This document provides an overview of logic and arguments. It discusses the components of arguments, including premises and conclusions. It also discusses the validity and invalidity of arguments, which can be determined using truth tables. The document goes on to explain how to construct truth tables based on the number of statements, and provides examples of truth tables involving conjunction, disjunction, and conditionals. It concludes by summarizing when arguments are considered true for different logical connectives.
Propositional Logic
CMSC 56 | Discrete Mathematical Structure for Computer Science
August 17, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
A truth table is a mathematical table utilized in logic - more specifically—specifically in relation with Boolean algebra, boolean functions, and propositional calculus.
Propositional Logic
CMSC 56 | Discrete Mathematical Structure for Computer Science
August 17, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
A truth table is a mathematical table utilized in logic - more specifically—specifically in relation with Boolean algebra, boolean functions, and propositional calculus.
it is the first Homework.
it is about..
1-)The Foundations: Logic and Proofs
2-)Basic Structures: Sets, Functions, Sequences, Sums, and Matrices
3-)Number Theory and Cryptography
4-)Induction and Recursion
Based from the book : "Logic Made Simple for Filipinos" by Florentino Timbreza here is the summary made into powerpoint of Lesson 12: The Categorical Syllogism.
It Includes:
Introduction to categorical syllogism
General Axioms of the Syllogism
Eight Syllogistic Rules
Figures and Moods of the Categorical Syllogism
Examples in these slides are our own, there were no examples derived from the book.
Course Code: CS-301
Course Title: Introduction to Computing
Degree: BS(SE, CS, BIO)
Chapter Contents:
1. Identify the components of the central processing unit and how they work together and interact with memory
2. Describe how program instructions are executed by the computer
3. Explain how data is represented in the computer
4. Describe how the computer finds instructions and data
5. Describe the components of a microcomputer system unit’s motherboard
6. List the measures of computer processing speed and explain the approaches that increase speed
This book is written by LOIBANGUTI, BM, it is just an online copy provided for free. No part of this book mya be republished. but can be used and stored as a softcopy book, can be shared accordingly.
Daniel Hampikian's Power point on arguments and moral skepticism - danielhamp...Daniel Hampikian
Dr. Daniel Hampikian's critical thinking and ethics power point on moral skepticism, logical validity, arguments, logic, morality, evidence, induction, deduction, and much more...
danielhampikian
Understanding arguments, reasoning and hypothesesMaria Rosala
As researchers working in government, influencing service design, we need to know that our research is methodologically sound, our research findings are grounded in empirical data and our recommendations are logically derived.
'Understanding arguments, reasoning and hypotheses' is the first in a series of 5 short courses, covering introduction courses to various aspects of methodology in research, from the use of grounded theory in discovery research, to hypothesis testing and sampling in more experimental research.
In this course, you'll learn:
About arguments
- what we mean by an argument
- how to identify a valid/invalid argument
- what we mean by premises
- what validity and soundness of arguments mean
About reasoning
- what is deductive reasoning and where do we use it
- what is inductive reasoning and where do we use it
- what is abductive reasoning and where do we use it
About hypotheses
- what is a hypotheses and a null hypothesis
- how do we test them
8DEDUCTIVE How is the professor using logical argument.docxevonnehoggarth79783
8
DEDUCTIVE
How is the professor using logical argumentation
in coming up with mathematical proofs?
How can learning about deductive logic,
such as arguments based on mathematics,
help us make better-informed decisions?
237
WHAT’S TO COME
239 | What Is a Deductive Argument?
241 | Types of Deductive Arguments
247 | Hypothetical Syllogisms
252 | Categorical Syllogisms
257 | Translating Ordinary Arguments
into Standard Form
261 | Critical Thinking Issue: Perspectives
on the Death Penalty
I
n Sir Arthur Conan Doyle’s mystery
story “Silver Blaze,” detective Sherlock
Holmes uses his extraordinary pow-
ers of deductive logic to solve the
mystery of the disappearance of racehorse
Silver Blaze and the murder of the horse’s
trainer, John Straker. His head shattered by
a savage blow, Straker’s body was found a
quarter mile from the King’s Pyland stables
where Silver Blaze was kept. A search is
carried out of the surrounding moors and
of the neighboring Mapleton stables for the
horse.
After interviewing everyone who might
have been involved and collecting all the
facts, Holmes concludes that Silver Blaze is
still alive and hidden in the Mapleton stables,
ARGUMENTS
even though the earlier search of the stables had failed to turn up the missing
horse.
“It’s this way, Watson,” [says Holmes]. “Now, supposing that
[Silver Blaze] broke away during or after the tragedy, where could
he have gone to? The horse is a very gregarious creature. If left to
himself his instincts would have been either to return to King’s Pyland
or go over to Mapleton. Why would he run wild upon the moor? He
surely should have been seen by now . . . He must have gone to
King’s Pyland or to Mapleton. He is not at King’s Pyland. Therefore,
he is at Mapleton.”1
As it turns out, Holmes’s deduction is right. The missing racehorse is at
Mapleton, the silver blaze on its nose covered over to disguise its appearance.
Sherlock Holmes also solves the “murder” of the horse’s trainer through
deductive logic. He learns from the stable hand that the guard dog did not bark
when Silver Blaze was “stolen” from the stables. Therefore, Holmes concludes,
the person who took Silver Blaze must have been familiar to the dog. This elimi-
nated suspects who were strangers. Holmes then eliminates, one by one, the other
suspects, leaving only the horse. As Holmes stated in another story: “When you have elimi-
nated the impossible, whatever remains, however improbable, must be the truth.”2 He concludes that
the horse must have accidentally killed its trainer when Straker, who was something of a scoundrel,
used a surgical knife found in his possession to nick the tendons of Silver Blaze’s ham so the horse
would develop a slight limp and lose the upcoming race. Holmes explains, “Once in the hollow,
[Straker] had got behind the horse and had struck a light; but the creature, frightened at the sudden
glare, and with the strang.
Deductive Argument
For a deductive argument, if all its premises are true, its conclusion is necessarily true (or it is logically impossible for the conclusion to be false.)
I.e., the truth of premises guarantees the truth of conclusion.
Example
Either you work hard or you will fail the test.
You do not work hard.
Therefore, you will fail the test.
3 Types of Possibility
Technological possibility:
e.g.
Going to the moon is technological possible, but going to Mercury is not.
Physical possibility:
e.g.
Going to Mercury is physical possible, but making water boil at 95 C under one atmospheric pressure is not.
Logical possibility:
e.g.
Making water boil at 95 C under one atmospheric pressure is logical possible, but drawing a triangle with 4 angles is not.
When we talk about deductive arguments, we have already presupposed that the arguments are successful or valid deductive arguments.
The conclusion of a valid argument is called a valid conclusion.
For an unsuccessful deductive argument (the premises are intended to guarantee the conclusion but fail to do so), we call it an invalid argument.
A deductive argument may be valid or invalid, there is nothing in between.
Whether a deductive argument is valid or invalid depends on its form or structure, not on its content.
The above argument is valid because it has this valid form:
p or q.
Not-p.
Therefore, q.
p and q are statement variables.
A valid argument may have false conclusion if it has false premises.
Example:
CY Leung is either a genius or an idiot.
He is not an idiot.
Therefore, He is a genius.
In order to guarantee the truth of conclusion, we have to make sure all the premises are true.
When all the premises of a valid argument are true, the argument is called a “sound argument”.
And the conclusion of a sound argument is called a sound conclusion.
If an argument is invalid or has false premises, it is unsound.
On the other hand, the fact that an argument is invalid does not entail that its conclusion is false.
• It just means that its conclusion does not follow from its premises.
• You can consider a valid argument structure as a truth-keeping machine:
• When you input T information into it, it will output T information.
• When you input F information into it, it will output T or F information
Inductive Argument:
A typical example of inductive argument:
Swan1 is white.
Swan2 is white.
Swan3 is white.
…
Swann is white.
________________
All swans are white.
Another typical example:
An event of type B follows an event of type A at time t1.
An event of type B follows an event of type A at time t2.
…
An event of type B follows an event of type A at time tn.
___________________________
A causes B.
Many people think that the characteristic of inductive arguments is arguing from particular to general.
However, deductive arguments may also argue from particular to general.
Example:
I have two cats, Fluffy and Garfield.
Fluffy does not eat fish.
Garfield does not eat fish either.
Therefore, All of m
Deductive ArgumentsPhil 105, Ben BirkenstockWhat is LinaCovington707
Deductive Arguments
Phil 105, Ben Birkenstock
What is a philosophical argument?
A set of statements given to rationally show a certain conclusion to be true, or
likely to be true; A set of declarative statements, or propositions, which are claims
about how the world is, isn’t or might be, that can be true or false, to show another
statement to be (likely to be) true or false.
- A statement is a (true or false) description of how the world is
- The premises are the statements in an argument that present reasons to
believe the conclusion
- The conclusion is the statement that the argument is trying to support
What is a philosophical argument?
E.g.:
Premise 1: All humans are mortal. (All A’s = B’s)
Premise 2: Kongzi is human; (C = A)
Conclusion: Therefore, Kongzi is mortal. (C = B)
Arguments - Basics
- Can be either sound or unsound, that is they can either provide
good reasons to believe the conclusion is true, or not.
- Two factors to an argument: are premises true, and if true, do
they support the conclusion?
- In other words, in order to be sound, an argument needs:
- 1. A good structure
- 2. True premises.
Arguments - Basics
A successful argument is NOT true, or valid: it is SOUND
- A premise or conclusion (a statement) is true or false
- An argument structure is valid or invalid
- Evidence is strong or weak
- An argument is sound or unsound
Arguments - Basics
Every time we encounter someone giving reasons to believe something , they are
making an argument
- The ability to analyze the assumptions we find in and around ourselves,
- & the ability to discern how it is that assumptions are presented to us as true,
and for us to be able to arrive at true conclusions
- We are doing philosophy all the time!
Watchwords: ‘because, either, if, since, all, none, always, never, often’
When you hear these, someone is probably making an argument!
Arguments - Structure
The structure of an argument is the organization of its premises so
that they relate to each other in a way that supports (or fails to
support) the conclusion.
- If an argument is not structured well, it may have true premises
that do not provide any evidence for the conclusion:
P1. All humans are mortal;
P2. Kongzi is mortal,
C. Therefore, Kongzi is human. (Sound or unsound?)
Arguments - Structure
Two broad types of argument structures: Inductive and deductive
- Deductive arguments aim at validity: they try to be valid in their structure;
try to convince us that their conclusion is certain, is true.
- does not provide new info beyond what is described in the premises
- Inductive arguments aims at coherence: they try to convince us that their
conclusion is probable.
- gives us new information, the premises provide reasons to believe something about the
world that they don’t already tell us. I.e., the conclusion goes beyond the premises
Deductive Arguments - Validity
D ...
Unit 1 topic 2 deductive_vs_induction.pptkeshavpahwa3
It is a document on deductive vs induxtive reasoning. it provides an indepth analysis of both the types of reasoning and difference between them so as to understand them in a better manner.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
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Truth tables presentation
1.
2. MAIN TOPICS TO BE COVERED…
• OVERVIEW
( INCLUDED ARE ARGUMENTS & THEIR VALIDITY AND INVALIDITY )
• TRUTH TABLES???
• CONSTRUCTING A TRUTH TABLE
• VARIOUS FORM OF TRUTH TABLES
• CONCLUSION
• QUESTION/ANSWER SESSION
3. ARGUMENTS
In logic and philosophy, an is an attempt to persuade
someone of something, by giving reasons for accepting a
particular conclusion as evident.
An argument can also be defined as a set of statements, of which
one is being supported by others.
The statement being supported is called .
And the statements which support are called .
5. VALIDITY AND INVALIDITY OF ARGUMENTS…
Arguments can be either valid or invalid,
depending upon whether the premises lead to a
reasonable conclusion or not.
In case if the premises lead to a reasonable
conclusion, the argument can be termed as valid.
On the contrary, if the premises fail to lead to a
reasonable conclusion, the argument can be termed
as invalid.
Whether an argument is valid or not can be
determined with the help of truth tables…
6. VALIDITY AND INVALIDITY OF ARGUMENTS…
Here is given an example of an invalid argument;
All humans are mortals.
Socrates is a mortal.
Therefore Socrates is a human.
The premises, in the given argument, do not lead to the
conclusion as not necessarily all the mortals are humans.
In fact every being is subject to mortality. For Socrates
being mortal does not lead to the conclusion that he
must be human. He can be a different entity too.
7. TRUTH TABLES
A truth table is a rule that helps you analyze statements or
arguments in order to verify whether or not they are logical, or true.
a truth table is composed of one column for each input variable
(for example, P and Q), and one final column for all of the possible
results of the logical operation that the table is meant to represent.
For example: below is demonstrated a truth table for the negation of
a statement.
TRUE FALSE
FALSE TRUE
P ~P
8. CONSTRUCTION OF TRUTH TABLES…
• According to the principle of bi-valence the truth value of every
statement is either ‘true’ or ‘false’ and in every situation a
statement has only one of it.
• the number of rows in a truth table is determined by the
formula 2n
• ‘n’ equals the number of statements on which the argument
operates(for ‘n’ equaling 2, the number of rows is 4).
• Statements are denoted by sentence letters and each sentence
letter heads a column in which the possible truth values of that
statement are mentioned.
9. CONSTRUCTION OF TRUTH TABLES…
• Supposing an argument based on 2 statements, the possible
situations of the truth value is 4(hence 4 rows).
• Now, in the first column the initial 2 rows contain the truth value
as TRUE and the rest FALSE.
• However, in the second column the truth values are listed as
simultaneously changing, starting from TRUE, then FALSE and so
on.
TRUE TRUE TRUE
TRUE FALSE TRUE
FALSE FALSE TRUE
FALSE FALSE FALSE
P Q PVQ
10. TRUTH TABLES INVOLVING CONJUNCTION…
He must be deaf and dumb.
he may be both deaf and dumb.
he may be deaf, but not dumb.
he may no be deaf, but dumb.
he may not be either deaf or dumb.
TRUE TRUE
TRUE FALSE
FALSE TRUE
FALSE FALSE
TRUE
FALSE
FALSE
FALSE
11. TRUTH TABLES INVOLVING DISJUNCTION…
He must be an IT expert or have bachelors in C.S.
he may be both an expert and C.S bachelor.
he may be an expert not C.S bachelor.
he may not be an expert, but a C.S bachelor.
he may not be an expert or C.S bachelor.
TRUE TRUE
TRUE FALSE
FALSE TRUE
FALSE FALSE
TRUE
TRUE
TRUE
FALSE
In logic, we
consider an
inclusive
sense of
disjunction.
12. TRUTH TABLES INVOLVING CONDITIONAL…
• If Harry is at the beach, then he is swimming.
• If Harry is at the beach, then he is not swimming.
• If Harry is not at the beach, then he is swimming.
• If Harry is not at the beach, then he is not swimming.
TRUE TRUE
TRUE FALSE
FALSE TRUE
FALSE FALSE
TRUE
FALSE
TRUE
TRUE
13. CONCLUSION…
• Arguments involving conjunction are true only if both the statements
are true.
• Arguments involving disjunction are true if both the premises are
true and if one statement is true.
• Arguments involving conditional are true if both the statements are
true or only a single statement is true.