concept
active
concept:cellular-automataCellular Automata
Foundational computational paradigm of local rules producing emergent global behavior, extended by this work
Neighborhood — ranked by edge-count
Frameworks (2)
framework
- The novel framework introduced in this paper, combining DLGN and NCA for fully differentiable discrete CA learning
- Neural Cellular AutomataextendsPrior framework combining cellular automata with deep learning, extended by this work
Concepts (1)
concept
- Emergenceassociated_withCreation of qualitatively new properties at higher organizational level; requires non-linear fitness interactions.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Specific NCA framework by Mordvintsev et al. for morphogenesis, whose conventions are adopted in this paper
- Biological units that are considered unconventional media for problem-solving in diverse intelligence.
- Artificial Life research paradigm relying on self-modifying code (e.g., Tierra, Avida, Stringmol) to evolve digital organisms.
- Theoretical construct establishing classical demarcation between machine and environment via input/output channels.
- Referenced for Aristotelian science, practical wisdom, and formal/final causation; contrast to modern Newtonian paradigm.
- The computational approach used to simulate morphogenesis with cells as agents on a 2D grid; allows quantitative testing of stress-sharing hypothesis.
- Ashby's 1967 foundational work on formal automata and adaptive learning; cited as key precedent for the Good Regulator theorem.
- Among 17 chaotic/complex cellular automata rules, 30% show causal emergence, 70% show causal degradation.finding0.740Varley (2020) analysis using ordinal partition network on cellular automata.