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WHAT IS LOGIC
Definition
 Logic is the study of methods and
principles used to distinguish good
(correct) from bad (incorrect) reasoning.
 Logic is the study of the principles of valid
inference and demonstration
 Logic is a branch of philosophy
Reasoning
 Logic is the science of laws of thought
 BUT not all thought is the object of study
for the logician
 All reasoning is thinking, but not all
thinking is reasoning
 Logic is the science of Reasoning
INFERENCE
PREMISES AND CONCLUSION
 Inference is the process by which one proposition
is arrived at and affirmed on the basis of one or
more propositions
 Propositions are either true or false
 Not all sentences are propositions
Conclusion of an argument is the proposition that is
affirmed on the basis of the other propositions
Conclusion-indicators
 Therefore
 Hence
 Thus
 So
 Accordingly
 In consequence
 Consequently
 Proves that
 As a result
 For this reason
Premiss-indicators
 Since
 Because
 For as follows from
 As shown by
 Inasmuch as
Types of reasoning
 Deduction
 Induction
Deductive Arguments
 Conclusion claims to follow from
premises with necessity
 Valid or invalid: all-or-nothing
 If the conclusion does follow necessarily,
the argument cannot be improved by
adding more premises
Deductive Argument
Here’s an example of a deductive
argument:
All men are rational.
John is a man.
Therefore, John is rational.
Inductive Arguments
 Conclusion follows with a greater or
lesser degree of probability
 Always a matter of degree
 Can always be made better (stronger) by
adding more premises
Inductive Argument
Here’s an example of an inductive
argument:
 Seattle has had over 30” of rain each year
for the past ten years
 Therefore, Seattle will probably have at
least 30” of rain this year.
Terms of Evaluation
 Deductive: Valid or Invalid
 Inductive: Strong or Weak
Evaluating Deductive
Arguments
 Two Questions:
Is the argument valid, i.e., does the
conclusion follow necessarily?
Are the premises true?
 If “Yes” to both questions, then it is a
sound argument
 If “No” to either or both questions, then
argument is unsound.
Evaluating Inductive
Arguments
 Two Questions:
 Is the argument strong, i.e., does the conclusion
follow with a high degree of probability?
 Are the premises true, complete and relevant?
 If “Yes” to both questions, then it is a cogent
argument
 If “No” to either or both questions, then
argument is non-cogent
Comparison
Deductive Inductive
Strength of
Reasoning:
Valid/
Invalid
Strong/
Weak
Premises: True/False True/False
Complete
Relevant
Overall: Sound/
Unsound
Cogent/
Uncogent
Properties of logical systems
 Among the valuable properties that logical systems can
have are:
 Consistency, which means that none of the theorems of
the system contradict one another.
 Soundness, which means that the system's rules of proof
will never allow a false inference from a true premise. If a
system is sound and its axioms are true then its theorems
are also guaranteed to be true.
 Completeness, which means that there are no true
sentences in the system that cannot, at least in principle,
be proved in the system.

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A Lecture on "What is Logic? - Philosophy

  • 2. Definition  Logic is the study of methods and principles used to distinguish good (correct) from bad (incorrect) reasoning.  Logic is the study of the principles of valid inference and demonstration  Logic is a branch of philosophy
  • 3. Reasoning  Logic is the science of laws of thought  BUT not all thought is the object of study for the logician  All reasoning is thinking, but not all thinking is reasoning  Logic is the science of Reasoning
  • 4. INFERENCE PREMISES AND CONCLUSION  Inference is the process by which one proposition is arrived at and affirmed on the basis of one or more propositions  Propositions are either true or false  Not all sentences are propositions Conclusion of an argument is the proposition that is affirmed on the basis of the other propositions
  • 5. Conclusion-indicators  Therefore  Hence  Thus  So  Accordingly  In consequence  Consequently  Proves that  As a result  For this reason
  • 6. Premiss-indicators  Since  Because  For as follows from  As shown by  Inasmuch as
  • 7. Types of reasoning  Deduction  Induction
  • 8. Deductive Arguments  Conclusion claims to follow from premises with necessity  Valid or invalid: all-or-nothing  If the conclusion does follow necessarily, the argument cannot be improved by adding more premises
  • 9. Deductive Argument Here’s an example of a deductive argument: All men are rational. John is a man. Therefore, John is rational.
  • 10. Inductive Arguments  Conclusion follows with a greater or lesser degree of probability  Always a matter of degree  Can always be made better (stronger) by adding more premises
  • 11. Inductive Argument Here’s an example of an inductive argument:  Seattle has had over 30” of rain each year for the past ten years  Therefore, Seattle will probably have at least 30” of rain this year.
  • 12. Terms of Evaluation  Deductive: Valid or Invalid  Inductive: Strong or Weak
  • 13. Evaluating Deductive Arguments  Two Questions: Is the argument valid, i.e., does the conclusion follow necessarily? Are the premises true?  If “Yes” to both questions, then it is a sound argument  If “No” to either or both questions, then argument is unsound.
  • 14. Evaluating Inductive Arguments  Two Questions:  Is the argument strong, i.e., does the conclusion follow with a high degree of probability?  Are the premises true, complete and relevant?  If “Yes” to both questions, then it is a cogent argument  If “No” to either or both questions, then argument is non-cogent
  • 15. Comparison Deductive Inductive Strength of Reasoning: Valid/ Invalid Strong/ Weak Premises: True/False True/False Complete Relevant Overall: Sound/ Unsound Cogent/ Uncogent
  • 16. Properties of logical systems  Among the valuable properties that logical systems can have are:  Consistency, which means that none of the theorems of the system contradict one another.  Soundness, which means that the system's rules of proof will never allow a false inference from a true premise. If a system is sound and its axioms are true then its theorems are also guaranteed to be true.  Completeness, which means that there are no true sentences in the system that cannot, at least in principle, be proved in the system.