Claim · 1990-06 · publication · Stated in source · Supported

Koza (1990) describes genetic programming as a simulated evolutionary process that starts from a population of randomly generated LISP S-expressions and breeds them by fitness.

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What it connects

Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems → discusses →

Where it appears

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Claim and evidence

Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problemsdiscusses ↓

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 1990-06 · publication Records dated 1990 →

Scope and limits"New" is the report's own word for its paradigm.

The evidence 01

primary sourceSupports the claim

Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems

Stanford University Computer Science Department (report STAN-CS-90-1314, as hosted on genetic-programming.com) · 1990-06

Cite the original source

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Source excerpt

“this simulated evolutionary process starts with an initial population of randomly generated LISP S-expressions composed of functions and terminals appropriate to the problem domain”

Location in source PDF p. 8, introduction

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: John R. Koza
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 ada3dfc040fb1341dfce6dfaf10938f7f1e9855f45e75331f2fa71e4b1592474). Report PDF hosted on the author's site; text layer with some mis-encoded quotation marks.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: John R. Koza, “Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems”, 1990-06.
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 (24 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. 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. The concept is explicitly discussed in the document. This makes no earliest-use, invention or transmission claim.

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

Record ID th-evo-koza-1990-def