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Summary

Samenvatting Logic and Modelling (X_401015)

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Summary of the course Logic & Modelling given at the VU University Amsterdam

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Uploaded on
July 12, 2022
Number of pages
28
Written in
2020/2021
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Summary

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Lecture 1



The
goal is to abstract away the patterns of reasoning from

the natural
language .
We want to
say exactly how and when

conclusions from
we can reach certain certain
hypotheses .




Informal arguments can be written in a formal symbolic way .




In the propositional logic
language of ,
sentences or formulas

that write down to
you are
going represent statements or


associations or
propositions .




the
goal symbolic logic is to identify the core elements
of

of reasoning and argumentation and explain how they work .




notations
Symbols of
key logical are :



if A then B "
"
A B implication
"
A and
conjunction
"
A B B

disjunction
"

A B A or B
"




A negation
" "
not A
" "

× A for every ×, A universal
A "
for some existential
"

+ × ,
A

Natural deduction is used to proof systems .
A deductive

system is sound if it
only allows us to derive valid

assertions and entailment . It is complete .
If the
system
is strong enough to allow us to verify all valid assertions
and entailment's .




rules of inference

implication
A B A
E implication elimination
B if we know A B and A ,
then we can conclude B .




I


A.
thetemporary assumption that A holds is
by making it explicit in the conclusion
" "
: cancelled .




B
1 I implication introduction rule

A B assume A 4) try to conclude B

, Conjunction hypotheses are on
A B I and introduction rule top and conclusions at
A B the bottom

A B and elimination left
EL
A

A B
Er and elimination right
B

An introduction rule shows how to establish a claim involving
the connective ,
while an elimination rule shows how to use

such a statement that contains the connective to derive others .




natural deduction =
a
proof is a tree of applications of

the rules of inference . The root is at the bottom .




In natural deduction is proof from
,
every proof a
hypotheses .




In other words ,
in any proof ,
there is a finite set of

EB C. conclusion A what the
hypotheses ,
. . . 3 and a ,
and

proof shows is that A follows from B. C. . . .




the assumption rule A can be used at
any time
"
A have proved A
"

assuming ,
we


(1)

A A B A
prove C from E

A B B B C B
hypotheses and C E

1. A C
I (1)
A C


prove CCA CB C) ) ( CA B) C) from no hypotheses
I. A CB C)

2 . A B

(2)
A B
(1) EL (2)
A CB C) A A B
Er
B C B
E
C
I (2)
(A B) C
I (1)
( CA CB C) ) ( CA B) C)

, Lecture 2

rules of inference

negation and falsity
1



It means that it is impossible .




:
negation introduction

, I
if we assume A and we establish impossibility
A then have
we not A


A A
E negation elimination

or contradiction introduction I




E contradiction elimination
A if I can prove falsity ,
then I can prove anything
=
last resort


disjunction

A introduction
T
- L disjunction left
AVB

B
In disjunction introduction right
AVB in order to known A B it suffices to
,




/ , prove one side CA or B) .




A B
: :

two hypothetical branches
.




A B C C
, E disjunction elimination
C

derive the formula from no hypotheses :




(A B) L7A B) cancelled
hypotheses can be

I. (A B) (2) (3)
2. A a)
A- It 4)
B
In
LA B) A B (A B) A B
3. B -
I I (3)

I (2) I
7A B
I
7A B
-

I (1)

(A B) L7A B)

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