SlideShare a Scribd company logo
CHAPTER 10
VENN DIAGRAMS
INTRODUCTION
In the nineteenth-century, John Venn developed a technique for determining whether a categorical
syllogism is valid or invalid. Although the method he constructed relied on the modern interpretation of
universal statements, we can easily modify it for use on the older classical view of such statements.
In the present chapter we will begin by explaining the technique as Venn originally developed it.
Then later we will show you how to use it to determine validity on the older classical theory of categorical
syllogisms.
REPRESENTING CATEGORICAL SYLLOGISMS WITH VENN DIAGRAMS
S P
The two overlapping rectangles above should be construed as representing two sets. The one on the
left represents the set consisting in all of the S things there are in the universe; while the one on the right
represents all of the P things there are in the universe.
That part of the S rectangle which overlaps with the P rectangle represents those objects in the
universe that are members of both sets. That portion of the S rectangle that does not overlap with the P
rectangle represents all of the objects in the universe that are S but not P. While that portion of the P
rectangle that does not overlap with the S rectangle represents all of the things in the universe that are P but
not S.
SHADING
If we want to show that nothing is in a certain area we do this by shading that area. So, for example,
if we want to say there are no Ss that are not Ps, we shade the area of the S rectangle that does not overlap the
area of the P rectangle. We represent the claim that all Sare P in this way.
S P
All S are P.
On the other hand, if we want to represent the claim that no Ss are Ps, we can do this by shading the
area where the S rectangle and P rectangle overlap.
S P
No S are P.
Finally, if we want to show that all P are S, or, in other words, there are no Ps that are not also Ss, we
can shade the rightmost part of P.
S P
All P are S.
INDICATING THAT SOMETHING IS IN AN AREA
To show that something is in a certain area we place a capital X in that area. Thus, to say that there
is something that is a member of S, but not a member of P, we place an X in the section of the S rectangle that
does not overlap with the P rectangle.
S P
Some S are not P.
To say that something exists that belongs to both sets we place a capital X in the area where the two
rectangles overlap.
S P
Some S are P.
To represent that something is a member of P, but not of S, we place an X in the area of the P
rectangle that doesn't overlap the S rectangle.
S P
Some P are not S.
Finally, if we know that the S set has something in it, but we don't know whether that thing is or is
not also a member of P, we will place a lower case x in both sets and then connect them with a line. Thus, the
diagram below tells us that there is at least one member of S, but it does not tell us whether that thing is, or is
not, also a member of P.
S P
There are some S.
REPRESENTING CATEGORICAL SYLLOGISMS
So far we have been concerned with representing single statements in Venn diagrams. An argument,
however, is not one statement, and a categorical syllogism is a type of argument. More specifically, a
categorical syllogism is an argument that contains exactly two premises, both of which are categorical
statements. The problem is how do we use Venn diagrams to represent categorical syllogisms? And how do
we use them to decide whether such syllogisms are valid?
Perhaps the first thing to notice is that a categorical syllogism refers to three sets, rather than two.
So, instead of two overlapping rectangles we will need three such rectangles.
EXAMPLE 1
S I
C
All schools are educational institutions.
Some schools are colleges.
________
Some colleges are educational institutions.
To decide whether the argument above is valid or invalid we must begin by representing both of the
premises in the diagram. We represent the first premise by shading the area of schools that are not educational
institutions.
S I
C
All schools are educational institutions.
Some schools are colleges.
________
Some colleges are educational institutions.
Then we need to represent the second premise. This premise tells us that there is at least one school
that is also a college. To express this in the diagram, we need to place an x in those areas where schools and
colleges overlap. The only such area that has not been shaded, however, is the area where the three rectangles
overlap. So we know that something exists in this area. We must, therefore, place a capital X in this area and
our diagram will then look like this:
S I
C
All schools are educational institutions.
Some schools are colleges.
________
Some colleges are educational institutions.
All that remains is to evaluate whether the conclusion of the argument follows from its premises. If
it does the argument is valid; otherwise it is invalid. Clearly the argument in question is valid.
Let's try one more example.
EXAMPLE 2
S I
C
Some schools are educational institutions.
Some schools are colleges.
________
Some colleges are educational institutions.
To represent the first premise of this argument, we need to show that something is in the area of
schools that are educational institutions. In the diagram there are, however, two areas that represent schools
that are educational institutions and, unfortunately, the first premise doesn't tell us whether the schools that are
educational institutions are, or are not, colleges. So we need to place a lowercase x in both areas and draw a
line between them.
S I
C
Some schools are educational institutions.
Some schools are colleges.
________
Some colleges are educational institutions.
Clearly we have to represent the second premise in a similar way, except that we need to x-x the
areas where schools and colleges overlap. Once we have done this our diagram will look like this:
S I
C
Some schools are educational institutions.
Some schools are colleges.
________
Some colleges are educational institutions.
Evidently the conclusion of this argument does not follow from its premises since the conclusion
informs us that something is definitely in the area where colleges and educational institutions overlap but the
diagram doesn't show this.
USING VENN DIAGRAMS TO DETERMINE VALIDITY ON THE CLASSICAL
VIEW
To use Venn diagrams to determine validity onthe classical view we need to alter the above account.
Classical logic evidently assumes that in sentences which express universal categorical statements, both the
subject and predicate terms refer to existing objects. So on the classical view, the statement that all S are P
entails that there exists an S that is a P. While the statement that no S are P entails not only that there exists an
S that is not a P, but also that there exists a P that is not an S.
If we want to use Venn diagrams to determine validity on the classical view we need to add these
assumptions to the diagram. So if the statement is an A-statement, besides shading the area of S that is not P,
we must also add an X to the area where S and P overlap. Doing this, we obtain. . . .
S P
All S are P.
On the other hand, if we want to represent the statement that no S are P, besides shading the area
where the S and P rectangles overlap, we also need to place an X in the area of the S rectangle that is not in
the P rectangle, and in the area of the P rectangle that is not in the S rectangle. Doing this we get:
S P
No S are P.
Let's see how this will work with some actual syllogisms.
EXAMPLE 1
S I
C
All colleges are schools.
All schools are educational institutions.
________
Some colleges are educational institutions.
The easiest way to handle this is to begin by representing the premises in the same way we would if
we were adopting the modern perspective. Accordingly, we shade all of those areas of schools that are not
educational institutions and of colleges that are not schools. Thus, we will shade the diagram as suggested
below. (Notice that if this were the end of the matter we would have to evaluate the argument as invalid, since
the conclusion does not follow from the premises.)
S I
C
All colleges are schools.
All schools are educational institutions.
________
Some colleges are educational institutions.
However, we are not finished yet. We must now add the assumptions that the premises make about
the sets referred to in their subject terms. Here this means that we must place a capital X in the area that
represents colleges that are schools, since this is implied by the first premise.
S I
C
All colleges are schools.
All schools are educational institutions.
________
Some colleges are educational institutions.
Normally, we would also have to place lowercase x-x in the two areas where schools and educational
institutions overlap, since this is an assumption that the second premise commits us to. Here, however, since
the earlier premise already commits us not only to the existence of some colleges, but also to existence of
some schools, this is unnecessary.
Clearly, our diagram shows that the argument is valid on the classical view.
NOTE: Any argument that is valid on the modern view will also be valid on the classical view; and any
argument that is invalid on the classical view will also be invalid on the modern view. (The converses of
these principles are, however, not true.)
EXAMPLE 2
S I
B
All schools are educational institutions.
No schools are bars.
________
Some bars are not educational institutions.
As we suggested in the last example, we begin by representing the premises just as we would if we
were adopting the modern view of syllogisms. Doing this, we get. . . .
S I
B
All schools are educational institutions.
No schools are bars.
________
Some bars are not educational institutions.
Now, however, we need to add the additional assumptions that the classical view makes about the
premises. Since the first premise commits us to the existence of at least one school that is an educational
institution, we need to represent this by placing a capital X in the un-shaded area where schools and
educational institutions overlap.
S I
B
All schools are educational institutions.
No schools are bars.
________
Some bars are not educational institutions.
To represent the presuppositions that classical logic makes about the second premise we must also
add in our diagram that there exist some schools that are not bars and some bars that are not schools.
However, we have already represented the first of these assumptions in the diagram. So all we need to do
then is to represent the assumption that some bars exist that are not schools. We do this by x-ing the area of
bars that are educational institutions and the area of bars that are not educational institutions, and drawing a
line between them.
S I
B
All schools are educational institutions.
No schools are bars.
________
Some bars are not educational institutions.
Inspecting the diagram we have now completed, we see that the conclusion of the argument does not
follow from its premises. It is, therefore, invalid.
A WORD OF WARNING
All of this may seem clear enough, and so long as the things we are reasoning about exist, the
principles of classical logic are acceptable. When we begin reasoning about objects that don't exist, however,
problems arise. First, the principle that the contradictory of any A statement must have the opposite
truth-value of that statement does not work. Thus, suppose for example, the statement is that all unicorns are
beautiful animals. This statement is false on the classical view, because there are no unicorns; while the
contradictory, "Some unicorns are not beautiful animals," is also false for precisely the same reason.
Moreover, both the I-statement "Some unicorns are beautiful animals," and its contradictory "No unicorns are
beautiful animals," will be false for the same reason. Second, the principle that subcontraries cannot both be
false must also be abandoned. For both the I-statement that some unicorns are beautiful animals, and the O-
statement that some unicorns are not beautiful animals, are false.
Whenever we are dealing with arguments that refer to nonexistent objects, we must represent them
from the modern perspective. Unfortunately, this is a severe limitation of classical logic. Many logicians
believe that logic should be independent of the way the world actually is. Whether an argument is valid or
invalid should not depend on whether or not its terms refer to existing objects.
SOME IMPORTANT POINTS TO REMEMBER
1. Whenever a premise is a universal statement you should always shade; and whenever it is an existential
statement you should always x.
2. With any kind of premise, always shade or x in the rectangle that represents the statement's subject term.
a.) If the premise reads, "All S are P," always shade the areas of the S rectangle that are outside the P
rectangle.
b.) If the premise reads, "No S are P," always shade those areas where the S and P rectangles overlap.
c.) If the premise reads, "Some S are P," find the two areas of the S rectangle that overlap the P rectangle.
If neither of these areas is shaded, place an x-x between them. If one of the two areas is shaded,
place a capital X in the other area.
d.) If the premise reads, "Some S are not P," find the two areas of the S rectangle that do not overlap with
the P rectangle. If neither of these areas is shaded, place an x-x between them. If one of the two
areas is shaded, place a capital X in the other area.
3. If you are working within the classical interpretation, after proceeding as indicated above, if either of the
premises is a universal statement:
a.) If the premise reads, "All S are P," you must indicate that there is at least one thing in the areas where
the S and P rectangles overlap. If one of the two areas where these rectangles overlap is shaded,
place a capital X in the other area. If neither of these areas is shaded, place x-x between them.
b.) If the premise reads, "No S are P," you must show that there is at least one thing in the area of the S
rectangle that does not overlap the P rectangle, and that there is at least one thing in the area of the P
rectangle that does not overlap the S rectangle. If either of the two areas where the S rectangle
doesn't overlap the P rectangle is already shaded, you should place a capital X in the other area. If
neither of these areas is shaded, place x-x between them. Then do the same for the area of the P
rectangle, which does not overlap the S rectangle.
4. When an area is shaded, it means nothing is in that area. When a capital X is in an area, it means that
something is definitely in that area. When an x-x exists between two areas, it means something exits in
one of the two areas. An empty area tells you nothing.
5. An argument is valid if the diagram forces you to admit that its conclusion is true. Otherwise, it is invalid.
HELP
If you have not understood the discussion above then proceed as follows: Number the three
rectangles as indicated below. Then identify the four numbers that constitute the rectangle of the
statement’s subject. Write them down. Underneath these four numbers write the four numbers that
constitute the rectangle of the statement’s predicate. Then use the chart below to either shade or x-x two
areas.
A B
C
The two common numbers between
the subject and the predicate
The two numbers that are different
in the top set of numbers
Shade E A
x-x I O
HOW TO HANDLE AN A-STATEMENT
Suppose the claim reads “All B are C.” The four numbers that represent the subject’s rectangle
(i.e., the B rectangle, since B occupies the subject position in the sentence) are 2356. The four numbers
that represent the predicate’s rectangle (i.e., the C rectangle, since that occupies the predicate position in
the sentence) are 4567. Since the statement is an A-statement the chart above tells us to find and shade the
two numbers that are different in the subject’s rectangle. Those numbers are 2 and 3. So the chart above
tells us to shade 2 and 3. (Read across and up from the A in the chart above.)
If we are representing things from the classical perspective we have additional work to do. We
need to represent Aristotle’s claim that a true A-statement implies a corresponding true I-statement in the
diagram. So after we have proceeded as indicated in the paragraph above the chart above tells us to x-x the
two common numbers between the subject and predicate. Those numbers are 5 and 6.
HOW TO HANDLE AN E-STATEMENT
Suppose the claim reads “No A are C.” The four numbers that represent the subject’s rectangle
(i.e., the A rectangle, since A occupies the subject position in the sentence) are 1245. The four numbers
that represent the predicate’s rectangle (i.e., the C rectangle, since that occupies the predicate position in
the sentence) are 4567. Since the statement is an E-statement the chart above tells us to find and shade the
two numbers that are common between these two sets of numbers. Those numbers are 4 and 5. So the
chart above tells us to shade 4 and 5. (Read across and up from E in the chart above.)
If we are representing things from the classical perspective, here again we have additional work to
do. We need to represent Aristotle’s claim that a true E-statement implies a corresponding true O-
statement in the diagram. The chart above tells us to x-x the two numbers that are different in the top set of
numbers. These numbers are 1 and 2.
But on Aristotle’s view the converse of a true E-statement has the same truth value as the original.
So the claim that “No A are C” implies that “No C are A,” and this in turn commits us to the O-statement
“Some C are not A.” To represent this claim in the diagram we must find and x-x the two numbers in the
bottom set that are different from the numbers in the top set. Those numbers are 6 and 7. So we should
also x-x these two areas.
HOW TO HANDLE I-STATEMENTS AND O-STATEMENTS
If the claim reads “Some C are B” the diagram above tells us we need to x-x areas 5 and 6;
while if it reads “Some C are not B” we need to x-x areas 4 and 7. No extra work is required if we are
constructing the diagram on the Classical perspective.
1 22 3
4 5 6
7
EXERCISES
Instructions: Construct two Venn Diagrams on the syllogism
below, one of which represents that argument on the modern
view, and the other of which represents it on the classical
perspective. Decide whether the argument is valid or invalid
on each view.
All vampires are bats.
No vampires are hemophiliacs.
____________________________
Some hemophiliacs are not bats.
Instructions: Construct two Venn Diagrams on each of the
arguments below, one of which represents that argument
from the modern view, and the other of which represents it on the classical view. Determine whether the
argument is valid or invalid on each of the two perspectives.
1. No diamonds are opals. No diamonds are sapphires. So no sapphires are opals.
2. Some islands are vacation resorts. All islands are paradises. So some paradises are vacation resorts.
3. All teachers are alcoholics. No alcoholics are politicians. So some politicians are not teachers.
4. No pleasurable experiences are headaches. All IRS audits are headaches. So no IRS audits are pleasurable
experiences.
5. All dragons are fire hazards. No endangered species are fire hazards. So some endangered species are not
dragons.
6. Only funny people are clowns. Funny people are never tedious oafs. So, all tedious oafs are non-clowns.
A BRAINTEASER
Instructions: Construct Venn-like Diagrams on the argument below and determine whether it is valid or
invalid on both the classical and modern interpretations.
Since all vampires are bats and some vampires are bloodsuckers, but no hemophiliacs are bats, it follows
that some bloodsuckers are not hemophiliacs.
LIMITATIONS AND A PROLOGUE
Although they are effective in determining the validity of many arguments containing quantifiers,
both the syllogistic and diagrammatic approaches we have been exploring in the last two chapters are
somewhat limited, most especially because they are unable to effectively evaluate arguments with premises
involving two or more quantifiers. They cannot, for example, determine the validity of the argument that
since everyone loves a lover and someone loves someone, it follows that everyone loves everyone. How
these sorts of arguments are to be dealt with was not discovered until the invention of quantification theory in
the early part of the twentieth century.

More Related Content

What's hot

Unidad 2 matematica
Unidad 2 matematicaUnidad 2 matematica
Unidad 2 matematica
NatalieNicoleVelasqu
 
BMS scolloquium
BMS scolloquiumBMS scolloquium
BMS scolloquium
Igor Rivin
 
Inductive and Deductive Reasoning
Inductive and Deductive ReasoningInductive and Deductive Reasoning
Inductive and Deductive Reasoning
Sonarin Cruz
 
Unidad 2 matematica
Unidad 2 matematicaUnidad 2 matematica
Unidad 2 matematica
kimberlinescobareche
 
Inductive reasoning & logic
Inductive reasoning & logicInductive reasoning & logic
Inductive reasoning & logictommy34g
 
February 11, 2014
February 11, 2014February 11, 2014
February 11, 2014khyps13
 
Finite mathematics
Finite mathematicsFinite mathematics
Finite mathematics
Igor Rivin
 
Artifact 3 clemson
Artifact 3 clemsonArtifact 3 clemson
Artifact 3 clemsonclemsonj11
 

What's hot (8)

Unidad 2 matematica
Unidad 2 matematicaUnidad 2 matematica
Unidad 2 matematica
 
BMS scolloquium
BMS scolloquiumBMS scolloquium
BMS scolloquium
 
Inductive and Deductive Reasoning
Inductive and Deductive ReasoningInductive and Deductive Reasoning
Inductive and Deductive Reasoning
 
Unidad 2 matematica
Unidad 2 matematicaUnidad 2 matematica
Unidad 2 matematica
 
Inductive reasoning & logic
Inductive reasoning & logicInductive reasoning & logic
Inductive reasoning & logic
 
February 11, 2014
February 11, 2014February 11, 2014
February 11, 2014
 
Finite mathematics
Finite mathematicsFinite mathematics
Finite mathematics
 
Artifact 3 clemson
Artifact 3 clemsonArtifact 3 clemson
Artifact 3 clemson
 

Viewers also liked

Dld lecture module 05
Dld lecture module 05Dld lecture module 05
Dld lecture module 05
Bilal Maqbool ツ
 
English 01 application
English 01 applicationEnglish 01 application
English 01 application
Bilal Maqbool ツ
 
Dld lecture module 03
Dld lecture module 03Dld lecture module 03
Dld lecture module 03
Bilal Maqbool ツ
 
Complement
ComplementComplement
Complement
Bilal Maqbool ツ
 
Dld lecture module 06
Dld lecture module 06Dld lecture module 06
Dld lecture module 06
Bilal Maqbool ツ
 
Number+system (1)
Number+system (1)Number+system (1)
Number+system (1)
Bilal Maqbool ツ
 
Graphical programming
Graphical programmingGraphical programming
Graphical programming
Bilal Maqbool ツ
 
Uncdtalk
UncdtalkUncdtalk
Basic+machine+organization
Basic+machine+organizationBasic+machine+organization
Basic+machine+organization
Bilal Maqbool ツ
 
Dld lecture module 01
Dld lecture module 01Dld lecture module 01
Dld lecture module 01
Bilal Maqbool ツ
 
Dld lecture module 02
Dld lecture module 02Dld lecture module 02
Dld lecture module 02
Bilal Maqbool ツ
 
Operating Systems
Operating SystemsOperating Systems
Operating Systems
Bilal Maqbool ツ
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
Bilal Maqbool ツ
 
Algorithm defination, design & Implementation
Algorithm defination, design & ImplementationAlgorithm defination, design & Implementation
Algorithm defination, design & Implementation
Bilal Maqbool ツ
 
Dld lecture module 04 01
Dld lecture module 04  01Dld lecture module 04  01
Dld lecture module 04 01
Bilal Maqbool ツ
 
Computer graphics
Computer graphicsComputer graphics
Computer graphics
Bilal Maqbool ツ
 
Internet
InternetInternet
An introduction to software
An introduction to softwareAn introduction to software
An introduction to software
Bilal Maqbool ツ
 

Viewers also liked (20)

Dld lecture module 05
Dld lecture module 05Dld lecture module 05
Dld lecture module 05
 
English 01 application
English 01 applicationEnglish 01 application
English 01 application
 
Dld lecture module 03
Dld lecture module 03Dld lecture module 03
Dld lecture module 03
 
Complement
ComplementComplement
Complement
 
Dld lecture module 06
Dld lecture module 06Dld lecture module 06
Dld lecture module 06
 
Number+system (1)
Number+system (1)Number+system (1)
Number+system (1)
 
Graphical programming
Graphical programmingGraphical programming
Graphical programming
 
Uncdtalk
UncdtalkUncdtalk
Uncdtalk
 
Basic+machine+organization
Basic+machine+organizationBasic+machine+organization
Basic+machine+organization
 
Dld lecture module 01
Dld lecture module 01Dld lecture module 01
Dld lecture module 01
 
Dld lecture module 02
Dld lecture module 02Dld lecture module 02
Dld lecture module 02
 
Operating Systems
Operating SystemsOperating Systems
Operating Systems
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Algorithm defination, design & Implementation
Algorithm defination, design & ImplementationAlgorithm defination, design & Implementation
Algorithm defination, design & Implementation
 
Good
GoodGood
Good
 
Dld lecture module 04 01
Dld lecture module 04  01Dld lecture module 04  01
Dld lecture module 04 01
 
Computer graphics
Computer graphicsComputer graphics
Computer graphics
 
Internet
InternetInternet
Internet
 
Okkkkk
OkkkkkOkkkkk
Okkkkk
 
An introduction to software
An introduction to softwareAn introduction to software
An introduction to software
 

Similar to Chapter10

5.2 Venn Diagrams
5.2   Venn Diagrams5.2   Venn Diagrams
5.2 Venn Diagrams
Nicholas Lykins
 
Proof-Theoretic Semantics: Point-free meaninig of first-order systems
Proof-Theoretic Semantics: Point-free meaninig of first-order systemsProof-Theoretic Semantics: Point-free meaninig of first-order systems
Proof-Theoretic Semantics: Point-free meaninig of first-order systems
Marco Benini
 
Symbolism And Diagram for Categorical Proposition
Symbolism And Diagram for Categorical PropositionSymbolism And Diagram for Categorical Proposition
Symbolism And Diagram for Categorical Proposition
Syeda Hadiqa Zehra Rizvi
 
In each of the following exercises, assume only the Incidence, Betwee.pdf
In each of the following exercises, assume only the Incidence, Betwee.pdfIn each of the following exercises, assume only the Incidence, Betwee.pdf
In each of the following exercises, assume only the Incidence, Betwee.pdf
arpitcollections
 
Point-free foundation of Mathematics
Point-free foundation of MathematicsPoint-free foundation of Mathematics
Point-free foundation of Mathematics
Marco Benini
 
Venn diagram
Venn diagramVenn diagram
Venn diagram
oliver guevarra
 
Dialectica and Kolmogorov Problems
Dialectica and Kolmogorov ProblemsDialectica and Kolmogorov Problems
Dialectica and Kolmogorov Problems
Valeria de Paiva
 
Introductiontoeuclidsgeometryby 131215081330-phpapp02
Introductiontoeuclidsgeometryby 131215081330-phpapp02Introductiontoeuclidsgeometryby 131215081330-phpapp02
Introductiontoeuclidsgeometryby 131215081330-phpapp02Shubham Ghadigaonkar
 
Logic paper
Logic paperLogic paper
Logic paperDlist
 
CUMC talk notes v3
CUMC talk notes v3CUMC talk notes v3
CUMC talk notes v3Eeshan Wagh
 
Philosophy chapter i_ok10
Philosophy chapter i_ok10Philosophy chapter i_ok10
Philosophy chapter i_ok10Irma Fitriani
 
Tim Maudlin: New Foundations for Physical Geometry
Tim Maudlin: New Foundations for Physical GeometryTim Maudlin: New Foundations for Physical Geometry
Tim Maudlin: New Foundations for Physical Geometry
Arun Gupta
 
Lec28
Lec28Lec28
Semantics and models
Semantics and models Semantics and models
Semantics and models
Nat Karablina
 
5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx
BanjarMasin4
 
Peirce’s Existential Graphs
Peirce’s Existential GraphsPeirce’s Existential Graphs
Peirce’s Existential GraphsDidi Sugandi
 
Equivalence relations
Equivalence relationsEquivalence relations
Equivalence relationsTarun Gehlot
 
Generalizacion del teorema de pitagoras version ingles
Generalizacion del teorema de pitagoras   version inglesGeneralizacion del teorema de pitagoras   version ingles
Generalizacion del teorema de pitagoras version ingles
Eugenio Theran Palacio
 

Similar to Chapter10 (20)

5.2 Venn Diagrams
5.2   Venn Diagrams5.2   Venn Diagrams
5.2 Venn Diagrams
 
Proof-Theoretic Semantics: Point-free meaninig of first-order systems
Proof-Theoretic Semantics: Point-free meaninig of first-order systemsProof-Theoretic Semantics: Point-free meaninig of first-order systems
Proof-Theoretic Semantics: Point-free meaninig of first-order systems
 
Symbolism And Diagram for Categorical Proposition
Symbolism And Diagram for Categorical PropositionSymbolism And Diagram for Categorical Proposition
Symbolism And Diagram for Categorical Proposition
 
In each of the following exercises, assume only the Incidence, Betwee.pdf
In each of the following exercises, assume only the Incidence, Betwee.pdfIn each of the following exercises, assume only the Incidence, Betwee.pdf
In each of the following exercises, assume only the Incidence, Betwee.pdf
 
Point-free foundation of Mathematics
Point-free foundation of MathematicsPoint-free foundation of Mathematics
Point-free foundation of Mathematics
 
Venn diagram
Venn diagramVenn diagram
Venn diagram
 
Lec11
Lec11Lec11
Lec11
 
Dialectica and Kolmogorov Problems
Dialectica and Kolmogorov ProblemsDialectica and Kolmogorov Problems
Dialectica and Kolmogorov Problems
 
Introductiontoeuclidsgeometryby 131215081330-phpapp02
Introductiontoeuclidsgeometryby 131215081330-phpapp02Introductiontoeuclidsgeometryby 131215081330-phpapp02
Introductiontoeuclidsgeometryby 131215081330-phpapp02
 
Logic paper
Logic paperLogic paper
Logic paper
 
CUMC talk notes v3
CUMC talk notes v3CUMC talk notes v3
CUMC talk notes v3
 
Philosophy chapter i_ok10
Philosophy chapter i_ok10Philosophy chapter i_ok10
Philosophy chapter i_ok10
 
Tim Maudlin: New Foundations for Physical Geometry
Tim Maudlin: New Foundations for Physical GeometryTim Maudlin: New Foundations for Physical Geometry
Tim Maudlin: New Foundations for Physical Geometry
 
Lec28
Lec28Lec28
Lec28
 
Semantics and models
Semantics and models Semantics and models
Semantics and models
 
5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx5. Limit Fungsi yang menjadi Aljabar.pptx
5. Limit Fungsi yang menjadi Aljabar.pptx
 
Peirce’s Existential Graphs
Peirce’s Existential GraphsPeirce’s Existential Graphs
Peirce’s Existential Graphs
 
Venndiag
VenndiagVenndiag
Venndiag
 
Equivalence relations
Equivalence relationsEquivalence relations
Equivalence relations
 
Generalizacion del teorema de pitagoras version ingles
Generalizacion del teorema de pitagoras   version inglesGeneralizacion del teorema de pitagoras   version ingles
Generalizacion del teorema de pitagoras version ingles
 

More from Bilal Maqbool ツ

Lecture 3 report writtng
Lecture 3 report writtngLecture 3 report writtng
Lecture 3 report writtng
Bilal Maqbool ツ
 
Lecture 2
Lecture 2Lecture 2
Lecture 1 report writing
Lecture 1 report writingLecture 1 report writing
Lecture 1 report writing
Bilal Maqbool ツ
 
Bill gates
Bill gatesBill gates
Bill gates
Bilal Maqbool ツ
 
Programming assignment 02 (bilal maqbool 10) 2011
Programming assignment 02    (bilal maqbool 10) 2011Programming assignment 02    (bilal maqbool 10) 2011
Programming assignment 02 (bilal maqbool 10) 2011
Bilal Maqbool ツ
 
Programming assignment 30 12-11
Programming assignment 30 12-11Programming assignment 30 12-11
Programming assignment 30 12-11
Bilal Maqbool ツ
 
Internet presentation
Internet presentationInternet presentation
Internet presentation
Bilal Maqbool ツ
 
Presentation internet programming report
Presentation internet programming reportPresentation internet programming report
Presentation internet programming report
Bilal Maqbool ツ
 
Magnetic storage devices
Magnetic storage devicesMagnetic storage devices
Magnetic storage devices
Bilal Maqbool ツ
 
How internet technology be used to spread scientific awareness among pakistan...
How internet technology be used to spread scientific awareness among pakistan...How internet technology be used to spread scientific awareness among pakistan...
How internet technology be used to spread scientific awareness among pakistan...
Bilal Maqbool ツ
 
Math assignment Program
Math assignment ProgramMath assignment Program
Math assignment Program
Bilal Maqbool ツ
 
Final of sentences PPT
Final of sentences PPTFinal of sentences PPT
Final of sentences PPT
Bilal Maqbool ツ
 
Advantages and disadvantages of LCD
Advantages and disadvantages of LCDAdvantages and disadvantages of LCD
Advantages and disadvantages of LCD
Bilal Maqbool ツ
 
A history of windows
A history of windowsA history of windows
A history of windows
Bilal Maqbool ツ
 
Bluetooth 27 01-12 PPT
Bluetooth 27 01-12 PPTBluetooth 27 01-12 PPT
Bluetooth 27 01-12 PPT
Bilal Maqbool ツ
 
Bluetooth PPT Report
Bluetooth PPT ReportBluetooth PPT Report
Bluetooth PPT Report
Bilal Maqbool ツ
 
Computing assignment 02 ms access (bilal maqbool 10) se-i
Computing assignment 02   ms access (bilal maqbool 10)          se-iComputing assignment 02   ms access (bilal maqbool 10)          se-i
Computing assignment 02 ms access (bilal maqbool 10) se-i
Bilal Maqbool ツ
 
Bilal maqbool assignment no.01 computing
Bilal maqbool assignment no.01 computingBilal maqbool assignment no.01 computing
Bilal maqbool assignment no.01 computing
Bilal Maqbool ツ
 

More from Bilal Maqbool ツ (19)

Lecture 3 report writtng
Lecture 3 report writtngLecture 3 report writtng
Lecture 3 report writtng
 
Lecture 2
Lecture 2Lecture 2
Lecture 2
 
Lecture 1 report writing
Lecture 1 report writingLecture 1 report writing
Lecture 1 report writing
 
Bill gates
Bill gatesBill gates
Bill gates
 
Programming assignment 02 (bilal maqbool 10) 2011
Programming assignment 02    (bilal maqbool 10) 2011Programming assignment 02    (bilal maqbool 10) 2011
Programming assignment 02 (bilal maqbool 10) 2011
 
Programming assignment 30 12-11
Programming assignment 30 12-11Programming assignment 30 12-11
Programming assignment 30 12-11
 
Internet presentation
Internet presentationInternet presentation
Internet presentation
 
Presentation internet programming report
Presentation internet programming reportPresentation internet programming report
Presentation internet programming report
 
Magnetic storage devices
Magnetic storage devicesMagnetic storage devices
Magnetic storage devices
 
How internet technology be used to spread scientific awareness among pakistan...
How internet technology be used to spread scientific awareness among pakistan...How internet technology be used to spread scientific awareness among pakistan...
How internet technology be used to spread scientific awareness among pakistan...
 
Math assignment Program
Math assignment ProgramMath assignment Program
Math assignment Program
 
Final of sentences PPT
Final of sentences PPTFinal of sentences PPT
Final of sentences PPT
 
Advantages and disadvantages of LCD
Advantages and disadvantages of LCDAdvantages and disadvantages of LCD
Advantages and disadvantages of LCD
 
A history of windows
A history of windowsA history of windows
A history of windows
 
Lcd
LcdLcd
Lcd
 
Bluetooth 27 01-12 PPT
Bluetooth 27 01-12 PPTBluetooth 27 01-12 PPT
Bluetooth 27 01-12 PPT
 
Bluetooth PPT Report
Bluetooth PPT ReportBluetooth PPT Report
Bluetooth PPT Report
 
Computing assignment 02 ms access (bilal maqbool 10) se-i
Computing assignment 02   ms access (bilal maqbool 10)          se-iComputing assignment 02   ms access (bilal maqbool 10)          se-i
Computing assignment 02 ms access (bilal maqbool 10) se-i
 
Bilal maqbool assignment no.01 computing
Bilal maqbool assignment no.01 computingBilal maqbool assignment no.01 computing
Bilal maqbool assignment no.01 computing
 

Recently uploaded

June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
Levi Shapiro
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Po-Chuan Chen
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
joachimlavalley1
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
Celine George
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
timhan337
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
Francesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptxFrancesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptx
EduSkills OECD
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
Pavel ( NSTU)
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
SACHIN R KONDAGURI
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
Peter Windle
 

Recently uploaded (20)

June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
Francesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptxFrancesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptx
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
 

Chapter10

  • 1. CHAPTER 10 VENN DIAGRAMS INTRODUCTION In the nineteenth-century, John Venn developed a technique for determining whether a categorical syllogism is valid or invalid. Although the method he constructed relied on the modern interpretation of universal statements, we can easily modify it for use on the older classical view of such statements. In the present chapter we will begin by explaining the technique as Venn originally developed it. Then later we will show you how to use it to determine validity on the older classical theory of categorical syllogisms. REPRESENTING CATEGORICAL SYLLOGISMS WITH VENN DIAGRAMS S P The two overlapping rectangles above should be construed as representing two sets. The one on the left represents the set consisting in all of the S things there are in the universe; while the one on the right represents all of the P things there are in the universe. That part of the S rectangle which overlaps with the P rectangle represents those objects in the universe that are members of both sets. That portion of the S rectangle that does not overlap with the P rectangle represents all of the objects in the universe that are S but not P. While that portion of the P rectangle that does not overlap with the S rectangle represents all of the things in the universe that are P but not S. SHADING If we want to show that nothing is in a certain area we do this by shading that area. So, for example, if we want to say there are no Ss that are not Ps, we shade the area of the S rectangle that does not overlap the area of the P rectangle. We represent the claim that all Sare P in this way. S P All S are P.
  • 2. On the other hand, if we want to represent the claim that no Ss are Ps, we can do this by shading the area where the S rectangle and P rectangle overlap. S P No S are P. Finally, if we want to show that all P are S, or, in other words, there are no Ps that are not also Ss, we can shade the rightmost part of P. S P All P are S. INDICATING THAT SOMETHING IS IN AN AREA To show that something is in a certain area we place a capital X in that area. Thus, to say that there is something that is a member of S, but not a member of P, we place an X in the section of the S rectangle that does not overlap with the P rectangle. S P Some S are not P.
  • 3. To say that something exists that belongs to both sets we place a capital X in the area where the two rectangles overlap. S P Some S are P. To represent that something is a member of P, but not of S, we place an X in the area of the P rectangle that doesn't overlap the S rectangle. S P Some P are not S. Finally, if we know that the S set has something in it, but we don't know whether that thing is or is not also a member of P, we will place a lower case x in both sets and then connect them with a line. Thus, the diagram below tells us that there is at least one member of S, but it does not tell us whether that thing is, or is not, also a member of P. S P There are some S.
  • 4. REPRESENTING CATEGORICAL SYLLOGISMS So far we have been concerned with representing single statements in Venn diagrams. An argument, however, is not one statement, and a categorical syllogism is a type of argument. More specifically, a categorical syllogism is an argument that contains exactly two premises, both of which are categorical statements. The problem is how do we use Venn diagrams to represent categorical syllogisms? And how do we use them to decide whether such syllogisms are valid? Perhaps the first thing to notice is that a categorical syllogism refers to three sets, rather than two. So, instead of two overlapping rectangles we will need three such rectangles. EXAMPLE 1 S I C All schools are educational institutions. Some schools are colleges. ________ Some colleges are educational institutions. To decide whether the argument above is valid or invalid we must begin by representing both of the premises in the diagram. We represent the first premise by shading the area of schools that are not educational institutions. S I C All schools are educational institutions. Some schools are colleges. ________ Some colleges are educational institutions. Then we need to represent the second premise. This premise tells us that there is at least one school that is also a college. To express this in the diagram, we need to place an x in those areas where schools and colleges overlap. The only such area that has not been shaded, however, is the area where the three rectangles
  • 5. overlap. So we know that something exists in this area. We must, therefore, place a capital X in this area and our diagram will then look like this: S I C All schools are educational institutions. Some schools are colleges. ________ Some colleges are educational institutions. All that remains is to evaluate whether the conclusion of the argument follows from its premises. If it does the argument is valid; otherwise it is invalid. Clearly the argument in question is valid. Let's try one more example. EXAMPLE 2 S I C Some schools are educational institutions. Some schools are colleges. ________ Some colleges are educational institutions. To represent the first premise of this argument, we need to show that something is in the area of schools that are educational institutions. In the diagram there are, however, two areas that represent schools that are educational institutions and, unfortunately, the first premise doesn't tell us whether the schools that are educational institutions are, or are not, colleges. So we need to place a lowercase x in both areas and draw a line between them.
  • 6. S I C Some schools are educational institutions. Some schools are colleges. ________ Some colleges are educational institutions. Clearly we have to represent the second premise in a similar way, except that we need to x-x the areas where schools and colleges overlap. Once we have done this our diagram will look like this: S I C Some schools are educational institutions. Some schools are colleges. ________ Some colleges are educational institutions. Evidently the conclusion of this argument does not follow from its premises since the conclusion informs us that something is definitely in the area where colleges and educational institutions overlap but the diagram doesn't show this. USING VENN DIAGRAMS TO DETERMINE VALIDITY ON THE CLASSICAL VIEW To use Venn diagrams to determine validity onthe classical view we need to alter the above account. Classical logic evidently assumes that in sentences which express universal categorical statements, both the subject and predicate terms refer to existing objects. So on the classical view, the statement that all S are P entails that there exists an S that is a P. While the statement that no S are P entails not only that there exists an S that is not a P, but also that there exists a P that is not an S.
  • 7. If we want to use Venn diagrams to determine validity on the classical view we need to add these assumptions to the diagram. So if the statement is an A-statement, besides shading the area of S that is not P, we must also add an X to the area where S and P overlap. Doing this, we obtain. . . . S P All S are P. On the other hand, if we want to represent the statement that no S are P, besides shading the area where the S and P rectangles overlap, we also need to place an X in the area of the S rectangle that is not in the P rectangle, and in the area of the P rectangle that is not in the S rectangle. Doing this we get: S P No S are P. Let's see how this will work with some actual syllogisms. EXAMPLE 1 S I C All colleges are schools. All schools are educational institutions. ________ Some colleges are educational institutions.
  • 8. The easiest way to handle this is to begin by representing the premises in the same way we would if we were adopting the modern perspective. Accordingly, we shade all of those areas of schools that are not educational institutions and of colleges that are not schools. Thus, we will shade the diagram as suggested below. (Notice that if this were the end of the matter we would have to evaluate the argument as invalid, since the conclusion does not follow from the premises.) S I C All colleges are schools. All schools are educational institutions. ________ Some colleges are educational institutions. However, we are not finished yet. We must now add the assumptions that the premises make about the sets referred to in their subject terms. Here this means that we must place a capital X in the area that represents colleges that are schools, since this is implied by the first premise. S I C All colleges are schools. All schools are educational institutions. ________ Some colleges are educational institutions. Normally, we would also have to place lowercase x-x in the two areas where schools and educational institutions overlap, since this is an assumption that the second premise commits us to. Here, however, since the earlier premise already commits us not only to the existence of some colleges, but also to existence of some schools, this is unnecessary. Clearly, our diagram shows that the argument is valid on the classical view.
  • 9. NOTE: Any argument that is valid on the modern view will also be valid on the classical view; and any argument that is invalid on the classical view will also be invalid on the modern view. (The converses of these principles are, however, not true.) EXAMPLE 2 S I B All schools are educational institutions. No schools are bars. ________ Some bars are not educational institutions. As we suggested in the last example, we begin by representing the premises just as we would if we were adopting the modern view of syllogisms. Doing this, we get. . . . S I B All schools are educational institutions. No schools are bars. ________ Some bars are not educational institutions. Now, however, we need to add the additional assumptions that the classical view makes about the premises. Since the first premise commits us to the existence of at least one school that is an educational institution, we need to represent this by placing a capital X in the un-shaded area where schools and educational institutions overlap.
  • 10. S I B All schools are educational institutions. No schools are bars. ________ Some bars are not educational institutions. To represent the presuppositions that classical logic makes about the second premise we must also add in our diagram that there exist some schools that are not bars and some bars that are not schools. However, we have already represented the first of these assumptions in the diagram. So all we need to do then is to represent the assumption that some bars exist that are not schools. We do this by x-ing the area of bars that are educational institutions and the area of bars that are not educational institutions, and drawing a line between them. S I B All schools are educational institutions. No schools are bars. ________ Some bars are not educational institutions. Inspecting the diagram we have now completed, we see that the conclusion of the argument does not follow from its premises. It is, therefore, invalid. A WORD OF WARNING All of this may seem clear enough, and so long as the things we are reasoning about exist, the principles of classical logic are acceptable. When we begin reasoning about objects that don't exist, however, problems arise. First, the principle that the contradictory of any A statement must have the opposite truth-value of that statement does not work. Thus, suppose for example, the statement is that all unicorns are beautiful animals. This statement is false on the classical view, because there are no unicorns; while the contradictory, "Some unicorns are not beautiful animals," is also false for precisely the same reason. Moreover, both the I-statement "Some unicorns are beautiful animals," and its contradictory "No unicorns are
  • 11. beautiful animals," will be false for the same reason. Second, the principle that subcontraries cannot both be false must also be abandoned. For both the I-statement that some unicorns are beautiful animals, and the O- statement that some unicorns are not beautiful animals, are false. Whenever we are dealing with arguments that refer to nonexistent objects, we must represent them from the modern perspective. Unfortunately, this is a severe limitation of classical logic. Many logicians believe that logic should be independent of the way the world actually is. Whether an argument is valid or invalid should not depend on whether or not its terms refer to existing objects. SOME IMPORTANT POINTS TO REMEMBER 1. Whenever a premise is a universal statement you should always shade; and whenever it is an existential statement you should always x. 2. With any kind of premise, always shade or x in the rectangle that represents the statement's subject term. a.) If the premise reads, "All S are P," always shade the areas of the S rectangle that are outside the P rectangle. b.) If the premise reads, "No S are P," always shade those areas where the S and P rectangles overlap. c.) If the premise reads, "Some S are P," find the two areas of the S rectangle that overlap the P rectangle. If neither of these areas is shaded, place an x-x between them. If one of the two areas is shaded, place a capital X in the other area. d.) If the premise reads, "Some S are not P," find the two areas of the S rectangle that do not overlap with the P rectangle. If neither of these areas is shaded, place an x-x between them. If one of the two areas is shaded, place a capital X in the other area. 3. If you are working within the classical interpretation, after proceeding as indicated above, if either of the premises is a universal statement: a.) If the premise reads, "All S are P," you must indicate that there is at least one thing in the areas where the S and P rectangles overlap. If one of the two areas where these rectangles overlap is shaded, place a capital X in the other area. If neither of these areas is shaded, place x-x between them. b.) If the premise reads, "No S are P," you must show that there is at least one thing in the area of the S rectangle that does not overlap the P rectangle, and that there is at least one thing in the area of the P rectangle that does not overlap the S rectangle. If either of the two areas where the S rectangle doesn't overlap the P rectangle is already shaded, you should place a capital X in the other area. If neither of these areas is shaded, place x-x between them. Then do the same for the area of the P rectangle, which does not overlap the S rectangle. 4. When an area is shaded, it means nothing is in that area. When a capital X is in an area, it means that something is definitely in that area. When an x-x exists between two areas, it means something exits in one of the two areas. An empty area tells you nothing. 5. An argument is valid if the diagram forces you to admit that its conclusion is true. Otherwise, it is invalid. HELP If you have not understood the discussion above then proceed as follows: Number the three rectangles as indicated below. Then identify the four numbers that constitute the rectangle of the statement’s subject. Write them down. Underneath these four numbers write the four numbers that constitute the rectangle of the statement’s predicate. Then use the chart below to either shade or x-x two areas.
  • 12. A B C The two common numbers between the subject and the predicate The two numbers that are different in the top set of numbers Shade E A x-x I O HOW TO HANDLE AN A-STATEMENT Suppose the claim reads “All B are C.” The four numbers that represent the subject’s rectangle (i.e., the B rectangle, since B occupies the subject position in the sentence) are 2356. The four numbers that represent the predicate’s rectangle (i.e., the C rectangle, since that occupies the predicate position in the sentence) are 4567. Since the statement is an A-statement the chart above tells us to find and shade the two numbers that are different in the subject’s rectangle. Those numbers are 2 and 3. So the chart above tells us to shade 2 and 3. (Read across and up from the A in the chart above.) If we are representing things from the classical perspective we have additional work to do. We need to represent Aristotle’s claim that a true A-statement implies a corresponding true I-statement in the diagram. So after we have proceeded as indicated in the paragraph above the chart above tells us to x-x the two common numbers between the subject and predicate. Those numbers are 5 and 6. HOW TO HANDLE AN E-STATEMENT Suppose the claim reads “No A are C.” The four numbers that represent the subject’s rectangle (i.e., the A rectangle, since A occupies the subject position in the sentence) are 1245. The four numbers that represent the predicate’s rectangle (i.e., the C rectangle, since that occupies the predicate position in the sentence) are 4567. Since the statement is an E-statement the chart above tells us to find and shade the two numbers that are common between these two sets of numbers. Those numbers are 4 and 5. So the chart above tells us to shade 4 and 5. (Read across and up from E in the chart above.) If we are representing things from the classical perspective, here again we have additional work to do. We need to represent Aristotle’s claim that a true E-statement implies a corresponding true O- statement in the diagram. The chart above tells us to x-x the two numbers that are different in the top set of numbers. These numbers are 1 and 2. But on Aristotle’s view the converse of a true E-statement has the same truth value as the original. So the claim that “No A are C” implies that “No C are A,” and this in turn commits us to the O-statement “Some C are not A.” To represent this claim in the diagram we must find and x-x the two numbers in the bottom set that are different from the numbers in the top set. Those numbers are 6 and 7. So we should also x-x these two areas. HOW TO HANDLE I-STATEMENTS AND O-STATEMENTS If the claim reads “Some C are B” the diagram above tells us we need to x-x areas 5 and 6; while if it reads “Some C are not B” we need to x-x areas 4 and 7. No extra work is required if we are constructing the diagram on the Classical perspective. 1 22 3 4 5 6 7
  • 13. EXERCISES Instructions: Construct two Venn Diagrams on the syllogism below, one of which represents that argument on the modern view, and the other of which represents it on the classical perspective. Decide whether the argument is valid or invalid on each view. All vampires are bats. No vampires are hemophiliacs. ____________________________ Some hemophiliacs are not bats. Instructions: Construct two Venn Diagrams on each of the arguments below, one of which represents that argument from the modern view, and the other of which represents it on the classical view. Determine whether the argument is valid or invalid on each of the two perspectives. 1. No diamonds are opals. No diamonds are sapphires. So no sapphires are opals. 2. Some islands are vacation resorts. All islands are paradises. So some paradises are vacation resorts. 3. All teachers are alcoholics. No alcoholics are politicians. So some politicians are not teachers. 4. No pleasurable experiences are headaches. All IRS audits are headaches. So no IRS audits are pleasurable experiences. 5. All dragons are fire hazards. No endangered species are fire hazards. So some endangered species are not dragons. 6. Only funny people are clowns. Funny people are never tedious oafs. So, all tedious oafs are non-clowns. A BRAINTEASER Instructions: Construct Venn-like Diagrams on the argument below and determine whether it is valid or invalid on both the classical and modern interpretations. Since all vampires are bats and some vampires are bloodsuckers, but no hemophiliacs are bats, it follows that some bloodsuckers are not hemophiliacs. LIMITATIONS AND A PROLOGUE Although they are effective in determining the validity of many arguments containing quantifiers, both the syllogistic and diagrammatic approaches we have been exploring in the last two chapters are somewhat limited, most especially because they are unable to effectively evaluate arguments with premises involving two or more quantifiers. They cannot, for example, determine the validity of the argument that since everyone loves a lover and someone loves someone, it follows that everyone loves everyone. How these sorts of arguments are to be dealt with was not discovered until the invention of quantification theory in the early part of the twentieth century.