Claim · 1986 · publication · Stated in source · Supported

Dechter's AAAI-86 paper uses "deep learning" for a form of learning while searching in constraint-satisfaction problems, contrasted with "shallow learning".

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Learning While Searching in Constraint-Satisfaction-Problems → uses the name →

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Learning While Searching in Constraint-Satisfaction-Problemsuses the name ↓

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 1986 · publication Records dated 1986 →

Scope and limitsAnother sense: learning of conflict sets during backtracking search, not learning in neural networks. Schmidhuber (2022) credits this paper with bringing the term to machine learning; that attribution is recorded separately.

The evidence 01

primary sourceSupports the claim

Learning While Searching in Constraint-Satisfaction-Problems

AAAI (proceedings host, cdn.aaai.org) · 1986

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Our experiments (implemented in LISP on a Symbolics LISP Machine) show that in most cases both performance measures improve as we move from shallow learning to deep learning and from first-order to second-order.”

Location in source PDF p. 5, experimental results

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Rina Dechter
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 59f6c1ca738a9acb5bc49985da12fae76ce2226e65899e18cbb281669f71c4f0). AAAI-86 proceedings PDF as hosted by AAAI (requested at www.aaai.org, served from cdn.aaai.org).
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Rina Dechter, “Learning While Searching in Constraint-Satisfaction-Problems”, 1986.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, Kinds of AI and technical history (research/technical-history). The quotation (33 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes, PDF line-break hyphens and Unicode compatibility forms, so the source’s typography can differ. The text layer reads “Symbolits”; the printed page reads “Symbolics”, as the cross-family check found (item 130). The quotation gives the printed form; the rest matched the text layer. A cross-family machine check (31 October 2026, item 130) re-read the record’s sources and found that they support what the record states. Its point that the quotation is repaired to the printed form was applied at admission. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A passage of the document uses a name for a family of methods or a term, in the sense the concept’s naming criterion describes or, where labelled, in another sense. The record documents the use; it is not evidence that the name began there, and it implies no influence on or from another text.

Date. Date of publication, as the source gives it.

Record ID th-dl-term-dechter-1986