Evolution
Links to this note
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ALife 2020
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Article: Open-endedness: The last grand challenge you’ve never heard of
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Article: What Is an Individual? Biology Seeks Clues in Information Theory.
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Article: Why Sex? Biologists Find New Explanations
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Artificial Intelligence
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Attractor networks
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Automated discovery in complex systems
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Avida
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Boltzmann brain
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Cellular automata
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Cellular automata as regular languages
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Co-evolution
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Complex Systems
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Complexity
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Computing in cellular automata
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Genetic algorithms
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Neural architecture search
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Neural network training
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Neural networks as dynamical systems
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Notes on: A model of urban evolution based on innovation diffusion by Raimbault, J. (2020)
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Notes on: A new structurally dissolvable self-reproducing loop evolving in a simple cellular automata space by Sayama, H. (1999)
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Notes on: AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence by Clune, J. (2019)
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Notes on: Complexity and evolution: What everybody knows by McShea, D. W. (1991)
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Notes on: Diversity preservation in minimal criterion coevolution through resource limitation by Brant, J. C., & Stanley, K. O. (2020)
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Notes on: Drinking from a Firehose: Continual Learning with Web-scale Natural Language by Hu, H., Sener, O., Sha, F., & Koltun, V. (2020)
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Notes on: Evolution in asynchronous cellular automata by Nehaniv, C. L. (2003)
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Notes on: Evolved Open-Endedness, Not Open-Ended Evolution by Pattee, H. H., & Sayama, H. (2019)
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Notes on: Evolving Neural Networks through Augmenting Topologies by Stanley, K. O., & Miikkulainen, R. (2002)
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Notes on: Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems by Adams, A., Zenil, H., Davies, P. C. W., & Walker, S. I. (2017)
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Notes on: Intelligence without representation by Brooks, R. A. (1991)
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Notes on: More Is Different by Anderson, P. W. (1972)
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Notes on: Neural Circuit Policies Enabling Auditable Autonomy by Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu, R. (2020)
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Notes on: Neuroevolution: from architectures to learning by Floreano, D., Dürr, P., & Mattiussi, C. (2008)
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Notes on: POET: open-ended coevolution of environments and their optimized solutions by Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019)
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Notes on: Seeking open-ended evolution in Swarm Chemistry by Sayama, H. (2011)
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Notes on: The Architecture of Complexity by Simon, H. A. (1962)
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Notes on: The information theory of individuality by Krakauer, D., Bertschinger, N., Olbrich, E., Flack, J. C., & Ay, N. (2020)
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Ontogeny recapitulates phylogeny
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Open-ended Evolution
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Picbreeder
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Quality diversity
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Reinforcement learning
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SIR model
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Talk: Alife 2020 keynote Lee Cronin - A Top Down Chemically Embodied Artificial Life Computation
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Talk: Alife 2020 keynote Luis Zaman - New Frontiers in Alife: What was old is new again
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Talk: Alife 2020 keynote Michael Levin - Robot Cancer
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Talk: Alife 2020 keynote Sara Walker - The Natural History of Information
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Talk: The Importance of Open-Endedness in AI and Machine Learning
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The Simulated reality hypothesis
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Tierra
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Unker non-linear writing system
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Why programming is a good medium for expressing poorly understood and sloppily-formulated ideas
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