---
title: AI, short for artificial intelligence (artificial means made by peop… — What is AI? Pattern-guessers, not people · tree and pragmatics
description: AI, short for artificial intelligence (artificial means made by people, not grown by nature), is the name for computer programs that learn patterns from huge piles of examples instead of following only rules a person wrote line by line. Who acts: AI, computer programs, person. A sentence of the less
---

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# What is AI? Pattern-guessers, not people, sentence 0

<!-- .ven lang=en -->
AI, short for artificial intelligence (artificial means made by people, not grown by nature), is the name for computer programs that learn patterns from huge piles of examples instead of following only rules a person wrote line by line.

<!-- .vintro -->
**Who acts:** AI, computer programs, person · **What happens:** make, not grow, be, learn, follow, write · **To what, where:** artificial means, people, name, patterns, huge piles, rules

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This is a sentence of the lesson «What is AI? Pattern-guessers, not people» of the ai course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (AI, computer programs, person), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:001-what-is-ai.lesson:0
# text = AI, short for artificial intelligence (artificial means made by people, not grown by nature), is the name for computer programs that learn patterns from huge piles of examples instead of following only rules a person wrote line by line.
# source = school lesson (ours)
# course = ai
# lesson = 001-what-is-ai.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×1, R8-pos-agree ×1
1	AI	ai	NOUN	NN	Number=Sing	22	nsubj	_	Agree=R8-pos-agree|Haiku=22:nsubj|HaikuPos=PROPN:NNP:_
2	,	,	PUNCT	,	_	1	punct	_	_
3	short	short	ADJ	JJ	Degree=Pos	1	amod	_	_
4	for	for	ADP	IN	_	6	case	_	_
5	artificial	artificial	ADJ	JJ	Degree=Pos	6	amod	_	_
6	intelligence	intelligence	NOUN	NN	Number=Sing	3	obl	_	_
7	(	(	PUNCT	-LRB-	_	9	punct	_	_
8	artificial	artificial	ADJ	JJ	Degree=Pos	9	amod	_	_
9	means	means	NOUN	NNS	Number=Ptan	6	appos	_	_
10	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	9	acl	_	_
11	by	by	ADP	IN	_	12	case	_	_
12	people	people	NOUN	NNS	Number=Plur	10	obl:agent	_	_
13	,	,	PUNCT	,	_	15	punct	_	_
14	not	not	PART	RB	Polarity=Neg	15	advmod	_	_
15	grown	grow	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	12	acl	_	_
16	by	by	ADP	IN	_	17	case	_	_
17	nature	nature	NOUN	NN	Number=Sing	15	obl	_	_
18	)	)	PUNCT	-RRB-	_	15	punct	_	_
19	,	,	PUNCT	,	_	9	punct	_	_
20	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	22	cop	_	_
21	the	the	DET	DT	Definite=Def|PronType=Art	22	det	_	_
22	name	name	NOUN	NN	Number=Sing	0	root	_	_
23	for	for	ADP	IN	_	25	case	_	_
24	computer	computer	NOUN	NN	Number=Sing	25	compound	_	_
25	programs	program	NOUN	NNS	Number=Plur	22	nmod	_	_
26	that	that	PRON	WDT	PronType=Rel	27	nsubj	_	_
27	learn	learn	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	25	acl:relcl	_	_
28	patterns	pattern	NOUN	NNS	Number=Plur	27	obj	_	_
29	from	from	ADP	IN	_	31	case	_	_
30	huge	huge	ADJ	JJ	Degree=Pos	31	amod	_	_
31	piles	pile	NOUN	NNS	Number=Plur	27	obl	_	Agree=R5-strong|Haiku=28:nmod
32	of	of	ADP	IN	_	33	case	_	_
33	examples	example	NOUN	NNS	Number=Plur	31	nmod	_	_
34	instead	instead	ADV	RB	ExtPos=SCONJ	36	mark	_	Agree=R7-rel-agree|Haiku=36:advmod
35	of	of	ADP	IN	_	34	fixed	_	_
36	following	follow	VERB	VBG	Tense=Pres|VerbForm=Part	27	advcl	_	_
37	only	only	ADV	RB	_	38	advmod	_	_
38	rules	rule	NOUN	NNS	Number=Plur	36	obj	_	_
39	a	a	DET	DT	Definite=Ind|PronType=Art	40	det	_	_
40	person	person	NOUN	NN	Number=Sing	41	nsubj	_	_
41	wrote	write	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	38	acl:relcl	_	_
42	line	line	NOUN	NN	Number=Sing	41	obl:unmarked	_	_
43	by	by	ADP	IN	_	44	case	_	_
44	line	line	NOUN	NN	Number=Sing	42	nmod	_	_
45	.	.	PUNCT	.	_	22	punct	_	Agree=R6-punct-agree|Haiku=3:punct
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | participle |  | artificial means *not said here* |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset |
| 2 | **not** **grow** | participle |  | people *not said here* |  |  |  | by nature | vn appear-48.1.1 «NP V PP.location»: agent=Theme by nature=Location |
| 3 | **is a** | present | AI | the name |  |  |  | for computer programs | tree rules |
| 4 | **learn** | present | computer programs | patterns |  | huge piles of examples |  |  | vn learn-14-2-1 «NP V NP PP.source»: agent=Agent pattern=Topic from pile=Source |
| 5 | **follow** | gerund | computer programs *not said here* | rules |  |  |  |  | vn chase-51.6 «NP V NP»: agent=Agent rule=Theme |
| 6 | **write** | past | a person | line by line |  |  |  |  | vn scribble-25.2-1 «NP V NP»: agent=Agent rule=Theme |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:ai:001-what-is-ai.lesson:0`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×1, R8-pos-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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