Reference library
Statistical mechanics of cellular automata
Paper summary
Analyzes elementary cellular automata as statistical systems with local deterministic rules. The study develops patterns, dynamical classifications, and statistical behavior as a foundation for investigating self-organization.
Relevance to the project
A source of simple dynamical nulls and the distinction between complex appearance and designed local rules. Useful for testing persistence and novelty metrics.
Statistical analogy does not supply the current simulation with physical thermodynamics.
Source record
- Reference ID
- doi-10-1103-revmodphys-55-601
- Archived version
- Author-hosted published Reviews of Modern Physics PDF
- Summary provenance
- reference-library/papers/doi-10-1103-revmodphys-55-601/metadata.json · summary
- Review status
- initial orientation summary; not a critical full-paper review
- Reading scope
- Selected abstract/opening and available closing discussion/conclusion passages in the preserved text extract; broader project notes provide context. No reproduction of experiments, exhaustive methods review, or equation/figure audit.