

Editorial: Introduction to the 2020 Conference on Artificial Life Special Issue. - Josh C. Bongard; Juniper L. Lovato; Laurent Hébert-Dufresne; Radhakrishna Dasari; Lisa B. Soros (Artif. Life, 2022)

Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata. - Caitlin Grasso; Josh C. Bongard (GECCO, 2023)

Universal Mechanical Polycomputation in Granular Matter. - Atoosa Parsa; Sven Witthaus; Nidhi Pashine; Corey S. O'Hern; Rebecca Kramer-Bottiglio; Josh C. Bongard (GECCO, 2023)

Morphology Choice Affects the Evolution of Affordance Detection in Robots. - Federico Pigozzi; Stephanie J. Woodman; Eric Medvet; Rebecca Kramer-Bottiglio; Josh C. Bongard (GECCO, 2023)

The Metric is the Message: Benchmarking Challenges for Neural Symbolic Regression. - Amanda Bertschinger; Q. Tyrell Davis; James P. Bagrow; Josh C. Bongard (ECML/PKDD (4), 2023)

Subtract to Adapt: Autotomic Robots. - Q. Tyrell Davis; Stephanie J. Woodman; Melanie Landesberg; Rebecca Kramer-Bottiglio; Josh C. Bongard (RoboSoft, 2023)

Evolving variable stiffness fiber patterns for multi-shape robotic sheets. - Atoosa Parsa; Medha Goyal; Maggy Lambo; Bilige Yang; Josh C. Bongard; Rebecca Kramer-Bottiglio (RoboSoft, 2023)

Efficient automatic design of robots. - David Matthews; Andrew Spielberg; Daniela Rus; Sam Kriegman; Josh C. Bongard (CoRR, 2023)

From rigid to soft to biological robots. - Josh C. Bongard (Artif. Life Robotics, 2023)

Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks. - Amanda Bertschinger; James P. Bagrow; Joshua Clifford Bongard (GECCO, 2024)

Evolving Hierarchical Neural Cellular Automata. - Kameron Bielawski; Nate Gaylinn; Cameron Lunn; Kevin Motia; Joshua Clifford Bongard (GECCO, 2024)

A Meta-Evolutionary Algorithm for Co-evolving Genotypes and Genotype / Phenotype Maps. - Nathan Gaylinn; Joshua Clifford Bongard (GECCO Companion, 2024)

Merging Variable Stiffness Fiber Patterns on Multi-Shape Robotic Sheets. - Medha Goyal; Maggy Lambo; Josh C. Bongard; Rebecca Kramer-Bottiglio (RoboSoft, 2024)

Evolving higher-order synergies reveals a trade-off between stability and information integration capacity in complex systems. - Thomas F. Varley; Joshua Clifford Bongard (CoRR, 2024)

Gradient-based Design of Computational Granular Crystals. - Atoosa Parsa; Corey S. O'Hern; Rebecca Kramer-Bottiglio; Josh C. Bongard (CoRR, 2024)

Data-driven Modeling of Granular Chains with Modern Koopman Theory. - Atoosa Parsa; James P. Bagrow; Corey S. O'Hern; Rebecca Kramer-Bottiglio; Josh C. Bongard (CoRR, 2024)

Author Correction: A soft robot that adapts to environments through shape change. - Dylan S. Shah; Joshua P. Powers; Liana G. Tilton; Sam Kriegman; Josh C. Bongard; Rebecca Kramer-Bottiglio (Nat. Mac. Intell., 2024)

Greater AI Design Control Aids Evolution of Computational Materials. - Piper Welch; Monica Li; Shawn Beaulieu; Annie Xia; Dong Wang 052; Medha Goyal; Atoosa Parsa; Corey S. O'Hern; Rebecca Kramer-Bottiglio; Josh C. Bongard (EvoApplications (2), 2025)

Scalable Evolution of Logically Independent Polycomputational Materials. - Piper Welch; Atoosa Parsa; Shawn Beaulieu; Corey S. O'Hern; Rebecca Kramer-Bottiglio; Josh C. Bongard (EvoApplications (2), 2025)

Revealing non-trivial information structures in aneural biological tissues via functional connectivity. - Douglas Blackiston; Hannah Dromiack; Caitlin Grasso; Thomas F. Varley; Douglas G. Moore; Krishna Kannan Srinivasan; Olaf Sporns; Josh C. Bongard; Michael Levin 001; Sara Imari Walker (PLoS Comput. Biol., 2025)

The topology of synergy: linking topological and information-theoretic approaches to higher-order interactions in complex systems. - Thomas F. Varley; Pedro A. M. Mediano; Alice Patania; Josh C. Bongard (CoRR, 2025)

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control. - Nam H. Le; Patrick Erikson; Yanbo Zhang; Michael Levin 001; Josh C. Bongard (CoRR, 2025)

LaSER: How Learning Can Guide the Evolution of Equations. - Nam H. Le; Josh C. Bongard (CoRR, 2025)

Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony. - James P. Bagrow; Josh C. Bongard (CoRR, 2025)