Finite-Memory Prediction and Remote Feedback in Langton's Ant

A black read is old at memory depth D when its cell was absent from the preceding D visits. From any complete finite initial state, an algorithm finds the next old-black read or certifies its absence; for fixed D it runs in polynomial time in sparse binary input size. Finite arithmetic segments preserve every skipped write and the complete endpoint field. Geometric estimates give quadratic finite-event deadlines and total spatially and birth-filtered queries. Non-eventually-translating orbits must consume infinitely many black lifetimes that are simultaneously late-born, old and remote. A twenty-black family has unbounded feedback lifetimes with exactly 31 intervening old-black reads at D=128, establishing the essential role of spatial extent in lifetime bounds.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23665511
Primary Topic
Cellular Automata and Applications
Type
preprint
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preprint

Finite-Memory Prediction and Remote Feedback in Langton's Ant

Ke Hao
Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
preprint

Finite-Memory Prediction and Remote Feedback in Langton's Ant

Ke Hao
preprint en

Abstract

A black read is old at memory depth D when its cell was absent from the preceding D visits. From any complete finite initial state, an algorithm finds the next old-black read or certifies its absence; for fixed D it runs in polynomial time in sparse binary input size. Finite arithmetic segments preserve every skipped write and the complete endpoint field. Geometric estimates give quadratic finite-event deadlines and total spatially and birth-filtered queries. Non-eventually-translating orbits must consume infinitely many black lifetimes that are simultaneously late-born, old and remote. A twenty-black family has unbounded feedback lifetimes with exactly 31 intervening old-black reads at D=128, establishing the essential role of spatial extent in lifetime bounds.

Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
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