pith:MGTUWLE6
Learning Tree Automata with Term Rewriting
Supplying a term rewriting system allows the learning algorithm to deduce answers to some queries and thereby reduce the total number required to identify a tree automaton.
arxiv:2605.07710 v2 · 2026-05-08 · cs.FL
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\pithnumber{MGTUWLE65SIVEFGLTDSVQPUZYM}
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Claims
We present an extension of the Angluin-style learning algorithm for tree automata that incorporates deductive inference. The learning algorithm is provided with a term rewriting system that specifies properties of the target tree language. This term rewriting system is used to infer answers to some queries, which reduces the query complexity of the learning algorithm.
The supplied term rewriting system is assumed to be sound, complete, and consistent with the target language so that all deductive inferences drawn from it are correct and do not miss relevant equivalences.
Extending tree automaton learning with term rewriting systems enables deductive answers to some queries and reduces query complexity for languages with specified properties.
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Receipt and verification
| First computed | 2026-05-25T02:02:16.415300Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
61a74b2c9eec915214cb98e5583e99c33c766c8fa56ded709f409fb73b92e780
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MGTUWLE65SIVEFGLTDSVQPUZYM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 61a74b2c9eec915214cb98e5583e99c33c766c8fa56ded709f409fb73b92e780
Canonical record JSON
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