SlideShare uma empresa Scribd logo
1 de 26
UNIVERSITI PENDIDKAN SULTAN IDRIS




                    PREPARED BY : MOHAMAD AL FAIZ BIN
                                 SELAMAT
Tautology:
A proposition that is always true for all possible value of its propositional
variables.




Example of a Tautology
The compound proposition p ˅¬p is a tautology because it is always true.


                     P                   ¬p                 p ˅ ¬p

                     T                    F                   T

                     F                    T                   T
P   ¬p   p ˅ ¬p

T   F      F

F   T      F
A contingency table is a table of counts. A two-dimensional
        contingency table is formed by classifying subjects by two
     variables. One variable determines the row categories; the other
       variable defines the column categories. The combinations of
      row and column categories are called cells. Examples include
      classifying subjects by sex (male/female) and smoking status
         (current/former/never) or by "type of prenatal care" and
       "whether the birth required a neonatal ICU" (yes/no). For the
1.
        mathematician, a two-dimensional contingency table with r
           rows and c columns is the set {xi j: i =1... r; j=1... c}.
:


,



    Definition:
    An argument is a sequence of propositions written

    The symbol ∴ is read “therefore.” The propositions, ,… are
    called the hypotheses (or premises) or the proposition q is
    called the conclusion. The argument is valid provide that if the
    proposition are all true, then q must also be true; otherwise,
    the argument is invalid (or a fallacy).
p→q
Determine whether the argument
                                              p
                                                  ∴q
Is valid
        [First solution] We construct a
truth table for all the propositions
involved.
              P        q      p→q         p   q


              T        T        T         T   T


              T        F        F         T   F


              F        T        T         F   T


              F        F        T         F   F
Rule of inference   Name
             p→q    Modus ponens
             p
              ∴q
             p→q    Modus tollens
             ⌐q
             ∴ ⌐p
                    Addition
             p
            ∴p˅q
                    Simplification
              p˅q
             ∴p
              p     Conjunction
              q
            ∴p˅q
            p→q     Hypothetical syllogism
            q→r
            ∴p→r
             p˅q    Disjunctive syllogism
             ⌐p
             ∴q
Represent the argument.
     The bug is either in module 17 or in module 81
     The bug is a numerical error
     Module 81 has no numerical error
     ___________________________________________
     ∴ the bug is in module 17.

Given the beginning of this section symbolically and
  show that it is valid.
  If we let
      p : the bug is in module 17.
      q : the bug is in module 81.
      r : the bug is numerical error.
The argument maybe written
                 pVq
                 r
                 r → ⌐q
                 ∴p
From r → ⌐q and r, we may use modus
  ponens to conclude ⌐q. From r V q and
  ⌐q, we may use the disjunctive syllogism to
  conclude p. Thus the conclusion p follows
  from the hypotheses and the argument is
  valid.
This method is based on Modus Ponens,
[(p ⇒ q) ˄ p ] ⇒ q
Virtually all mathematical theorems are
  composed of implication of the type,
          (
The are called the hypothesis or premise, and
  q is called conclusion. To prove a theorem
  means to show the implication is a tautology.
  If all the are true, the q must be also true.
Solution:
Let p: x is odd, and q: x2 is odd. We want to prove
  p → q.
Start: p: x is odd
→ x = 2n + 1 for some integer n
→ x2 = (2n + 1)2
→ x2 = 4n2 + 4n + 1
→ x2 = 2(2n2 + 2n) + 1
→ x2 = 2m + 1, where m = (2n2 + 2n) is an
  integer
→ x2 is odd
→ q
Definition:
An indirect proof uses rules of inference on the negation of
the conclusion and on some of the premises to derive the
negation of a premise. This result is called a contradiction.



    Contradiction: to prove a conditional proposition
     p ⇒ q by contradiction, we first assume that the
     hypothesis p is true and the conclusion is false
     (p˄ ~ q). We then use the steps from the proof of
     ~q ⇒ ~p to show that ~p is true. This leads to a
     contradiction (p˄ ~ p), which complete the proof.
Proof: Assume that x is even (negation of
 conclusion).
Say x = 2n             (definition of even).
Then = (substitution)
= 2n · 2n       (definition of exponentiation)
= 2 · 2n2       (commutatively of
 multiplication.)
Which is an even number (definition of even)
This contradicts the premise that is odd.
Slide subtopic 4

Mais conteúdo relacionado

Mais procurados

Chapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound StatementsChapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound Statementsguestd166eb5
 
CMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional EquivalencesCMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional Equivalencesallyn joy calcaben
 
Logic (slides)
Logic (slides)Logic (slides)
Logic (slides)IIUM
 
Mathematical Logic - Part 1
Mathematical Logic - Part 1Mathematical Logic - Part 1
Mathematical Logic - Part 1blaircomp2003
 
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكروDiscrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكروDr. Khaled Bakro
 
Logic (PROPOSITIONS)
Logic (PROPOSITIONS)Logic (PROPOSITIONS)
Logic (PROPOSITIONS)D Nayanathara
 
Computer Organization and Assembly Language
Computer Organization and Assembly LanguageComputer Organization and Assembly Language
Computer Organization and Assembly LanguageRaquel Mulles
 
Method of direct proof
Method of direct proofMethod of direct proof
Method of direct proofAbdur Rehman
 

Mais procurados (19)

Chapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound StatementsChapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound Statements
 
Discrete mathematics
Discrete mathematicsDiscrete mathematics
Discrete mathematics
 
Logic&proof
Logic&proofLogic&proof
Logic&proof
 
CMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional EquivalencesCMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional Equivalences
 
Logic (slides)
Logic (slides)Logic (slides)
Logic (slides)
 
Mathematical Logic
Mathematical LogicMathematical Logic
Mathematical Logic
 
Mathematical Logic - Part 1
Mathematical Logic - Part 1Mathematical Logic - Part 1
Mathematical Logic - Part 1
 
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكروDiscrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
 
Prpositional2
Prpositional2Prpositional2
Prpositional2
 
Logic (PROPOSITIONS)
Logic (PROPOSITIONS)Logic (PROPOSITIONS)
Logic (PROPOSITIONS)
 
Propositional logic
Propositional logicPropositional logic
Propositional logic
 
Logic
LogicLogic
Logic
 
Truth table
Truth tableTruth table
Truth table
 
Computer Organization and Assembly Language
Computer Organization and Assembly LanguageComputer Organization and Assembly Language
Computer Organization and Assembly Language
 
Method of direct proof
Method of direct proofMethod of direct proof
Method of direct proof
 
Discrete Math Lecture 02: First Order Logic
Discrete Math Lecture 02: First Order LogicDiscrete Math Lecture 02: First Order Logic
Discrete Math Lecture 02: First Order Logic
 
Logic - Logical Propositions
Logic - Logical Propositions Logic - Logical Propositions
Logic - Logical Propositions
 
C2.0 propositional logic
C2.0 propositional logicC2.0 propositional logic
C2.0 propositional logic
 
Chapter1p1
Chapter1p1Chapter1p1
Chapter1p1
 

Destaque

IT1101 Mathematics for Computing II 2001
IT1101 Mathematics for Computing II 2001IT1101 Mathematics for Computing II 2001
IT1101 Mathematics for Computing II 2001Gihan Wikramanayake
 
Lec 02 logical eq (Discrete Mathematics)
Lec 02   logical eq (Discrete Mathematics)Lec 02   logical eq (Discrete Mathematics)
Lec 02 logical eq (Discrete Mathematics)Naosher Md. Zakariyar
 
Propositions - Discrete Structures
Propositions - Discrete Structures Propositions - Discrete Structures
Propositions - Discrete Structures Drishti Bhalla
 
Discrete Mathematics - Propositional Logic
Discrete Mathematics - Propositional LogicDiscrete Mathematics - Propositional Logic
Discrete Mathematics - Propositional LogicUniversity of Potsdam
 
Discrete Mathematics - All chapters
Discrete Mathematics - All chapters Discrete Mathematics - All chapters
Discrete Mathematics - All chapters Omnia A. Abdullah
 

Destaque (6)

IT1101 Mathematics for Computing II 2001
IT1101 Mathematics for Computing II 2001IT1101 Mathematics for Computing II 2001
IT1101 Mathematics for Computing II 2001
 
Lec 02 logical eq (Discrete Mathematics)
Lec 02   logical eq (Discrete Mathematics)Lec 02   logical eq (Discrete Mathematics)
Lec 02 logical eq (Discrete Mathematics)
 
Propositions - Discrete Structures
Propositions - Discrete Structures Propositions - Discrete Structures
Propositions - Discrete Structures
 
Propositional logic
Propositional logicPropositional logic
Propositional logic
 
Discrete Mathematics - Propositional Logic
Discrete Mathematics - Propositional LogicDiscrete Mathematics - Propositional Logic
Discrete Mathematics - Propositional Logic
 
Discrete Mathematics - All chapters
Discrete Mathematics - All chapters Discrete Mathematics - All chapters
Discrete Mathematics - All chapters
 

Semelhante a Slide subtopic 4

UGC NET Computer Science & Application book.pdf [Sample]
UGC NET Computer Science & Application book.pdf  [Sample]UGC NET Computer Science & Application book.pdf  [Sample]
UGC NET Computer Science & Application book.pdf [Sample]DIwakar Rajput
 
Logic and proof
Logic and proofLogic and proof
Logic and proofSuresh Ram
 
logicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdflogicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdfPradeeshSAI
 
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdfrAjyarAjanItjJa
 
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptxssuser92109d
 
Disrete mathematics and_its application_by_rosen _7th edition_lecture_1
Disrete mathematics and_its application_by_rosen _7th edition_lecture_1Disrete mathematics and_its application_by_rosen _7th edition_lecture_1
Disrete mathematics and_its application_by_rosen _7th edition_lecture_1taimoor iftikhar
 
Arguments and methods of proof
Arguments and methods of proofArguments and methods of proof
Arguments and methods of proofRobert Geofroy
 
Chapter 01 - p1.pdf
Chapter 01 - p1.pdfChapter 01 - p1.pdf
Chapter 01 - p1.pdfsmarwaneid
 
Discrete-Chapter 04 Logic Part II
Discrete-Chapter 04 Logic Part IIDiscrete-Chapter 04 Logic Part II
Discrete-Chapter 04 Logic Part IIWongyos Keardsri
 
Dbms 14: Relational Calculus
Dbms 14: Relational CalculusDbms 14: Relational Calculus
Dbms 14: Relational CalculusAmiya9439793168
 
UNIT-III-PPT.pptx
UNIT-III-PPT.pptxUNIT-III-PPT.pptx
UNIT-III-PPT.pptxDakshBaveja
 
Inductive reasoning & logic
Inductive reasoning & logicInductive reasoning & logic
Inductive reasoning & logictommy34g
 
Discrete structures & optimization unit 1
Discrete structures & optimization unit 1Discrete structures & optimization unit 1
Discrete structures & optimization unit 1SURBHI SAROHA
 
Discrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.pptDiscrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.pptNandiniSR2
 
Chapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and ProofsChapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and ProofsProfSHananeel
 

Semelhante a Slide subtopic 4 (20)

UGC NET Computer Science & Application book.pdf [Sample]
UGC NET Computer Science & Application book.pdf  [Sample]UGC NET Computer Science & Application book.pdf  [Sample]
UGC NET Computer Science & Application book.pdf [Sample]
 
Slide subtopic 2
Slide subtopic 2Slide subtopic 2
Slide subtopic 2
 
Logic and proof
Logic and proofLogic and proof
Logic and proof
 
logicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdflogicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdf
 
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
 
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
 
Disrete mathematics and_its application_by_rosen _7th edition_lecture_1
Disrete mathematics and_its application_by_rosen _7th edition_lecture_1Disrete mathematics and_its application_by_rosen _7th edition_lecture_1
Disrete mathematics and_its application_by_rosen _7th edition_lecture_1
 
Arguments and methods of proof
Arguments and methods of proofArguments and methods of proof
Arguments and methods of proof
 
Chapter 01 - p1.pdf
Chapter 01 - p1.pdfChapter 01 - p1.pdf
Chapter 01 - p1.pdf
 
Chapter1p1.pdf
Chapter1p1.pdfChapter1p1.pdf
Chapter1p1.pdf
 
Chap05
Chap05Chap05
Chap05
 
Discrete-Chapter 04 Logic Part II
Discrete-Chapter 04 Logic Part IIDiscrete-Chapter 04 Logic Part II
Discrete-Chapter 04 Logic Part II
 
DS Lecture 2.ppt
DS Lecture 2.pptDS Lecture 2.ppt
DS Lecture 2.ppt
 
Dbms 14: Relational Calculus
Dbms 14: Relational CalculusDbms 14: Relational Calculus
Dbms 14: Relational Calculus
 
dm-logic.pdf
dm-logic.pdfdm-logic.pdf
dm-logic.pdf
 
UNIT-III-PPT.pptx
UNIT-III-PPT.pptxUNIT-III-PPT.pptx
UNIT-III-PPT.pptx
 
Inductive reasoning & logic
Inductive reasoning & logicInductive reasoning & logic
Inductive reasoning & logic
 
Discrete structures & optimization unit 1
Discrete structures & optimization unit 1Discrete structures & optimization unit 1
Discrete structures & optimization unit 1
 
Discrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.pptDiscrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.ppt
 
Chapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and ProofsChapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and Proofs
 

Mais de Eli Lilly and Company (15)

Slide subtopic 5
Slide subtopic 5Slide subtopic 5
Slide subtopic 5
 
Chapter 1
Chapter 1Chapter 1
Chapter 1
 
Chapter 3
Chapter 3Chapter 3
Chapter 3
 
Chapter 1
Chapter 1Chapter 1
Chapter 1
 
Chapter 5
Chapter 5Chapter 5
Chapter 5
 
Akses dan ekuiti
Akses dan ekuitiAkses dan ekuiti
Akses dan ekuiti
 
Isu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematikIsu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematik
 
kurikulum dan kelainan upaya
kurikulum dan kelainan upayakurikulum dan kelainan upaya
kurikulum dan kelainan upaya
 
jantina dan bangsa
jantina dan bangsajantina dan bangsa
jantina dan bangsa
 
jantina dan bangsa
jantina dan bangsajantina dan bangsa
jantina dan bangsa
 
Jantina dan bangsa
Jantina dan bangsaJantina dan bangsa
Jantina dan bangsa
 
ISU JANTINA
ISU JANTINAISU JANTINA
ISU JANTINA
 
Qayyum
QayyumQayyum
Qayyum
 
Trend kurikulum
Trend kurikulumTrend kurikulum
Trend kurikulum
 
Isu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematikIsu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematik
 

Último

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 

Último (20)

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 

Slide subtopic 4

  • 1. UNIVERSITI PENDIDKAN SULTAN IDRIS PREPARED BY : MOHAMAD AL FAIZ BIN SELAMAT
  • 2.
  • 3. Tautology: A proposition that is always true for all possible value of its propositional variables. Example of a Tautology The compound proposition p ˅¬p is a tautology because it is always true. P ¬p p ˅ ¬p T F T F T T
  • 4.
  • 5. P ¬p p ˅ ¬p T F F F T F
  • 6.
  • 7. A contingency table is a table of counts. A two-dimensional contingency table is formed by classifying subjects by two variables. One variable determines the row categories; the other variable defines the column categories. The combinations of row and column categories are called cells. Examples include classifying subjects by sex (male/female) and smoking status (current/former/never) or by "type of prenatal care" and "whether the birth required a neonatal ICU" (yes/no). For the 1. mathematician, a two-dimensional contingency table with r rows and c columns is the set {xi j: i =1... r; j=1... c}.
  • 8.
  • 9. : , Definition: An argument is a sequence of propositions written The symbol ∴ is read “therefore.” The propositions, ,… are called the hypotheses (or premises) or the proposition q is called the conclusion. The argument is valid provide that if the proposition are all true, then q must also be true; otherwise, the argument is invalid (or a fallacy).
  • 10.
  • 11. p→q Determine whether the argument p ∴q Is valid [First solution] We construct a truth table for all the propositions involved. P q p→q p q T T T T T T F F T F F T T F T F F T F F
  • 12.
  • 13. Rule of inference Name p→q Modus ponens p ∴q p→q Modus tollens ⌐q ∴ ⌐p Addition p ∴p˅q Simplification p˅q ∴p p Conjunction q ∴p˅q p→q Hypothetical syllogism q→r ∴p→r p˅q Disjunctive syllogism ⌐p ∴q
  • 14.
  • 15. Represent the argument. The bug is either in module 17 or in module 81 The bug is a numerical error Module 81 has no numerical error ___________________________________________ ∴ the bug is in module 17. Given the beginning of this section symbolically and show that it is valid. If we let p : the bug is in module 17. q : the bug is in module 81. r : the bug is numerical error.
  • 16.
  • 17. The argument maybe written pVq r r → ⌐q ∴p From r → ⌐q and r, we may use modus ponens to conclude ⌐q. From r V q and ⌐q, we may use the disjunctive syllogism to conclude p. Thus the conclusion p follows from the hypotheses and the argument is valid.
  • 18.
  • 19. This method is based on Modus Ponens, [(p ⇒ q) ˄ p ] ⇒ q Virtually all mathematical theorems are composed of implication of the type, ( The are called the hypothesis or premise, and q is called conclusion. To prove a theorem means to show the implication is a tautology. If all the are true, the q must be also true.
  • 20.
  • 21. Solution: Let p: x is odd, and q: x2 is odd. We want to prove p → q. Start: p: x is odd → x = 2n + 1 for some integer n → x2 = (2n + 1)2 → x2 = 4n2 + 4n + 1 → x2 = 2(2n2 + 2n) + 1 → x2 = 2m + 1, where m = (2n2 + 2n) is an integer → x2 is odd → q
  • 22.
  • 23. Definition: An indirect proof uses rules of inference on the negation of the conclusion and on some of the premises to derive the negation of a premise. This result is called a contradiction.  Contradiction: to prove a conditional proposition p ⇒ q by contradiction, we first assume that the hypothesis p is true and the conclusion is false (p˄ ~ q). We then use the steps from the proof of ~q ⇒ ~p to show that ~p is true. This leads to a contradiction (p˄ ~ p), which complete the proof.
  • 24.
  • 25. Proof: Assume that x is even (negation of conclusion). Say x = 2n (definition of even). Then = (substitution) = 2n · 2n (definition of exponentiation) = 2 · 2n2 (commutatively of multiplication.) Which is an even number (definition of even) This contradicts the premise that is odd.