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- 3-SAT
- Abelian sandpile
model
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and Reasoning Corpus
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Computation Time
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examples
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Article: Open-endedness: The last grand challenge you’ve never
heard of
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Article: The Cartoon Picture of Magnets That Has Transformed
Science
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The End of the RNA World Is Near, Biochemists Argue
- Article: Uncertain
times
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Article: What Is an Individual? Biology Seeks Clues in Information
Theory.
- Article: Why
Sex? Biologists Find New Explanations
- Artificial
Intelligence
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intelligence test
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networks
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discovery in complex systems
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encoding
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as CNNs
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as regular languages
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networks
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network
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experiment
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Langton
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thesis
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metrics
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cellular automata
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theory
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cellular automata
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learning
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Life
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automata
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representation
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limited aggregation
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networks
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liberalism
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measure complexity
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cellular automata
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method
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learning
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machines
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calculus
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programming
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Gradient descent for wide two-layer neural networks – I : Global
convergence
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convolutional networks
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networks
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probability
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field theory of neural networks (talk)
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description length
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authentication
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architecture search
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pruning
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training
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kernel
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- Notes
- Notes
on: A Computer Scientist's View of Life, the Universe, and
Everything by Schmidhuber, J. (1999)
- Notes on: A
model of urban evolution based on innovation diffusion by
Raimbault, J. (2020)
- Notes
on: A new structurally dissolvable self-reproducing loop evolving
in a simple cellular automata space by Sayama, H. (1999)
- Notes on:
Adapting to Unseen Environments through Explicit Representation of
Context by Tutum, C., & Miikkulainen, R. (2020)
- Notes
on: AI-GAs: AI-generating algorithms, an alternate paradigm for
producing general artificial intelligence by Clune, J.
(2019)
- Notes on: An
Integrated Perspective on the Constitutive and Interactive
Dimensions of Autonomy by Beer, R. D. (2020)
- Notes
on: Cellular automata as convolutional neural networks by Gilpin,
W. (2018)
- Notes on:
Climbing towards NLU: On Meaning, Form, and Understanding in the
Age of Data by Bender, E. M., & Koller, A. (2020)
- Notes on:
Combinatory Chemistry: Towards a Simple Model of Emergent Evolution
by Kruszewski, G., & Mikolov, T. (2020)
- Notes on:
Complexity and evolution: What everybody knows by McShea, D. W.
(1991)
- Notes
on: Curiosity-Driven Exploration by Self-Supervised Prediction by
Pathak, D., Agrawal, P., Efros, A. A., & Darrell, T.
(2017)
- Notes on:
Developmental mappings and phenotypic complexity by Lehre, P. K., &
Haddow, P. C. (2003)
- Notes
on: Diversity preservation in minimal criterion coevolution through
resource limitation by Brant, J. C., & Stanley, K. O.
(2020)
- Notes on:
Drinking from a Firehose: Continual Learning with Web-scale Natural
Language by Hu, H., Sener, O., Sha, F., & Koltun, V.
(2020)
- Notes on:
Efficient Neural Architecture Search via Parameter Sharing by Pham,
H., Guan, M. Y., Zoph, B., Le, Q. V., & Dean, J. (2018)
- Notes on:
Evolution in asynchronous cellular automata by Nehaniv, C. L.
(2003)
- Notes on:
Evolved Open-Endedness, Not Open-Ended Evolution by Pattee, H. H.,
& Sayama, H. (2019)
- Notes on:
Evolving a self-repairing, self-regulating, French flag organism by
Miller, J. F. (2004)
- Notes on:
Evolving Neural Networks through Augmenting Topologies by Stanley,
K. O., & Miikkulainen, R. (2002)
- Notes on: Fast
and stable MAP-Elites in noisy domains using deep grids by Flageat,
M., & Cully, A. (2020)
- Notes
on: Growing Neural Cellular Automata by Mordvintsev, A., Randazzo,
E., Niklasson, E., & Levin, M. (2020)
- Notes on:
Hopfield Networks is All You Need by Ramsauer, H., Schäfl, B.,
Lehner, J., Seidl, P., Widrich, M., Gruber, L., Holzleitner, M., …
(2020)
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Information-Theoretic Probing with Minimum Description Length by
Voita, E., & Titov, I. (2020)
- Notes
on: Intelligence without representation by Brooks, R. A.
(1991)
- Notes on:
Intrinsically Motivated Discovery of Diverse Patterns in
Self-Organizing Systems by Reinke, C., Etcheverry, M., & Oudeyer,
P. (2020)
- Notes on:
Learning Transferable Architectures for Scalable Image Recognition
by Zoph, B., Vasudevan, V., Shlens, J., & Le, Q. V. (2018)
- Notes on:
Legendre Memory Units: Continuous-Time Representation in Recurrent
Neural Networks by Voelker, A., Kajić, I., & Eliasmith, C.
(2019)
- Notes on:
Modeling systems with internal state using evolino by Wierstra, D.,
Gomez, F. J., & Schmidhuber, J. (2005)
- Notes on:
Molecule Attention Transformer by Maziarka, Ł., Danel, T., Mucha,
S., Rataj, K., Tabor, J., & Jastrzębski, S. (2020)
- Notes on: More Is
Different by Anderson, P. W. (1972)
- Notes on: Network
Deconvolution by Ye, C., Evanusa, M., He, H., Mitrokhin, A.,
Goldstein, T., Yorke, J. A., Fermuller, Cornelia, … (2020)
- Notes on:
Neural Architecture Search with Reinforcement Learning by Zoph, B.,
& Le, Q. V. (2017)
- Notes on:
Neural Circuit Policies Enabling Auditable Autonomy by Lechner, M.,
Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu, R.
(2020)
- Notes on:
Neuroevolution: from architectures to learning by Floreano, D.,
Dürr, P., & Mattiussi, C. (2008)
- Notes on:
Nyströmformer: A Nyström-Based Algorithm for Approximating
Self-Attention by Xiong, Y., Zeng, Z., Chakraborty, R., Tan, M.,
Fung, G., Li, Y., & Singh, V. (2021)
- Notes
on: On Adversarial Mixup Resynthesis by Beckham, C., Honari, S.,
Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., …
(2019)
- Notes
on: On the expressive power of programming languages by Felleisen,
M. (1991)
- Notes on:
PCGRL: Procedural Content Generation via Reinforcement Learning by
Khalifa, A., Bontrager, P., Earle, S., & Togelius, J.
(2020)
- Notes on:
POET: open-ended coevolution of environments and their optimized
solutions by Wang, R., Lehman, J., Clune, J., & Stanley, K. O.
(2019)
- Notes on:
Regenerating Soft Robots through Neural Cellular Automata by
Horibe, K., Walker, K., & Risi, S. (2021)
- Notes
on: Reservoir Computing in Artificial Spin Ice by Jensen, J. H., &
Tufte, G. (2020)
- Notes on:
Reservoir Computing meets Recurrent Kernels and Structured
Transforms by Dong, J., Ohana, R., Rafayelyan, M., & Krzakala, F.
(2020)
- Notes on:
Resilient Life: An Exploration of Perturbed Autopoietic Patterns in
Conway's Game of Life by Cika, A., Cohen, E., Kruszewski, G., Seet,
L., Steinmann, P., & Yin, W. (2020)
- Notes on:
Safe Reinforcement Learning through Meta-learned Instincts by
Grbic, D., & Risi, S. (2020)
- Notes on:
Scaling down Deep Learning by Greydanus, S. (2020)
- Notes on:
Seeking open-ended evolution in Swarm Chemistry by Sayama, H.
(2011)
- Notes on:
Spontaneous fine-tuning to environment in many-species chemical
reaction networks by Horowitz, J. M., & England, J. L.
(2017)
- Notes on: The
Architecture of Complexity by Simon, H. A. (1962)
- Notes on:
The geometry of integration in text classification RNNs by Aitken,
K., Ramasesh, V. V., Garg, A., Cao, Y., Sussillo, D., &
Maheswaranathan, N. (2020)
- Notes on: The
information theory of individuality by Krakauer, D., Bertschinger,
N., Olbrich, E., Flack, J. C., & Ay, N. (2020)
- Notes
on: Transformers are RNNs: Fast Autoregressive Transformers with
Linear Attention by Katharopoulos, A., Vyas, A., Pappas, N., &
Fleuret, F. (2020)
- Notes on:
Transition phenomena in cellular automata rule space by Li, W.,
Packard, N. H., & Langton, C. G. (1990)
- Novelty search
- Nyström method
- Online privacy
- Ontogeny
recapitulates phylogeny
- Open-ended
Evolution
- Optimal control
- Optimization
- Physics
- Picbreeder
- Privacy-preserving
machine learning
- Program synthesis
- Programming
languages
- Public key
encryption
- Python
- Quality diversity
- Rainbow tables
- Raven's
progressive matrices
- Reaction-diffusion
- Recurrent neural
networks
- Regular
expressions
- Reinforcement
learning
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computing
- Reversible
cellular automata
- Rice’s theorem
- RNA-world
- Robotics
- Ruby
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- Santa Fe
Institute
- Scala
- Schmidhuber on
Consciousness
- Sed utility
- Self-organization
- Self-replication
- Simpson's paradox
- SIR model
- Statistical
complexity
- Statistical
physics
- Supervised
learning
- Surprisingly
Turing-Complete
- Symmetric
encryption
- System of linear
equations
-
Talk: Alife 2020 keynote Lee Cronin - A Top Down Chemically
Embodied Artificial Life Computation
-
Talk: Alife 2020 keynote Luis Zaman - New Frontiers in Alife: What
was old is new again
- Talk:
Alife 2020 keynote Michael Levin - Robot Cancer
-
Talk: Alife 2020 keynote Sara Walker - The Natural History of
Information
- Talk:
Artificial Intelligence: A Guide for Thinking Humans
- Talk:
Differentiation of black-box combinatorial solvers
-
Talk: The Importance of Open-Endedness in AI and Machine
Learning
- Text
classification
- The Lottery
ticket hypothesis
- The
Simulated reality hypothesis
- Theory of
computation
- Tierra
- Transformers
- Turing
completeness of cellular automata
- Turing degree
- Turing Machine
- Turing test
- Turing-completeness
- Unconventional
computing
- Unker
non-linear writing system
- Unsupervised
learning
- Urban science
- Variational
autoencoders
- Von
Neumann's self-reproducing CA
- Wavelets
- Why
programming is a good medium for expressing poorly understood and
sloppily-formulated ideas
- Wirth's law
- Word vectors
- Zuse's thesis
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