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Models: the need for abstraction

Explore the need for abstraction in models and how it allows us to generalize and theorize to discern regularity and predictability. Learn key vocabulary related to abstraction, assumptions, and faulty cause-and-effect relations.

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Models: the need for abstraction

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  1. Models: the need for abstraction Unit 5

  2. abstraction = generalisation, theorisation abstract=generalise, theorise discern=distinguish regularity consistent=constant ON average predict sth. (v.) prediction (n.) predictable (adj.) peans (Sing. , Pl.) thought isolate (v.) isolation (n.) assume (v.) assumption (n.) handle sth. =deal with sth. surround detail be involved IN sth. loaf (sing.)- loaVES (pl.) Vocabulary 1

  3. a loaf of bread purchase (v., n.) be interested IN sth. extraneous= inessential, coming from outside, not a vital part mind limited (adj.) riddle complex=complicated under consideration= being currently discussed humanity progress (v., n.) multiplicity=variety irrelevant=unimportant seldom=rarely conduct=convey, carry out human being determine=decide imperfect a limitation TO sth essential=fundamental Vocabulary 2

  4. nonetheless=nevertheless a substitute FOR sth. = a replacement follow the rules=stick to the rules avoid sth./doing sth. common=usual, frequent fallacy=a false notion fallacy of composition= lažnost sastava post hoc, ergo propter hoc fallacy= After this, therefore because of this this fallacy is committed when it is concluded that one event causes another simply because the proposed cause occurred before the proposed effect be based ON sth. suppose=what if fox faulty=wrong cause-and-effect relation Vocabulary 3

  5. Vocabulary 4

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