Computer science Models of computation Example
Rule 110
Builds on Cellular automatonTuring completeness
Example
Rule 110 is the one-dimensional cellular automaton with states , neighbourhood and the following local rule .
| 111 | 110 | 101 | 100 | 011 | 010 | 001 | 000 | |
|---|---|---|---|---|---|---|---|---|
| new | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 |
The bottom row, read as a binary numeral, is , which gives the name under Wolfram's numbering. The global map is for all . It is a cellular automaton because the new value at each site depends only on the sites at offsets . The same rule is used at every site.
Check on a small configuration: let have a single at site and elsewhere. At site the neighbourhood is , so the new value is . At site it is , so the new value is . At site it is , so the new value is . All other sites see and stay . So has at sites and , and the pattern grows to the left.
Remarks
Rule 110 is Turing complete: suitable initial configurations make it simulate any Turing machine. Matthew Cook proved this by showing that it simulates cyclic tag systems, which are themselves universal. The simulation needs an infinite background pattern that repeats periodically, so it does not start from a configuration with finitely many s. It is among the simplest known systems that are Turing complete.
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Shift space concept
- Turing completeness concept
- Cellular automaton definition
- Rule 110 example
Further reading
About this page
| Tag | KT6HCJGJF7 |
|---|---|
| URI | m2://KT6HCJGJF7 |
| Kind | example |
| Writing | W0 stub |
| MSC | 68Q80, 37B15 |
| Instance of | Cellular automaton |
| Uses | Cellular automaton, Turing completeness |
| Same as | |
| Changed | 3 November 2026 |
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