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ALIFE 2020: The 2020 Conference on Artificial Life

July 13–18, 2020

Online

Conference Sponsors:

ALIFE 2020: The 2020 Conference on Artificial Life

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Contributed talks
Errata
Lightning Talks
Poster Presentations
Short Abstracts of Keynote Presentations
Special session: Artificial Life and Society
Special session: Hybrid Life

ALIFE 2020: The 2020 Conference on Artificial Life

2020 Preface

Josh Bongard, Juniper Lovato, Laurent Hebert-Dufrésne, Radhakrishna Dasari, Lisa Soros

isal 2020; 1https://doi.org/10.1162/isal_e_00358

View Articletitled, 2020 Preface

The 2020 Conference on Artificial Life (full proceedings pdf)

Josh Bongard, Juniper Lovato, Laurent Hebert-Dufrésne, Radhakrishna Dasari, Lisa Soros

isal 2020; 2https://doi.org/10.1162/isal_a_00357

View Articletitled, The 2020 Conference on Artificial Life (full proceedings pdf)

Contributed talks

Monte Carlo Physarum Machine: An Agent-based Model for Reconstructing Complex 3D Transport Networks

Oskar Elek, Joseph N. Burchett, J. Xavier Prochaska, Angus G. Forbes

isal 2020; 263-265https://doi.org/10.1162/isal_a_00348

View Articletitled, Monte Carlo Physarum Machine: An Agent-based Model for Reconstructing Complex 3D Transport Networks

A Hybrid Approach to Understanding the Continuous Social Dynamics Based on a Large-Scale Modeling and a Face-to-Face Experiment

Zineb Elhamer, Reiji Suzuki, Takaya Arita

isal 2020; 266-268https://doi.org/10.1162/isal_a_00322

View Articletitled, A Hybrid Approach to Understanding the Continuous Social Dynamics Based on a Large-Scale Modeling and a Face-to-Face Experiment

A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions

Mathias S. Weyland, Dandolo Flumini, Johannes J. Schneider, Rudolf M. Füchslin

isal 2020; 602-604https://doi.org/10.1162/isal_a_00303

View Articletitled, A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions

Modelling the Social Buffering Hypothesis in an Artificial Life Environment

Imran Khan, Matthew Lewis, Lola Cañamero

isal 2020; 393-401https://doi.org/10.1162/isal_a_00302

View Articletitled, Modelling the Social Buffering Hypothesis in an Artificial Life Environment

Automated replication optimization for protocellular information system

Ditlev Hartmann Bornebusch, Christina Colaluca Sørensen, Peter Zingg, Gianluca Gazzola, Norman Packard, Steen Rasmussen

isal 2020; 219-220https://doi.org/10.1162/isal_a_00301

View Articletitled, Automated replication optimization for protocellular information system

Morphological communication for swarms

Asheesh Sharma, Sabine Hauert, Helmut Hauser

isal 2020; 549-557https://doi.org/10.1162/isal_a_00300

View Articletitled, Morphological communication for swarms

A model of urban evolution based on innovation diffusion

Juste Raimbault

isal 2020; 500-508https://doi.org/10.1162/isal_a_00283

View Articletitled, A model of urban evolution based on innovation diffusion

De novo laboratory synthesis of life mimics without biochemistry

Juan Pérez-Mercader

isal 2020; 483-490https://doi.org/10.1162/isal_a_00282

View Articletitled, De novo laboratory synthesis of life mimics without biochemistry

The effect of mutation on equilibrium properties of deterministic and random evolutionary games

Manh Hong Duong, The Anh Han

isal 2020; 248-250https://doi.org/10.1162/isal_a_00281

View Articletitled, The effect of mutation on equilibrium properties of deterministic and random evolutionary games

Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting

Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien

isal 2020; 518-525https://doi.org/10.1162/isal_a_00273

View Articletitled, Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting

Composition of Games as a Model for the Evolution of Social Institutions

Peter Andras

isal 2020; 171-179https://doi.org/10.1162/isal_a_00264

View Articletitled, Composition of Games as a Model for the Evolution of Social Institutions

The Importance of Open-Endedness (for the Sake of Open-Endedness)

Tim Taylor

isal 2020; 578-580https://doi.org/10.1162/isal_a_00257

View Articletitled, The Importance of Open-Endedness (for the Sake of Open-Endedness)

Generating symmetry and symmetry breaking in sand-bubbler patterns

Hendrik Richter

isal 2020; 509-517https://doi.org/10.1162/isal_a_00246

View Articletitled, Generating symmetry and symmetry breaking in sand-bubbler patterns

An Integrated Perspective on the Constitutive and Interactive Dimensions of Autonomy

Randall D. Beer

isal 2020; 202-209https://doi.org/10.1162/isal_a_00245

View Articletitled, An Integrated Perspective on the Constitutive and Interactive Dimensions of Autonomy

The Bayesian Superorganism: Collective Probability Estimation in Swarm Systems

Edmund R. Hunt, Nigel R. Franks, Roland J. Baddeley

isal 2020; 315-323https://doi.org/10.1162/isal_a_00247

View Articletitled, The Bayesian Superorganism: Collective Probability Estimation in Swarm Systems

Localization, bistability and optimal seeding of contagions on higher-order networks

Guillaume St-Onge, Antoine Allard, Laurent Hébert-Dufresne

isal 2020; 567-569https://doi.org/10.1162/isal_a_00327

View Articletitled, Localization, bistability and optimal seeding of contagions on higher-order networks

Genetic Source Sensitivity and Transfer Learning in Genetic Programming

Thomas Helmuth, Edward Pantridge, Grace Woolson, Lee Spector

isal 2020; 303-311https://doi.org/10.1162/isal_a_00326

View Articletitled, Genetic Source Sensitivity and Transfer Learning in Genetic Programming

Rank epistasis: A new model for analyzing epistatic interactions in the absence of quantifiable fitness interactions

Acacia L. Ackles, Austin J. Ferguson, Connor Grady, Charles Ofria

isal 2020; 160-162https://doi.org/10.1162/isal_a_00325

View Articletitled, Rank epistasis: A new model for analyzing epistatic interactions in the absence of quantifiable fitness interactions

Reservoir Computing with Random Chemical Systems

Hoang Nguyen, Peter Banda, Darko Stefanovic, Christof Teuscher

isal 2020; 491-499https://doi.org/10.1162/isal_a_00324

View Articletitled, Reservoir Computing with Random Chemical Systems

Morphologically programming the interactions of V-shaped falling papers

Toby Howison, Josie Hughes, Fumiya Iida

isal 2020; 359-366https://doi.org/10.1162/isal_a_00306

View Articletitled, Morphologically programming the interactions of V-shaped falling papers

How Different Encodings Affect Performance and Diversification when Evolving the Morphology and Control of 2D Virtual Creatures

Frank Veenstra, Kyrre Glette

isal 2020; 592-601https://doi.org/10.1162/isal_a_00295

View Articletitled, How Different Encodings Affect Performance and Diversification when Evolving the Morphology and Control of 2D Virtual Creatures

Temperature-based inputs for molecular reservoir computers

Nicolas Lobato-Dauzier, Leo Cazenille, Teruo Fujii, Anthony Genot, Nathanael Aubert-Kato

isal 2020; 420-422https://doi.org/10.1162/isal_a_00293

View Articletitled, Temperature-based inputs for molecular reservoir computers

Putting oneself in everybody's shoes - Pleasing enables indirect reciprocity under private assessments

Marcus Krellner, The Anh Han

isal 2020; 402-410https://doi.org/10.1162/isal_a_00292

View Articletitled, Putting oneself in everybody's shoes - Pleasing enables indirect reciprocity under private assessments

Dynamic natural kinds: Open-ended evolution in the joints of nature

Mark A. Bedau

isal 2020; 199-201https://doi.org/10.1162/isal_a_00278

View Articletitled, Dynamic natural kinds: Open-ended evolution in the joints of nature

Modelling Artificial Immune – Tumor Ecosystem Interaction During Radiation Therapy Using a Perceptron – Based Antigen Pattern Recognition

Stephan Scheidegger, Alexander Mikos, Harold Fellermann

isal 2020; 541-548https://doi.org/10.1162/isal_a_00271

View Articletitled, Modelling Artificial Immune – Tumor Ecosystem Interaction During Radiation Therapy Using a Perceptron – Based Antigen Pattern Recognition

Classification of Complex Systems Based on Transients

Barbora Hudcová, Tomáš Mikolov

isal 2020; 367-375https://doi.org/10.1162/isal_a_00260

View Articletitled, Classification of Complex Systems Based on Transients

Communication in Decision Making: Competition favors Inequality

Jacopo Talamini, Eric Medvet, Alberto Bartoli, Andrea De Lorenzo

isal 2020; 570-577https://doi.org/10.1162/isal_a_00248

View Articletitled, Communication in Decision Making: Competition favors Inequality

What Matters? Agent Concerns, Agent-designer Concerns

Inman Harvey

isal 2020; 300-302https://doi.org/10.1162/isal_a_00241

View Articletitled, What Matters? Agent Concerns, Agent-designer Concerns

Selection and Accelerated Divergence in Hashtag Evolution on a Social Network Service

Hiroki Sato, Itsuki Doi, Yasuhiro Hashimoto, Mizuki Oka, Takashi Ikegami

isal 2020; 535-540https://doi.org/10.1162/isal_a_00335

View Articletitled, Selection and Accelerated Divergence in Hashtag Evolution on a Social Network Service

Explaining and Exploiting the Advantages of Down-sampled Lexicase Selection

Thomas Helmuth, Lee Spector

isal 2020; 341-349https://doi.org/10.1162/isal_a_00334

View Articletitled, Explaining and Exploiting the Advantages of Down-sampled Lexicase Selection

Cognition Evolves with the Emergence of Environmental Patchiness

Mahi Luthra, Eduardo J. Izquierdo, Peter M. Todd

isal 2020; 450-458https://doi.org/10.1162/isal_a_00330

View Articletitled, Cognition Evolves with the Emergence of Environmental Patchiness

Learning to Cooperate in a Socially Optimal Way in Swarm Robotics

Paul Ecoffet, Jean-Baptiste André, Nicolas Bredeche

isal 2020; 251-259https://doi.org/10.1162/isal_a_00315

View Articletitled, Learning to Cooperate in a Socially Optimal Way in Swarm Robotics

Adapting to Unseen Environments through Explicit Representation of Context

Cem Tutum, Risto Miikkulainen

isal 2020; 581-588https://doi.org/10.1162/isal_a_00313

View Articletitled, Adapting to Unseen Environments through Explicit Representation of Context

Thermodynamics and kinetics of Lesion Induced DNA Amplification (LIDA)

Jan Engelhardt, Bent Andresen, Steen Rasmussen

isal 2020; 269-272https://doi.org/10.1162/isal_a_00312

View Articletitled, Thermodynamics and kinetics of Lesion Induced DNA Amplification (LIDA)

Measuring Autonomy for Life-Like AI

Demyan Vakhrameev, Miguel Aguilera, Xabier E. Barandiaran, Manuel Bedia

isal 2020; 589-591https://doi.org/10.1162/isal_a_00308

View Articletitled, Measuring Autonomy for Life-Like AI

On Pros and Cons of Evolving Topologies with Novelty Search

Léni K. Le Goff, Emma Hart, Alexandre Coninx, Stéphane Doncieux

isal 2020; 423-431https://doi.org/10.1162/isal_a_00291

View Articletitled, On Pros and Cons of Evolving Topologies with Novelty Search

Competition Dynamics in a Chemical System of Self-replicating Macrocycles

Omer Markovitch, Boris H. Kramer, Franz J. Weissing, G. Sander van Doorn, Sijbren Otto

isal 2020; 462-464https://doi.org/10.1162/isal_a_00289

View Articletitled, Competition Dynamics in a Chemical System of Self-replicating Macrocycles

Sexual Selection Compared to Novelty Search

Arend Hintze, Jory Schossau

isal 2020; 350-358https://doi.org/10.1162/isal_a_00275

View Articletitled, Sexual Selection Compared to Novelty Search

Foraging Swarms using Multi-Agent Reinforcement Learning

Carsten Hahn, Fabian Ritz, Paula Wikidal, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien

isal 2020; 333-340https://doi.org/10.1162/isal_a_00267

View Articletitled, Foraging Swarms using Multi-Agent Reinforcement Learning

Evolution of Diverse Swarm Behaviors with Minimal Surprise

Tanja Katharina Kaiser, Heiko Hamann

isal 2020; 384-392https://doi.org/10.1162/isal_a_00266

View Articletitled, Evolution of Diverse Swarm Behaviors with Minimal Surprise

Web as an Evolutionary Ecosystem: Emergence of Keystone Species

Palin Choviwatana, Shota Ejima, Mizuki Oka, Takashi Ikegami

isal 2020; 230-238https://doi.org/10.1162/isal_a_00263

View Articletitled, Web as an Evolutionary Ecosystem: Emergence of Keystone Species

Data-Driven Modeling of Resource Distribution in Honeybee Swarms

Golnar Gharooni Fard, Elizabeth Bradley, Orit Peleg

isal 2020; 324-332https://doi.org/10.1162/isal_a_00262

View Articletitled, Data-Driven Modeling of Resource Distribution in Honeybee Swarms

Evolving developmental neural networks to solve multiple problems

Julian Francis Miller

isal 2020; 473-482https://doi.org/10.1162/isal_a_00252

View Articletitled, Evolving developmental neural networks to solve multiple problems

Cellular Automata Simulation of RNA Self-Replicators

Ian Holmes

isal 2020; 312-314https://doi.org/10.1162/isal_a_00242

View Articletitled, Cellular Automata Simulation of RNA Self-Replicators

Modeling the Impact of Social Comparison on Student Engagement by the Equity Theory

Wen-Chi Yang, Yuh-Huey Lee, Kuo-Shih Yang

isal 2020; 605-613https://doi.org/10.1162/isal_a_00343

View Articletitled, Modeling the Impact of Social Comparison on Student Engagement by the Equity Theory

On two information-theoretic measures of random fuzzy networks

Octavio Zapata, Hyobin Kim, Carlos Gershenson

isal 2020; 623-625https://doi.org/10.1162/isal_a_00342

View Articletitled, On two information-theoretic measures of random fuzzy networks

Phase Spaces of the Strategy Evolution in the El Farol Bar Problem

Shane St. Luce, Hiroki Sayama

isal 2020; 558-566https://doi.org/10.1162/isal_a_00339

View Articletitled, Phase Spaces of the Strategy Evolution in the El Farol Bar Problem

Reinforcement learning beyond the Bellman equation: Exploring critic objectives using evolution

Abe Leite, Madhavun Candadai, Eduardo J. Izquierdo

isal 2020; 441-449https://doi.org/10.1162/isal_a_00338

View Articletitled, Reinforcement learning beyond the Bellman equation: Exploring critic objectives using evolution

A Study of Severe Disruption in an Artificial Economy

Gustavo Recio, Wolfgang Banzhaf, Roger White

isal 2020; 180-187https://doi.org/10.1162/isal_a_00336

View Articletitled, A Study of Severe Disruption in an Artificial Economy

Neural reuse in multifunctional neural networks for control tasks

Lauren V. Benson, Madhavun Candadai, Eduardo J. Izquierdo

isal 2020; 210-218https://doi.org/10.1162/isal_a_00319

View Articletitled, Neural reuse in multifunctional neural networks for control tasks

Safe Reinforcement Learning through Meta-learned Instincts

Djordje Grbic, Sebastian Risi

isal 2020; 283-291https://doi.org/10.1162/isal_a_00318

View Articletitled, Safe Reinforcement Learning through Meta-learned Instincts

Fast and stable MAP-Elites in noisy domains using deep grids

Manon Flageat, Antoine Cully

isal 2020; 273-282https://doi.org/10.1162/isal_a_00316

View Articletitled, Fast and stable MAP-Elites in noisy domains using deep grids

Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation

Léni K. Le Goff, Edgar Buchanan, Emma Hart, Agoston E. Eiben, Wei Li, Matteo de Carlo, Matthew F. Hale, Mike Angus, Robert Woolley, Jon Timmis, Alan Winfield, Andrew M. Tyrrell

isal 2020; 432-440https://doi.org/10.1162/isal_a_00299

View Articletitled, Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation

Lenia and Expanded Universe

Bert Wang-Chak Chan

isal 2020; 221-229https://doi.org/10.1162/isal_a_00297

View Articletitled, Lenia and Expanded Universe

Evolving Acoustic Niche Differentiation and Soundscape Complexity Based on Intraspecific Sound Communication

Atsushi Masumori, Itsuki Doi, John Smith, Ryuta Aoki, Takashi Ikegami

isal 2020; 465-472https://doi.org/10.1162/isal_a_00296

View Articletitled, Evolving Acoustic Niche Differentiation and Soundscape Complexity Based on Intraspecific Sound Communication

Lyfe in the Universe: A Definition Based on Four Pillars

Stuart Bartlett, Michael L Wong

isal 2020; 188-189https://doi.org/10.1162/isal_a_00287

View Articletitled, Lyfe in the Universe: A Definition Based on Four Pillars

Marangoni Based Motile Oil-Droplets in Simulated Artificial Chemistry

Matthew Egbert

isal 2020; 260-262https://doi.org/10.1162/isal_a_00286

View Articletitled, Marangoni Based Motile Oil-Droplets in Simulated Artificial Chemistry

Robotic Canvas: Interactive Painting onto Robot Swarms

Merihan Alhafnawi, Sabine Hauert, Paul O’Dowd

isal 2020; 163-170https://doi.org/10.1162/isal_a_00285

View Articletitled, Robotic Canvas: Interactive Painting onto Robot Swarms

Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems

Matt Grove, James M. Borg, Fiona Polack

isal 2020; 292-299https://doi.org/10.1162/isal_a_00284

View Articletitled, Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems

Visualizing computation in large-scale cellular automata

Hugo Cisneros, Josef Sivic, Tomas Mikolov

isal 2020; 239-247https://doi.org/10.1162/isal_a_00277

View Articletitled, Visualizing computation in large-scale cellular automata

Mechanisms of Social Learning in Evolved Artificial Life

Alberto Bartoli, Marco Catto, Andrea De Lorenzo, Eric Medvet, Jacopo Talamini

isal 2020; 190-198https://doi.org/10.1162/isal_a_00276

View Articletitled, Mechanisms of Social Learning in Evolved Artificial Life

Reservoir Computing in Artificial Spin Ice

Johannes H. Jensen, Gunnar Tufte

isal 2020; 376-383https://doi.org/10.1162/isal_a_00268

View Articletitled, Reservoir Computing in Artificial Spin Ice

The Role of Co-Representations in Joint Tracking

Ekaterina Sangati, Simon M. Hofmann

isal 2020; 526-534https://doi.org/10.1162/isal_a_00259

View Articletitled, The Role of Co-Representations in Joint Tracking

Combinatory Chemistry: Towards a Simple Model of Emergent Evolution

Germán Kruszewski, Tomas Mikolov

isal 2020; 411-419https://doi.org/10.1162/isal_a_00258

View Articletitled, Combinatory Chemistry: Towards a Simple Model of Emergent Evolution

Reactive or Stable: A Plant-inspired Approach for Organisation Morphogenesis

Payam Zahadat, Ada Diaconescu

isal 2020; 614-622https://doi.org/10.1162/isal_a_00244

View Articletitled, Reactive or Stable: A Plant-inspired Approach for Organisation Morphogenesis

Errata

Errata: Phase Spaces of the Strategy Evolution in the El Farol Bar Problem

Shane St. Luce, Hiroki Sayama

isal 2020; 783https://doi.org/10.1162/isal_x_00359

View Articletitled, Errata: Phase Spaces of the Strategy Evolution in the El Farol Bar Problem

Lightning Talks

A Minimal River Crossing Task to Aid the Explainability of Evolutionary Agents

Abida Ghouri, Chloe M. Barnes, Peter R. Lewis

isal 2020; 36-43https://doi.org/10.1162/isal_a_00347

View Articletitled, A Minimal River Crossing Task to Aid the Explainability of Evolutionary Agents

Contributions from parallel strategies for spatial orientation in C. elegans

Brian A. Dahlberg, Eduardo J. Izquierdo

isal 2020; 16-24https://doi.org/10.1162/isal_a_00346

View Articletitled, Contributions from parallel strategies for spatial orientation in <em>C. elegans</em>

An introduction to using counterdiabatic driving to eliminate genetic lag in changing environments

Emily Dolson, Shamreen Iram, Joshua Chiel, Julia Pelesko, Nikhil Krishnan, Özenç Güngör, Benjamin Kuznets-Speck, Sebastian Deffner, Efe Ilker, Jacob G. Scott, Michael Hinczewski

isal 2020; 25-26https://doi.org/10.1162/isal_a_00344

View Articletitled, An introduction to using counterdiabatic driving to eliminate genetic lag in changing environments

Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity

Adrien Ecoffet, Jeff Clune, Joel Lehman

isal 2020; 27-35https://doi.org/10.1162/isal_a_00323

View Articletitled, Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity

Morphology dictates learnability in neural controllers

Joshua Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh Bongard

isal 2020; 52-59https://doi.org/10.1162/isal_a_00243

View Articletitled, Morphology dictates learnability in neural controllers

SPIDER: a Bioinspired Swarm Algorithm for Adaptive Risk-Taking

Edmund R. Hunt, George Jenkinson, Michael Wilsher, Carl P. Dettmann, Sabine Hauert

isal 2020; 44-51https://doi.org/10.1162/isal_a_00279

View Articletitled, SPIDER: a Bioinspired Swarm Algorithm for Adaptive Risk-Taking

Emergence of the tradeoff law of social relationships in artificial societies driven by dual memory mechanisms

Masanori Takano, Kenichi Nakazato

isal 2020; 87-94https://doi.org/10.1162/isal_a_00255

View Articletitled, Emergence of the tradeoff law of social relationships in artificial societies driven by dual memory mechanisms

Life-Span Expectancy and Cycle Size in the Original Autopoiesis Algorithm

Siddharth Priya, Chrystopher L. Nehaniv

isal 2020; 69-77https://doi.org/10.1162/isal_a_00329

View Articletitled, Life-Span Expectancy and Cycle Size in the Original Autopoiesis Algorithm

A Framework for Search and Application Agnostic Interactive Optimization

Joshua Powers, Sarah Pell, Josh Bongard

isal 2020; 60-68https://doi.org/10.1162/isal_a_00310

View Articletitled, A Framework for Search and Application Agnostic Interactive Optimization

Best-effort computing with SPOTs and Spatial Threads

David H. Ackley

isal 2020; 13-15https://doi.org/10.1162/isal_a_00337

View Articletitled, Best-effort computing with SPOTs and Spatial Threads

Agents of Habit: Refining the Artificial Life Route to Artificial Intelligence

Susana Ramírez-Vizcaya, Tom Froese

isal 2020; 78-86https://doi.org/10.1162/isal_a_00298

View Articletitled, Agents of Habit: Refining the Artificial Life Route to Artificial Intelligence

Poster Presentations

Architectural Plasticity in Spiking Neural Networks

Katarzyna Kozdon, Peter J Bentley

isal 2020; 702-711https://doi.org/10.1162/isal_a_00345

View Articletitled, Architectural Plasticity in Spiking Neural Networks

Understanding biological plume tracking behavior using deep reinforcement-learning

Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton

isal 2020; 750-752https://doi.org/10.1162/isal_a_00321

View Articletitled, Understanding biological plume tracking behavior using deep reinforcement-learning

Adapting to a changing environment: Simulating the effects of noise on animal sonification

David Kadish, Sebastian Risi

isal 2020; 687-695https://doi.org/10.1162/isal_a_00320

View Articletitled, Adapting to a changing environment: Simulating the effects of noise on animal sonification

Simulations on Herding a Flock of Birds Away from an Aircraft using an Unmanned Aerial Vehicle

Pourya Aliasghari, Kerstin Dautenhahn, Chrystopher L. Nehaniv

isal 2020; 626-635https://doi.org/10.1162/isal_a_00280

View Articletitled, Simulations on Herding a Flock of Birds Away from an Aircraft using an Unmanned Aerial Vehicle

How Lévy Flights Triggered by Presence of Defectors Affect Evolution of Cooperation in Spatial Games

Daiki Miyagawa, Genki Ichinose, Erika Chiba, Hiroki Sayama

isal 2020; 715-718https://doi.org/10.1162/isal_a_00272

View Articletitled, How Lévy Flights Triggered by Presence of Defectors Affect Evolution of Cooperation in Spatial Games

Innovation, Variation, and Emergence in an Automata Chemistry

Susan Stepney, Simon Hickinbotham

isal 2020; 753-760https://doi.org/10.1162/isal_a_00265

View Articletitled, Innovation, Variation, and Emergence in an Automata Chemistry

Modeling the Influence of Social Feedback on Altruism using Multi-Agent Systems

Ilja Rausch, Johannes Nauta, Pieter Simoens, Yara Khaluf

isal 2020; 727-735https://doi.org/10.1162/isal_a_00256

View Articletitled, Modeling the Influence of Social Feedback on Altruism using Multi-Agent Systems

MorphWorld: A State Transition Simulator

Matthew Shan, Jared M. Moore, Anthony J. Clark

isal 2020; 747-749https://doi.org/10.1162/isal_a_00253

View Articletitled, MorphWorld: A State Transition Simulator

Exploring the robustness of insect-inspired visual navigation for flying robots

Alex Dewar, Paul Graham, Thomas Nowotny, Andrew Philippides

isal 2020; 668-677https://doi.org/10.1162/isal_a_00307

View Articletitled, Exploring the robustness of insect-inspired visual navigation for flying robots

Resilient Life: An Exploration of Perturbed Autopoietic Patterns in Conway's Game of Life

Arta Cika, Elissa Cohen, Germán Kruszewski, Luther Seet, Patrick Steinmann, Wenqian Yin

isal 2020; 656-664https://doi.org/10.1162/isal_a_00305

View Articletitled, Resilient Life: An Exploration of Perturbed Autopoietic Patterns in Conway's Game of Life

Untangling chromosome mis-segregation from mutation in cancer initiation

Arturo Araujo, Peter J Bentley

isal 2020; 636-644https://doi.org/10.1162/isal_a_00304

View Articletitled, Untangling chromosome mis-segregation from mutation in cancer initiation

Designing Computational Substrates using Open-Ended Evolution

Matthew Dale, Susan Stepney, Martin Trefzer

isal 2020; 665-667https://doi.org/10.1162/isal_a_00294

View Articletitled, Designing Computational Substrates using Open-Ended Evolution

One-dimensional reaction-diffusion model for intra- and inter- biofilm oscillatory dynamics

Taishi Mikami, Munehiro Asally, Takeshi Kano, Akio Ishiguro

isal 2020; 712-714https://doi.org/10.1162/isal_a_00261

View Articletitled, One-dimensional reaction-diffusion model for intra- and inter- biofilm oscillatory dynamics

Emerging Representations for Counting in a Neural Network Agent Interacting with a Multimodal Environment

Silvester Sabathiel, James L. McClelland, Trygve Solstad

isal 2020; 736-743https://doi.org/10.1162/isal_a_00333

View Articletitled, Emerging Representations for Counting in a Neural Network Agent Interacting with a Multimodal Environment

Dynamical Systems Analysis of a Protocell

Yan Kolezhitskiy, Matthew Egbert, Claire Postlethwaite

isal 2020; 699-701https://doi.org/10.1162/isal_a_00332

View Articletitled, Dynamical Systems Analysis of a Protocell

Interaction Between Evolution and Learning in NK Fitness Landscapes

Graham Todd, Madhavun Candadai, Eduardo J. Izquierdo

isal 2020; 761-767https://doi.org/10.1162/isal_a_00331

View Articletitled, Interaction Between Evolution and Learning in NK Fitness Landscapes

Effects of Supervision, Population Size, and Self-Play on Multi-Agent Reinforcement Learning to Communicate

Marina Dubova, Arseny Moskvichev

isal 2020; 678-686https://doi.org/10.1162/isal_a_00328

View Articletitled, Effects of Supervision, Population Size, and Self-Play on Multi-Agent Reinforcement Learning to Communicate

Emergence of Multistrain Epidemics with an Underlying Genotype Network

Blake Williams, Guillaume St-Onge, Laurent Hébert-Dufresne

isal 2020; 780-782https://doi.org/10.1162/isal_a_00311

View Articletitled, Emergence of Multistrain Epidemics with an Underlying Genotype Network

Experimental study of the effect of system composition on artificial chemotaxis of droplets

Jakub Vaculik, Jitka Cejkova

isal 2020; 768-770https://doi.org/10.1162/isal_a_00309

View Articletitled, Experimental study of the effect of system composition on artificial chemotaxis of droplets

Neuroevolution in Dynamically Changing Environments

Jory Schossau, Arend Hintze

isal 2020; 744-746https://doi.org/10.1162/isal_a_00274

View Articletitled, Neuroevolution in Dynamically Changing Environments

A Precarious Sensorimotor Sequence Reiterator for Modelling Enactive Habits

Felix M. G. Woolford, Matthew D. Egbert

isal 2020; 771-779https://doi.org/10.1162/isal_a_00249

View Articletitled, A Precarious Sensorimotor Sequence Reiterator for Modelling Enactive Habits

Visual Hide and Seek

Boyuan Chen, Shuran Song, Hod Lipson, Carl Vondrick

isal 2020; 645-655https://doi.org/10.1162/isal_a_00269

View Articletitled, Visual Hide and Seek

When Specialists Transition to Generalists: Evolutionary Pressure in Lexicase Selection

Jared M. Moore, Adam Stanton

isal 2020; 719-726https://doi.org/10.1162/isal_a_00254

View Articletitled, When Specialists Transition to Generalists: Evolutionary Pressure in Lexicase Selection

Adaptive One-dimensional Crawling Robot Driven by Simple Decentralized Control Mechanism

Takeshi Kano, Rodrigo Senofieni, Akira Fukuhara, Akio Ishiguro

isal 2020; 696-698https://doi.org/10.1162/isal_a_00250

View Articletitled, Adaptive One-dimensional Crawling Robot Driven by Simple Decentralized Control Mechanism

Short Abstracts of Keynote Presentations

A Top Down Chemically Embodied Artificial Life Computation

Leroy (Lee) Cronin

isal 2020; 1https://doi.org/10.1162/isal_a_00351

View Articletitled, A Top Down Chemically Embodied Artificial Life Computation

Contributed talks

Azumi Mamiya, Genki Ichinose

isal 2020; 459-461https://doi.org/10.1162/isal_a_00251

View Articletitled, Contributed talks

New Frontiers in Alife: What was old is new again

Luis Zaman

isal 2020; 11https://doi.org/10.1162/isal_a_00356

View Articletitled, New Frontiers in Alife: What was old is new again

The Natural History of Information

Sara Imari Walker

isal 2020; 9https://doi.org/10.1162/isal_a_00355

View Articletitled, The Natural History of Information

Conceptual Abstraction and Analogy in Artificial Intelligence

Melanie Mitchell

isal 2020; 7https://doi.org/10.1162/isal_a_00354

View Articletitled, Conceptual Abstraction and Analogy in Artificial Intelligence

Robot Cancer: what the bioelectrics of embryogenesis and regeneration can teach us about unconventional computing, cognition, and the software of life

Michael Levin

isal 2020; 5https://doi.org/10.1162/isal_a_00353

View Articletitled, Robot Cancer: what the bioelectrics of embryogenesis and regeneration can teach us about unconventional computing, cognition, and the software of life

From Particles to Parts — Building Artificial Life from Multifunctional Composites

Rebecca Kramer-Bottiglio

isal 2020; 3https://doi.org/10.1162/isal_a_00352

View Articletitled, From Particles to Parts — Building Artificial Life from Multifunctional Composites

Special session: Artificial Life and Society

Extreme Ideas Emerging from Social Conformity and Homophily: An Adaptive Social Network Model

Hiroki Sayama

isal 2020; 113-120https://doi.org/10.1162/isal_a_00349

View Articletitled, Extreme Ideas Emerging from Social Conformity and Homophily: An Adaptive Social Network Model

Socio-Physical Modelling and Declining Mobility

Penny Faulkner Rainford, Susan Stepney, Yasmin Merali

isal 2020; 104-112https://doi.org/10.1162/isal_a_00270

View Articletitled, Socio-Physical Modelling and Declining Mobility

A mechanism to promote social behaviour in household load balancing

Nathan A. Brooks, Simon T. Powers, James M. Borg

isal 2020; 95-103https://doi.org/10.1162/isal_a_00290

View Articletitled, A mechanism to promote social behaviour in household load balancing

Special session: Hybrid Life

Dynamic Interactive Artificial Intelligence: Sketches for a Future AI Based on Human-Machine Interaction

Dobromir Dotov, Tom Froese

isal 2020; 139-145https://doi.org/10.1162/isal_a_00350

View Articletitled, Dynamic Interactive Artificial Intelligence: Sketches for a Future AI Based on Human-Machine Interaction

Anticipation as a Mechanism for Complex Behavior in Artificial Agents

Heinrich Mellmann, Benjamin Schlotter, Lea Musiolek, Verena V. Hafner

isal 2020; 157-159https://doi.org/10.1162/isal_a_00314

View Articletitled, Anticipation as a Mechanism for Complex Behavior in Artificial Agents

Predictions in the eye of the beholder: an active inference account of Watt governors

Manuel Baltieri, Christopher L. Buckley, Jelle Bruineberg

isal 2020; 121-129https://doi.org/10.1162/isal_a_00288

View Articletitled, Predictions in the eye of the beholder: an active inference account of Watt governors

Truth or Consequences: Homeostatic Self-Regulation in Artificial Neural Networks

Kingson Man, Antonio Damasio

isal 2020; 146-147https://doi.org/10.1162/isal_a_00341

View Articletitled, Truth or Consequences: Homeostatic Self-Regulation in Artificial Neural Networks

Sensory-Motor Gestalt: Sensation and Action as the Foundations of Identity, Agency, and Self

Jasmine A. Berry, Francisco J. Valero-Cuevas

isal 2020; 130-138https://doi.org/10.1162/isal_a_00340

View Articletitled, Sensory-Motor Gestalt: Sensation and Action as the Foundations of Identity, Agency, and Self

Crowd grounding: finding semantic and behavioral alignment through human robot interaction.

David Matthews, Josh Bongard

isal 2020; 148-156https://doi.org/10.1162/isal_a_00317

View Articletitled, Crowd grounding: finding semantic and behavioral alignment through human robot interaction.