SlideShare a Scribd company logo
1 of 12
Download to read offline
PHIL 201:
Introduction to Symbolic Logic

Spring 2009

Instructor Information
Instructor:

Alex Morgan

Office:

Room 011, Davison Hall,
Douglass Campus

Office Hours:

M 6.00-7.30pm, Scott Hall (locn. TBA)

Email:

amorgan@philosophy.rutgers.edu

Phone:

(732) 932 9861, ext.172

Internet:

http://eden.rutgers.edu/~amorgo/

Textbook
Hardegree, G. ‘Symbolic Logic, A First Course’ (2nd Edition)

•

Available online here:
www-unix.oit.umass.edu/~gmhwww/110/text.htm

•
•
•

Also available as hardcopy from bookstores like Amazon
I will be referring to the online version
Known typos are listed on Hardegree’s website
Course Website
www.rci.rutgers.edu/~amorgo/teaching/09s_201/

•
•

Provides downloads, including the syllabus and these course notes

•

Allows you to ask questions about the homework (see the site for
instructions, or contact me)

•

Regularly updated throughout the semester, so check often!

Provides news and information, including information about the
homework and exams

Assessment
Homework (20%)

•

A total of 10 bi-weekly homework assignments based on the exercises
in the textbook, each worth 2%. Collected at the end of the Monday
class. The main point of the homework is to demonstrate that you’re
actively working through the material.

Exams (80%)

•

Two exams, a mid-term and a final, each worth 40%. They’ll be held
around March 4 and May 4, respectively. I’ll provide more information
about the exams later.

What to Expect
•

This course is very different from most other courses in philosophy
(and the humanities generally)

•

We’ll be learning how to use an artificial symbolic language, similar to
mathematical ‘languages’ like algebra

•

The emphasis will be on...

‣ skills rather than facts and ideas,
‣ rigor and precision rather than creativity and interpretation (at least in
these early stages)
What to Expect
•

If you enjoy programming, logic puzzles, Sudoku, etc., then you will
probably take to this material quickly, and may even find it fun!

•
•

If not, you should be prepared to put in some extra work

•

However, some students have difficulty with the kind of abstract, rulebased thinking required in this course. If this sounds like you (e.g. if
you have difficulty with algebra or computer programming), please
come talk to me after class

Either way, so long you put in the work, you’re almost guaranteed a
good grade

What to Expect
•

Please note that this is not the ‘easy logic course’ that you might’ve
heard about! (that’s 730:101)

•

Here are some grade distributions from previous semesters:
7

5

6
# Students

8

6

# Students

7

4
3
2

5
4
3
2

1

1
0

0
A

B+

B

C+

C

D

F

A

B+

B

C+

C

D

F

Grade

Grade

Advice
•

The material we’re covering might seem easy to begin with, but it
quickly gets much harder. If you get behind it will be very difficult for
you to catch up

•

The course is more about learning skills than learning facts, so it is
crucial that you do lots and LOTS of practice using the exercises in
the textbook

•

If you find yourself struggling with the course, please come see me
after class or during office hours
Why Learn Logic?
•

Symbolic logic will help you to be a better reasoner; it will provide you with a
set of tools for analyzing arguments and determining whether they’re any good

‣ Note that the emphasis of the course is not on practical reasoning; if that’s
your main interest, take 730:101

•

Some understanding of logic is presupposed in virtually all areas of
contemporary philosophy. Logic is used to analyze complex arguments, and
underlies philosophical theories of meaning, truth and thought

•
•

Logic is used in linguistics to understand syntax and semantics
Logic provides the conceptual foundations of computer science, and is studied in
its own right as a branch of pure math (heard of Goedel’s incompleteness
theorems?)

What is Logic?
•
•

Logic is the study of the principles of ‘good’ or ‘correct’ reasoning

•

Some inferences seem good, while others seem not so good

Reasoning involves making inferences from one set of information
to another set of information

‣ If I see smoke and infer that there is fire, this seems like a good
inference

‣ If I see smoke and infer that the moon is made of cheese, this
doesn’t seem like a good inference

What is Logic?
•

Systems of logic were studied in Ancient
Greece, China and India

•

In Ancient Greece, Aristotle developed a
system of logic that was based on the
analysis of certain kinds of inferences called
syllogisms (more on these later)

•

Aristotle's system became the basis of
Wester logic for almost 2,000 years
What is Symbolic Logic?
•

In the late 1800s, logicians broke from the Aristotelian
tradition and attempted bring the rigor and precision of
mathematics to bear on logic

•

They attempted to study logical inference using formal,
axiomatic languages

•

This provided a more precise way of analyzing logical
inferences by avoiding the ambiguity of natural languages
like English

•

The main figure in the development of symbolic logic
was a German logician named Gottlob Frege

What is Logic?
•

Recall that logic in general is the study of good inferences. In formal
logic, we focus on a particular kind of inference, called an argument

•

An argument means many things in ordinary language, but for us it will
mean something quite specific:

‣ An argument is a collection of statements, one of which is the
conclusion, and the remainder of which are the premises,
where the premises are intended to ‘support’ or justify the
conclusion

What is an Argument?
Statements
•
•

Recall that an argument is a set of statements

•

Different kinds of sentences:

A statement is a declarative sentence, i.e. a sentence that is
capable of being true or false
We’re interested in these!

‣ Declarative

“The window is shut”

‣ Interrogative

“Is the window shut?”

‣ Imperative

“Shut the window!”

Statements
•

Which of the following are declarative sentences?

‣ Shut the door
‣ It is raining
‣ Are you hungry?
‣ 2+2=4
‣ I am the King of France
Note that whether or not a sentence is declarative doesn’t depend on whether
the sentence is in fact true, but whether it expresses something that could be true

Statements vs. Propositions
•

A statement (i.e. a declarative sentence) is said to express a
proposition. You can think of a proposition as (roughly) the
meaning of a statement

•

While a statement is something concrete (e.g. a symbol or a soundwave), a proposition is abstract
Statements vs. Propositions
•

The distinction is similar to the distinction between mathematical
expressions and the numbers they stand for:

‣ ‘4’ and ‘2+2’ and are different mathematical expressions for the
same number, namely 4

‣ Similarly, ‘snow is white’ and ‘der Schnee ist weiss’ are different

statements that express the same proposition, namely that snow is
white

•

The distinction is important, but won’t have much of an impact on
what we do in this course

More on Arguments
• Examples of arguments:

Are these arguments good? Why?

(1). If there is smoke, there is fire
There is smoke
Therefore, there is fire
(2). If there is smoke, there is fire
There is smoke
Therefore, I am the King of France

PREMISES
CONCLUSION
PREMISES
CONCLUSION

More on Arguments
(1). If there is smoke, there is fire
There is smoke
Therefore, there is fire

(2). If there is smoke, there is fire

This seems like a good
argument because the
conclusion in some sense follows
from the premises

This seems like a bad argument

There is smoke

because the conclusion has

Therefore, I am the King of France

nothing to do with the premises!
Validity
•
•

How can we make this notion of ‘following from’ more precise?
With the notion of validity:

‣ To say that an argument is valid means that it is impossible for the
conclusion of the argument to be false if the premises are true

•

Validity has to do with the structure, or form, of the argument, and is
independent of whether the premises of the argument are in fact true

•

An argument that is valid and has true premises is called sound

Validity
• More examples of arguments:

Assume that the premises are true;
can the conclusion be false?

(3). All cats are dogs

NO!
The argument is valid

All dogs are reptiles
Therefore, all cats are reptiles
(4). All cats are vertebrates

YES!
The argument is invalid

All mammals are vertebrates
Therefore, all cats are mammals

Validity
T

F

All dogs are reptiles

T

Therefore, all cats are reptiles

T

F

•

If the premises were true, the
conclusion would have to be
true, so the argument is
valid.

•

However, the premises are in
fact false, so the argument is
not sound

•

In terms of its form, the
argument is ‘good’, but in
terms of its content the
argument is not

F

(3). All cats are dogs

cats
dogs
reptiles
Validity
All mammals are vertebrates

F

Even though the premises
are true, the conclusion
could still be false, so the
argument is not valid

•

Even though it has all true
premises, it is not valid, so it
is automatically not sound
In terms of its content, the
argument is ‘good’, but in
terms of its form, the
argument is not

T T

Therefore, all cats are mammals

•

•

T T

(4). All cats are vertebrates

cats

mammals

T

vertebrates

Validity
•

Comprehension questions:

‣ Can a valid argument have a false conclusion? Yes
‣ Can a valid argument with true premises have a false conclusion? No
‣ Can anyone give an example of a valid argument with true premises?

•

Example:
(5). All cats are mammals
All mammals are vertebrates

(premise 1)

T

(premise 2)

T

Therefore, all cats are vertebrates (conclusion)

T

Why is this
valid? Why
sound?

Validity and Logical Form
•

We saw that arguments (3) and (5) are both valid, and that validity has to
do with form. In fact, (3) and (5) have the same form:
(3). All cats are dogs
All dogs are reptiles
Therefore, all cats are reptiles

All X are Y
All Y are Z

(5). All cats are mammals
All mammals are vertebrates
Therefore, all cats are vertebrates

Therefore, all X are Z
Validity and Logical Form
•

On the other hand, (4) has a different form:
All X are Y

(4). All cats are vertebrates
All mammals are vertebrates

All Z are Y

Therefore, all cats are mammals

Therefore, all X are Z

•

If an argument is valid, then any argument with the same form is also
valid

•

If an argument is invalid, then any argument with the same form is also
invalid

Validity and Logical Form
•

On the other hand, (4) has a different form:
(4). All cats are vertebrates

All X are Y

All mammals are vertebrates

All Z are Y

Therefore, all cats are mammals

Therefore, all X are Z

Note that in the textbook,
statements like these are called
concrete sentences...

...and these are called sentence
forms. Sentence forms don’t express
a particular proposition

Deductive vs. Inductive Logic
•

The kind of logic that we study in this class is concerned with
arguments in which the premises are supposed to logically guarantee
the conclusion -- if the premises are true, the conclusion has to be
true. This is called deductive logic

•

There is another kind of logic that is concerned with arguments in
which the premises are supposed to make the conclusion more likely,
but not necessarily certain. This is called inductive logic, and is a
much more complicated subject than deductive logic
Deductive vs. Inductive Logic
•

•

Recall argument (1):

Now consider argument (7):

‣ If there is smoke, there is fire

‣ There is smoke

‣ There is smoke

‣ Therefore, there is fire

‣ Therefore, there is fire
This is a deductive argument
because the truth of the premises
logically guarantees the truth of the
conclusion

This is an inductive argument
because the truth of the premise
makes the conclusion more likely,
but doesn’t guarantee it

Syllogisms
•

A syllogism has two premises and a
conclusion

•

The statements that make up a syllogism
contain descriptive terms that refer
to sets of things (e.g. ‘cat’, ‘dog’)

•

The statements also contain logical
terms like ‘all’, ‘some’, ‘none’, which
describe relations between sets of things

(7). Some cats are dogs
All dogs are reptiles
Therefore, all cats are reptiles

dogs

cats

reptiles

Syllogisms
•
•

For example, the first premise in (7)
says that some cats are dogs - in other
words, that some of the things in the
‘cat set’ are in the ‘dog set’

(7). Some cats are dogs
All dogs are reptiles
Therefore, all cats are reptiles

Questions:

‣ Is (7) valid? Sound?
‣ What is the logical form of (7)?

dogs

cats

reptiles
Next Time...
•

Please finish Ch. 1 and make a start on Ch. 2

More Related Content

Viewers also liked

ใบงานที่ 2-8
ใบงานที่ 2-8ใบงานที่ 2-8
ใบงานที่ 2-8
aaun1234
 
M6social2552
M6social2552M6social2552
M6social2552
aaun1234
 
M6health+art+tech2552
M6health+art+tech2552M6health+art+tech2552
M6health+art+tech2552
aaun1234
 
Teorías de la administración
Teorías de la administración Teorías de la administración
Teorías de la administración
SofyaOro18
 
1117羅世威傳道 非捨不可的門徒
1117羅世威傳道 非捨不可的門徒1117羅世威傳道 非捨不可的門徒
1117羅世威傳道 非捨不可的門徒
萬隆基督的教會
 
M6thai2552
M6thai2552M6thai2552
M6thai2552
aaun1234
 
Vicios y barreras delacomunicacion equipo 4
Vicios y barreras delacomunicacion equipo 4Vicios y barreras delacomunicacion equipo 4
Vicios y barreras delacomunicacion equipo 4
Barbara Ontiveros
 

Viewers also liked (20)

The Gospel in a Tweet by Caloy Dino
The Gospel in a Tweet by Caloy DinoThe Gospel in a Tweet by Caloy Dino
The Gospel in a Tweet by Caloy Dino
 
Presentación in cloud y arteñe inglés
Presentación in cloud y arteñe inglésPresentación in cloud y arteñe inglés
Presentación in cloud y arteñe inglés
 
ใบงานที่ 2-8
ใบงานที่ 2-8ใบงานที่ 2-8
ใบงานที่ 2-8
 
M6social2552
M6social2552M6social2552
M6social2552
 
M6health+art+tech2552
M6health+art+tech2552M6health+art+tech2552
M6health+art+tech2552
 
Tarea de gabot
Tarea de gabotTarea de gabot
Tarea de gabot
 
Teorías de la administración
Teorías de la administración Teorías de la administración
Teorías de la administración
 
Napalm final.
Napalm final.Napalm final.
Napalm final.
 
Grupos de google
Grupos de googleGrupos de google
Grupos de google
 
Propane gas
Propane gasPropane gas
Propane gas
 
Entrevista
EntrevistaEntrevista
Entrevista
 
El jorobado de notre dame
El jorobado de notre dameEl jorobado de notre dame
El jorobado de notre dame
 
1117羅世威傳道 非捨不可的門徒
1117羅世威傳道 非捨不可的門徒1117羅世威傳道 非捨不可的門徒
1117羅世威傳道 非捨不可的門徒
 
ICCE Workshop GO-LAB weSPOT
ICCE Workshop GO-LAB weSPOTICCE Workshop GO-LAB weSPOT
ICCE Workshop GO-LAB weSPOT
 
Formalising the landscape approach: A case study from Cameroon
Formalising the landscape approach:  A case study from CameroonFormalising the landscape approach:  A case study from Cameroon
Formalising the landscape approach: A case study from Cameroon
 
Ills of New Media by Ms. Maloi Salumbides
Ills of New Media by Ms. Maloi SalumbidesIlls of New Media by Ms. Maloi Salumbides
Ills of New Media by Ms. Maloi Salumbides
 
M6thai2552
M6thai2552M6thai2552
M6thai2552
 
Vicios y barreras delacomunicacion equipo 4
Vicios y barreras delacomunicacion equipo 4Vicios y barreras delacomunicacion equipo 4
Vicios y barreras delacomunicacion equipo 4
 
Matriz jacobiana
Matriz jacobianaMatriz jacobiana
Matriz jacobiana
 
Candidiasis2
Candidiasis2Candidiasis2
Candidiasis2
 

Similar to Geography Lecture

How to for sixth grade
How to for sixth gradeHow to for sixth grade
How to for sixth grade
Robin Seamon
 
Paragraph and essay structure
Paragraph and essay structureParagraph and essay structure
Paragraph and essay structure
pernak
 
ArgumentsA. Arguments are found in many texts and media .docx
ArgumentsA.   Arguments are found in many texts and media .docxArgumentsA.   Arguments are found in many texts and media .docx
ArgumentsA. Arguments are found in many texts and media .docx
jewisonantone
 
PowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptx
PowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptxPowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptx
PowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptx
UsamaHassan88
 
1stQ_3opinion_truth_2.pptx
1stQ_3opinion_truth_2.pptx1stQ_3opinion_truth_2.pptx
1stQ_3opinion_truth_2.pptx
haydee388321
 

Similar to Geography Lecture (20)

How to for sixth grade
How to for sixth gradeHow to for sixth grade
How to for sixth grade
 
Rachel and Brother0926.pptx
Rachel and  Brother0926.pptxRachel and  Brother0926.pptx
Rachel and Brother0926.pptx
 
Paragraph and essay structure
Paragraph and essay structureParagraph and essay structure
Paragraph and essay structure
 
ARA Presentation 2015: Stop Reading Fast
ARA Presentation 2015:  Stop Reading FastARA Presentation 2015:  Stop Reading Fast
ARA Presentation 2015: Stop Reading Fast
 
Fuzzy mathematics:An application oriented introduction
Fuzzy mathematics:An application oriented introductionFuzzy mathematics:An application oriented introduction
Fuzzy mathematics:An application oriented introduction
 
Intro to Logic lecture 1
Intro to Logic lecture 1Intro to Logic lecture 1
Intro to Logic lecture 1
 
Discourse
Discourse Discourse
Discourse
 
Minimalism
MinimalismMinimalism
Minimalism
 
- Logic - Module 1B - Logic and Propositions course lactur .pdf
- Logic - Module 1B - Logic and Propositions course lactur .pdf- Logic - Module 1B - Logic and Propositions course lactur .pdf
- Logic - Module 1B - Logic and Propositions course lactur .pdf
 
METHODS OF PHILOSOPHIZING.pdf
METHODS OF PHILOSOPHIZING.pdfMETHODS OF PHILOSOPHIZING.pdf
METHODS OF PHILOSOPHIZING.pdf
 
Thesis Slideshow Game
Thesis Slideshow GameThesis Slideshow Game
Thesis Slideshow Game
 
Ewrt 211 class 3
Ewrt 211 class 3Ewrt 211 class 3
Ewrt 211 class 3
 
Minimalism
MinimalismMinimalism
Minimalism
 
ArgumentsA. Arguments are found in many texts and media .docx
ArgumentsA.   Arguments are found in many texts and media .docxArgumentsA.   Arguments are found in many texts and media .docx
ArgumentsA. Arguments are found in many texts and media .docx
 
Ewrt 211 class 3
Ewrt 211 class 3Ewrt 211 class 3
Ewrt 211 class 3
 
PowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptx
PowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptxPowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptx
PowerPoint Textbook. Parts of an argument recognizing arguments-1-1-1-1.pptx
 
Ewrt 211 class 3
Ewrt 211 class 3Ewrt 211 class 3
Ewrt 211 class 3
 
1stQ_3opinion_truth_2.pptx
1stQ_3opinion_truth_2.pptx1stQ_3opinion_truth_2.pptx
1stQ_3opinion_truth_2.pptx
 
Ph speaking ppt
Ph speaking ppt Ph speaking ppt
Ph speaking ppt
 
CTE grammar for ESL Teachers past progressive
CTE grammar for ESL Teachers past progressiveCTE grammar for ESL Teachers past progressive
CTE grammar for ESL Teachers past progressive
 

Recently uploaded

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Recently uploaded (20)

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 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
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
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
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
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
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
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
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
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
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 

Geography Lecture

  • 1. PHIL 201: Introduction to Symbolic Logic Spring 2009 Instructor Information Instructor: Alex Morgan Office: Room 011, Davison Hall, Douglass Campus Office Hours: M 6.00-7.30pm, Scott Hall (locn. TBA) Email: amorgan@philosophy.rutgers.edu Phone: (732) 932 9861, ext.172 Internet: http://eden.rutgers.edu/~amorgo/ Textbook Hardegree, G. ‘Symbolic Logic, A First Course’ (2nd Edition) • Available online here: www-unix.oit.umass.edu/~gmhwww/110/text.htm • • • Also available as hardcopy from bookstores like Amazon I will be referring to the online version Known typos are listed on Hardegree’s website
  • 2. Course Website www.rci.rutgers.edu/~amorgo/teaching/09s_201/ • • Provides downloads, including the syllabus and these course notes • Allows you to ask questions about the homework (see the site for instructions, or contact me) • Regularly updated throughout the semester, so check often! Provides news and information, including information about the homework and exams Assessment Homework (20%) • A total of 10 bi-weekly homework assignments based on the exercises in the textbook, each worth 2%. Collected at the end of the Monday class. The main point of the homework is to demonstrate that you’re actively working through the material. Exams (80%) • Two exams, a mid-term and a final, each worth 40%. They’ll be held around March 4 and May 4, respectively. I’ll provide more information about the exams later. What to Expect • This course is very different from most other courses in philosophy (and the humanities generally) • We’ll be learning how to use an artificial symbolic language, similar to mathematical ‘languages’ like algebra • The emphasis will be on... ‣ skills rather than facts and ideas, ‣ rigor and precision rather than creativity and interpretation (at least in these early stages)
  • 3. What to Expect • If you enjoy programming, logic puzzles, Sudoku, etc., then you will probably take to this material quickly, and may even find it fun! • • If not, you should be prepared to put in some extra work • However, some students have difficulty with the kind of abstract, rulebased thinking required in this course. If this sounds like you (e.g. if you have difficulty with algebra or computer programming), please come talk to me after class Either way, so long you put in the work, you’re almost guaranteed a good grade What to Expect • Please note that this is not the ‘easy logic course’ that you might’ve heard about! (that’s 730:101) • Here are some grade distributions from previous semesters: 7 5 6 # Students 8 6 # Students 7 4 3 2 5 4 3 2 1 1 0 0 A B+ B C+ C D F A B+ B C+ C D F Grade Grade Advice • The material we’re covering might seem easy to begin with, but it quickly gets much harder. If you get behind it will be very difficult for you to catch up • The course is more about learning skills than learning facts, so it is crucial that you do lots and LOTS of practice using the exercises in the textbook • If you find yourself struggling with the course, please come see me after class or during office hours
  • 4. Why Learn Logic? • Symbolic logic will help you to be a better reasoner; it will provide you with a set of tools for analyzing arguments and determining whether they’re any good ‣ Note that the emphasis of the course is not on practical reasoning; if that’s your main interest, take 730:101 • Some understanding of logic is presupposed in virtually all areas of contemporary philosophy. Logic is used to analyze complex arguments, and underlies philosophical theories of meaning, truth and thought • • Logic is used in linguistics to understand syntax and semantics Logic provides the conceptual foundations of computer science, and is studied in its own right as a branch of pure math (heard of Goedel’s incompleteness theorems?) What is Logic? • • Logic is the study of the principles of ‘good’ or ‘correct’ reasoning • Some inferences seem good, while others seem not so good Reasoning involves making inferences from one set of information to another set of information ‣ If I see smoke and infer that there is fire, this seems like a good inference ‣ If I see smoke and infer that the moon is made of cheese, this doesn’t seem like a good inference What is Logic? • Systems of logic were studied in Ancient Greece, China and India • In Ancient Greece, Aristotle developed a system of logic that was based on the analysis of certain kinds of inferences called syllogisms (more on these later) • Aristotle's system became the basis of Wester logic for almost 2,000 years
  • 5. What is Symbolic Logic? • In the late 1800s, logicians broke from the Aristotelian tradition and attempted bring the rigor and precision of mathematics to bear on logic • They attempted to study logical inference using formal, axiomatic languages • This provided a more precise way of analyzing logical inferences by avoiding the ambiguity of natural languages like English • The main figure in the development of symbolic logic was a German logician named Gottlob Frege What is Logic? • Recall that logic in general is the study of good inferences. In formal logic, we focus on a particular kind of inference, called an argument • An argument means many things in ordinary language, but for us it will mean something quite specific: ‣ An argument is a collection of statements, one of which is the conclusion, and the remainder of which are the premises, where the premises are intended to ‘support’ or justify the conclusion What is an Argument?
  • 6. Statements • • Recall that an argument is a set of statements • Different kinds of sentences: A statement is a declarative sentence, i.e. a sentence that is capable of being true or false We’re interested in these! ‣ Declarative “The window is shut” ‣ Interrogative “Is the window shut?” ‣ Imperative “Shut the window!” Statements • Which of the following are declarative sentences? ‣ Shut the door ‣ It is raining ‣ Are you hungry? ‣ 2+2=4 ‣ I am the King of France Note that whether or not a sentence is declarative doesn’t depend on whether the sentence is in fact true, but whether it expresses something that could be true Statements vs. Propositions • A statement (i.e. a declarative sentence) is said to express a proposition. You can think of a proposition as (roughly) the meaning of a statement • While a statement is something concrete (e.g. a symbol or a soundwave), a proposition is abstract
  • 7. Statements vs. Propositions • The distinction is similar to the distinction between mathematical expressions and the numbers they stand for: ‣ ‘4’ and ‘2+2’ and are different mathematical expressions for the same number, namely 4 ‣ Similarly, ‘snow is white’ and ‘der Schnee ist weiss’ are different statements that express the same proposition, namely that snow is white • The distinction is important, but won’t have much of an impact on what we do in this course More on Arguments • Examples of arguments: Are these arguments good? Why? (1). If there is smoke, there is fire There is smoke Therefore, there is fire (2). If there is smoke, there is fire There is smoke Therefore, I am the King of France PREMISES CONCLUSION PREMISES CONCLUSION More on Arguments (1). If there is smoke, there is fire There is smoke Therefore, there is fire (2). If there is smoke, there is fire This seems like a good argument because the conclusion in some sense follows from the premises This seems like a bad argument There is smoke because the conclusion has Therefore, I am the King of France nothing to do with the premises!
  • 8. Validity • • How can we make this notion of ‘following from’ more precise? With the notion of validity: ‣ To say that an argument is valid means that it is impossible for the conclusion of the argument to be false if the premises are true • Validity has to do with the structure, or form, of the argument, and is independent of whether the premises of the argument are in fact true • An argument that is valid and has true premises is called sound Validity • More examples of arguments: Assume that the premises are true; can the conclusion be false? (3). All cats are dogs NO! The argument is valid All dogs are reptiles Therefore, all cats are reptiles (4). All cats are vertebrates YES! The argument is invalid All mammals are vertebrates Therefore, all cats are mammals Validity T F All dogs are reptiles T Therefore, all cats are reptiles T F • If the premises were true, the conclusion would have to be true, so the argument is valid. • However, the premises are in fact false, so the argument is not sound • In terms of its form, the argument is ‘good’, but in terms of its content the argument is not F (3). All cats are dogs cats dogs reptiles
  • 9. Validity All mammals are vertebrates F Even though the premises are true, the conclusion could still be false, so the argument is not valid • Even though it has all true premises, it is not valid, so it is automatically not sound In terms of its content, the argument is ‘good’, but in terms of its form, the argument is not T T Therefore, all cats are mammals • • T T (4). All cats are vertebrates cats mammals T vertebrates Validity • Comprehension questions: ‣ Can a valid argument have a false conclusion? Yes ‣ Can a valid argument with true premises have a false conclusion? No ‣ Can anyone give an example of a valid argument with true premises? • Example: (5). All cats are mammals All mammals are vertebrates (premise 1) T (premise 2) T Therefore, all cats are vertebrates (conclusion) T Why is this valid? Why sound? Validity and Logical Form • We saw that arguments (3) and (5) are both valid, and that validity has to do with form. In fact, (3) and (5) have the same form: (3). All cats are dogs All dogs are reptiles Therefore, all cats are reptiles All X are Y All Y are Z (5). All cats are mammals All mammals are vertebrates Therefore, all cats are vertebrates Therefore, all X are Z
  • 10. Validity and Logical Form • On the other hand, (4) has a different form: All X are Y (4). All cats are vertebrates All mammals are vertebrates All Z are Y Therefore, all cats are mammals Therefore, all X are Z • If an argument is valid, then any argument with the same form is also valid • If an argument is invalid, then any argument with the same form is also invalid Validity and Logical Form • On the other hand, (4) has a different form: (4). All cats are vertebrates All X are Y All mammals are vertebrates All Z are Y Therefore, all cats are mammals Therefore, all X are Z Note that in the textbook, statements like these are called concrete sentences... ...and these are called sentence forms. Sentence forms don’t express a particular proposition Deductive vs. Inductive Logic • The kind of logic that we study in this class is concerned with arguments in which the premises are supposed to logically guarantee the conclusion -- if the premises are true, the conclusion has to be true. This is called deductive logic • There is another kind of logic that is concerned with arguments in which the premises are supposed to make the conclusion more likely, but not necessarily certain. This is called inductive logic, and is a much more complicated subject than deductive logic
  • 11. Deductive vs. Inductive Logic • • Recall argument (1): Now consider argument (7): ‣ If there is smoke, there is fire ‣ There is smoke ‣ There is smoke ‣ Therefore, there is fire ‣ Therefore, there is fire This is a deductive argument because the truth of the premises logically guarantees the truth of the conclusion This is an inductive argument because the truth of the premise makes the conclusion more likely, but doesn’t guarantee it Syllogisms • A syllogism has two premises and a conclusion • The statements that make up a syllogism contain descriptive terms that refer to sets of things (e.g. ‘cat’, ‘dog’) • The statements also contain logical terms like ‘all’, ‘some’, ‘none’, which describe relations between sets of things (7). Some cats are dogs All dogs are reptiles Therefore, all cats are reptiles dogs cats reptiles Syllogisms • • For example, the first premise in (7) says that some cats are dogs - in other words, that some of the things in the ‘cat set’ are in the ‘dog set’ (7). Some cats are dogs All dogs are reptiles Therefore, all cats are reptiles Questions: ‣ Is (7) valid? Sound? ‣ What is the logical form of (7)? dogs cats reptiles
  • 12. Next Time... • Please finish Ch. 1 and make a start on Ch. 2