Ettore Randazzo

Ettore Randazzo works on computational artificial life and self-organizing systems, including research into how self-replicating programs can emerge through interactions among simple programs. His work also includes neural cellular automata, models that can grow and regenerate patterns, and Particle Lenia, an artificial-life system built from interacting particles.

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cognitiverevolution.ai

Computational Life: How Self-Replicators Arise from Randomness

A conversation about research on self-replicating programs emerging from simple interactions and its implications for computational life.

Media appearance

selforglive.github.io

Differentiable Self-Organizing Systems — ALIFE 2021 Tutorial

A tutorial on building self-organizing systems with differentiable programming, including neural cellular automata and neural reaction-diffusion.

Media appearance

youtube.com

Particle Lenia

An introduction to Particle Lenia, an artificial-life system of particles that produce and respond to potential energy fields.

Media appearance

arxiv.org

Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction

Research on how self-replicating programs can emerge from random interactions in computational environments without an explicit fitness landscape.

Writing

research.google

Growing Neural Cellular Automata

Research on a differentiable cellular automata model that grows and regenerates specified patterns.

Writing

oteret.github.io

Ettore's blog

A collection of short posts and project notes on neural cellular automata, Particle Lenia, and self-replicating neural agents.

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Ettore Randazzo

Products & media

Computational Life: How Self-Replicators Arise from Randomness

Differentiable Self-Organizing Systems — ALIFE 2021 Tutorial

Particle Lenia

Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction

Growing Neural Cellular Automata

Ettore's blog

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