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Valid and Invalid Arguments

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Title: Valid and Invalid Arguments


1
Valid and Invalid Arguments
  • Section 1.3

2
Monty Python and the Holy Grail
  • Quote 32 Witch Scene
  • From http//www.wavsite.com/sounds.asp?ID106
  • There are ways of telling whether she is a witch
  • What do you do with witches? Burn them!
  • What else do you burn? Wood!
  • Why do witches burn? Because theyre made of
    wood!
  • How do you tell if she is made of wood? Does
    wood sink in water? It floats!
  • What also floats? Bread! Apples! Very small
    rocks! A duck!
  • If she weighs the same as a duck, then shes made
    of wood
  • And therefore a witch!

3
Monty Python and the Holy Grail
  • Villagers burn Witches
  • Villagers burn Wood
  • If Witches are made of wood, then they float
  • Bread and Apples and Very small rocks and ducks
    float
  • If she weighs the same as a duck, then shes made
    of wood
  • ? Shes a witch!

4
Deductive Logic
  • The central concept of deductive logic is an
    argument
  • An argument is a sequence of statements aimed at
    demonstrating the truth of an assertion (or
    claim)
  • The statements are ordered in such a way that
    some are referred to as the premise and others
    are the conclusion
  • Form of an argument
  • Premise
  • Premise
  • ..
  • ? Conclusion
  • Example
  • If Roland eats sweets, then he will get fat
  • Roland eats sweets
  • ? Roland gets fat

Sequence of statements or propositions
If p then q p ? q
5
Valid Arguments
  • Whenever statements are substituted that make all
    the premises True, then the conclusion is also
    True
  • An argument is valid if its form is valid
  • There are 2 ways to determine if an argument is
    valid
  • Truth Tables
  • Inference Rules

6
Valid Arguments by Truth Tables
  • Steps to determine validity of argument
  • Identify premises and conclusions
  • Construct truth table
  • Find critical rows
  • In each critical row, determine if conclusion is
    True
  • Example
  • P ? Q
  • P
  • ? Q

prime propositions
premises
conclusion
Valid argument because conclusion is True
7
Valid Argument Example (continued)
(P ? Q) ? R Q ? (P ? R)
T T T T T F
T T T F T T F
T T F T T T T
T T F F T T T
T F T T T T
F T F T F T T
F F F F T F T
T T F F F F F
T F
All critical rows are True ? Valid
8
Invalid Arguments
  • When statements are substituted that make all the
    premises True, but the conclusion is False
  • Example
  • P ? Q
  • P
  • ? Q

prime propositions
premises
conclusion
Invalid argument because conclusion is False
9
Invalid Argument Example (continued)
(P ? Q) ? R P ? Q ? R
T T T T T F
T T T F T F F
T T F T T T F
T T F F T F F
F F T T T T
T T F T F T F
T T F F T F T
T T F F F F T
T F
All critical rows are not True ?
Invalid
10
Inference Rules
  • A valid argument form that enables the
    elimination or the introduction of a logical
    connective
  • Logical Laws and Equivalences are used to do
    Transformational Proofs (covered in previous
    section)
  • Logical Equivalences and Inferences are used to
    do Deductive Proofs
  • A Deductive Proof is an approach to establishing
    the validity of an argument by using a series of
    simpler arguments known to be valid

11
Modus Ponens
  • If both an implication and its hypothesis are
    known to be True, then the conclusion of the
    implication is also True
  • Latin Method of Affirming since conclusion is
    an affirmation
  • It has the form
  • If P then Q
  • P
  • ? Q
  • Example
  • If the patient has a pulse, then the patients
    heart is pumping
  • The patient has a pulse
  • ? The patients heart is pumping

Prove to yourself with a Truth Table!!
12
Modus Tollens
  • If an implication is known to be True and the
    conclusion of the implication is False, then the
    hypothesis of the implication is also False
  • Latin Method of Denying since conclusion is a
    denial
  • It has the form
  • If P then Q
  • Q
  • ? P
  • Example
  • If I win the lottery then I am lucky
  • I am not lucky
  • ? I did not win the lottery

Prove to yourself with a Truth Table!!
13
Other Valid Argument Forms
  • Generalization Used to make generalizations
  • Form
  • P Q
  • ?P ? Q ?P ? Q
  • Example You are asked to count the number of
    people in class that have dark (brown or black)
    hair
  • Sally has brown hair
  • ?Sally has brown hair or black hair

14
Other Valid Argument Forms (contd)
  • Specialization Used for specializing
  • Form
  • P Q P Q
  • ?P ?Q
  • Can an argument be valid if it has no critical
    rows? Yes! Consider the following
  • P P
  • ?P
  • No critical rows, yet the conclusion is True
  • True because of conjunctive simplification
    (vacuously true)

15
Other Valid Argument Forms (contd)
  • Elimination If you have two possibilities and
    you can rule one out, then the other must be the
    case
  • Form
  • P ? Q P ? Q
  • Q P
  • ?P ?Q
  • Example
  • Bill has a broken leg or a sprained ankle
  • Bill does not have a sprained ankle
  • ? Bill has a broken leg

16
Other Valid Argument Forms (contd)
  • Transitivity Chains of if then statements if
    the first implies a second the second implies a
    third, then you can conclude the first implies
    the third
  • Form
  • P ? Q
  • Q ? R
  • ? P ? R

T T T T T T T T F
T F F T F T F T
T T F F F T F F T
T T T T F T F T
F T F F T T T
T F F F T T T
  • Example
  • If 8 is divisible by 4, then 8 is divisible by 2
  • If 8 is divisible by 2, then the sum of the
    digits of 8 is divisible by 2
  • ? If 8 is divisible by 4, then the sum of the
    digits of 8 is divisible by 2

17
Other Valid Argument Forms (contd)
  • Proof by Division into Cases If you know one
    proposition or another is True, and in either
    case a certain conclusion follows, then the
    conclusion must be True
  • Form
  • P ? Q
  • P ? R
  • Q ? R
  • ? R
  • Example
  • Wayne walks or runs 3 miles a day
  • If Wayne walks 3 miles, then Wayne gets exercise
  • If Wayne runs 3 miles, then Wayne gets exercise
  • ? Wayne gets exercise

18
A More Complex Deduction
  • A set of premises and conclusions are given. Use
    Inference Rules to deduce the conclusion from the
    premises giving a reason for each step.
  • Given
  • B ? D ? E
  • E
  • C ? D
  • ? C

B ? D ? E Premise E Premise ? (B ? D) Modus
Tollens (1)
(B ? D) (1) B D DeMorgan ?
D Specialization (2)
C ? D Premise D (2) ? C Modus Tollens
(Conclusion)
19
Fallacies
  • A Fallacy is an error in reasoning that results
    in an invalid argument
  • Three common fallacies are
  • Using vague or ambiguous premises
  • Begging the question (assuming what is to be
    proved without deriving it from the premises)
  • Jumping to a conclusion (without adequate
    grounds)
  • Two other fallacies that resemble Modus Ponens
    and Modus Tollens but are not in fact valid
  • Inverse Error
  • Converse Error

20
Converse Error
  • Example
  • If the butler did it, then he has blood on his
    hands
  • The butler had blood on his hands
  • ? The butler did it
  • Argument form
  • P ? Q
  • Q
  • ? P
  • Fallacy is called converse error because the
    conclusion of the argument would follow from the
    premises if the premise P ? Q were replaced by
    its converse
  • Remember, an implication is not logically
    equivalent to its converse i.e. P ? Q ? Q ? P

P Q P ? Q Q P T T T T T T
F F F T F T T T
F F F T F F
21
Inverse Error
  • Example
  • If the butler is nervous, then he did it
  • The butler is very mellow
  • ? The butler did not do it
  • Argument form
  • P ? Q
  • P
  • ? Q
  • Fallacy is called inverse error because the
    conclusion of the argument would follow from the
    premises if the premise P ? Q were replaced by
    its inverse
  • Remember, an implication is not logically
    equivalent to its inverse i.e. P ? Q ? P ? Q

P Q P ? Q P Q T T T F F T
F F F T F T T T
F F F T T T
22
Contradiction
  • Suppose that P is a statement whose truth you
    wish to deduce If you can show that the
    supposition that statement P is false leads
    logically to a contradiction, then you can
    conclude that p is True
  • Form
  • P ? c
  • P
  • Example
  • Percule Hoirot murder mystery

23
Translation of Problems
  • The famous detective Percule Hoirot was called in
    to solve a baffling murder mystery. He
    determined the following facts
  • Lord Hazelton, the murdered man, was killed by a
    blow on the head with a brass candlestick.
  • Either Lady Hazelton or a maid, Sara, was in the
    dining room at the time of the murder.
  • If the cook was in the kitchen at the time of the
    murder, then the butler killed Lord Hazelton with
    a fatal dose of strychnine.
  • If Lady Hazelton was in the dining room at the
    time of the murder, then the chauffeur killed
    Lord Hazelton.
  • If the cook was not in the kitchen at the time of
    the murder, then Sara was not in the dining room
    when the murder was committed.
  • If Sara was in the dining room at the time the
    murder was committed, then the wine steward
    killed Lord Hazelton

24
Translation of Problems
  • Lord Hazelton, the murdered man, was killed by a
    blow on the head with a brass candlestick.
  • Weapon_candlestick
  • Either Lady Hazelton or a maid, Sara, was in the
    dining room at the time of the murder.
  • Lady_dining V Sara_dining
  • If the cook was in the kitchen at the time of the
    murder, then the butler killed Lord Hazelton with
    a fatal dose of strychnine.
  • Cook_kitchen ? butlerDidIt
  • Cook_kitchen ? Weapon_candlestick
  • If Lady Hazelton was in the dining room at the
    time of the murder, then the chauffeur killed
    Lord Hazelton.
  • Lady_dining ? chauffeurDidIt
  • If the cook was not in the kitchen at the time of
    the murder, then Sara was not in the dining room
    when the murder was committed.
  • Cook_kitchen ? Sara_dining
  • If Sara was in the dining room at the time the
    murder was committed, then the wine steward
    killed Lord Hazelton
  • Sara_dining ? stewardDidIt

25
Translation of Problems
  • Weapon_candlestick
  • Lady_dining ? Sara_dining
  • Cook_kitchen ? butlerDidIt
  • Cook_kitchen ? Weapon_candlestick
  • Lady_dining ? chauffeurDidIt
  • Cook_kitchen ? Sara_dining
  • Sara_dining ? stewardDidIt

WC LD V SD CK ? BD CK ? WC LD ? CD CK ? SD SD
? STD
26
Translation of Problems
  • Case 1 Sara_dining (SD)
  • CK ? WC Premise
  • WC Premise
  • CK Modus Tollens (1)
  • CK ? SD Premise
  • SD Premise
  • CK Modus Tollens (2)
  • CK ? BD Premise
  • CK (2)
  • BD Modus Ponens (3)
  • SD ? STD Premise
  • SD Premise
  • STD Modus Ponens (4)
  • Case 2 Lady_dining (LD)
  • LD ? CD Premise
  • LD Premise
  • CD Modus Tollens

chauffeurDidIt!
(3) and (4) cant both be right butlerDidIt and
stewardDidIt - Contradiction! So, LD ? c ? LD
27
Other Examples
  • Nerds are good at math
  • Buffy is good at math.
  • ? Buffy is a nerd.

P x is a nerd Q x is good at math P ? Q Q ?P
- Invalid by converse error!
P x is tired Q x finds it difficult to
study P ? Q Q ? P - Valid by Modus Tollens!
It is difficult to study whenever I am tired I
found it easy to study today. ? I am not tired
today.
28
Other Examples
  • Animals at the bottom of the food chain are very
    nervous
  • People are not at the bottom of the food chain.
  • ? People are not nervous

P x is at the bottom of the food chain Q x
is nervous P ? Q P ?Q - Invalid by inverse
error!
Im always in a good mood when I feel good. I
feel great today. ? Im in a good mood.
P x feels good Q x is in a good mood P ?
Q P ?Q - Valid by Modus Ponens!
29
Other Examples
  • P ? Q ? R
  • S ? Q
  • T
  • P ? T
  • P ? R ? S
  • ? Q

P ? Q ? R Premise P ? Q (2) ? R Modus Ponens
(3) P (1) R (3) ? P ? R Conjunction
(4) P ? R ? S Premise P ? R (4) ? S Modus
Ponens (5) S ? Q Premise S (5) ?
Q Elimination
  • P ? T Premise
  • T Premise
  • ? P Modus Tollens (1)
  • P (1)
  • ? P ? Q Generalization (2)
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