Foundations Logic Flashcards

1
Q

single arrow

A
  • introduced by sufficient and necessary words (i.e. if/then, when all, every, only). Both positive or both negative
    Ex: All X are Y (x->y)
    Ex: If NOT x then not y (~x-.~y)
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2
Q

double arrow

A
  • introduced by “if and only if” or “vice versa” or “both ways” (I.e. X ifi and only if Y
  • means they happen both or neither
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3
Q

double not arrow

A
  • introduced by only one negative term or words like “no” and “none” (i.e. NO X are Y)
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4
Q

“some”

A

(at least one, possibly all)
(i.e. some X are Y)
- “not all X are Y (not all-some are not)

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5
Q

other “some” indicators

A
  1. some
  2. at least some
  3. at least one
  4. a few
  5. a number
  6. several
  7. part of
  8. a portion
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6
Q

“most”

A
  • a majority but possibly all (i.e. most x are y)
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7
Q

other “most” indicators

A
  1. most
  2. a majority
  3. more than half
  4. almost all
  5. usually
  6. typically
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8
Q

contrapositives for most and some

A

THERE ARE NONE, there is only if/then

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9
Q

numeric values for formal logic

A
  • all is 100%
  • most is 51-100%
  • some are not is 0-99%
  • most are not is 0-49%
  • some is 1-100%
  • none is 0%
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10
Q

the rules for reversibility

A
  • reversible relationships include none, some, and the double arrow
  • non-reversible relationships include all and most.
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11
Q

be careful with “some are not” reverses

A

(X some ~Y = ~Y some X)
Do NOT move the NOT.

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12
Q

inherent v. additive inferences

A

(inherent) if most X are y, then some x are y

(additive) if x-> y & y->z, then x->

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13
Q

inherent logic ladder

A

all->most->some

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14
Q

note: “if and only if” can be an “all” on the logic ladder

A
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15
Q

logic ladder for negatives

A

none->most are not-> some are not

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16
Q

rules of logic

A
  1. start by looking at the ends of the chains
  2. the vast majority of additive inferences require either an “all” or “none” in the chain
  3. when looking to make inferences, do NOT with a variable involved in a double negative
  4. there has to be an arrow leading away from a some to combine (i.e. A some B -> C - A some C) BUT A some B<-C does not equal anything
  5. most train: same as some but most is not bi-directional and must follow arrow
  6. an arrow followed by a double not will yield an inference (i.e. A->B</-> C = A</->C)
  7. use inherent inferences
  8. Be sure to keep relevant negatives
  9. two somes won’t yield and neither will some “most” or “vast majority”. But, A(<-most)B(most->)C is A some C. (*2 mosts must lead away from one another)
  10. Analyze compound statements
  11. Once an inference is build, you don’t need to build it again