Deductive Reasoning in the beginning then middle of powerpoint Flashcards
Describe relationship. between 2 categories using “all” “no” or “some”
Premise 1: All birds are animals
Premise 2: All animals eat food
Conclusion: Therefore, all birds eat food
Categorical Syllogism
Syllogism is valid if conclusion follows LOGICALLY from it 2 premises
is it logical or true…..?
Categorical Syllogism: Validity and Truth
If p, then q. (if it is sunny, then i will go picnic)
p(sunny): antecedent
q(go picnic): consequent
If it is sunny, then i will go picnic
It was sunny. or. I didn’t go picnic
Therefore, it I went picnic. or. it was not sunny
Conditional Syllogism
To test a rule, you must look for situations that falsify the rule
- most people fail to do this
- when problem is stated in concrete everyday terms, correct responses greatly increase
Falsification Principle
p, therefore q
Affirming Antecedent
~q, therefore ~p
denying consequent
If a card has a vowel (p) on one side, it has an even (q) number on the other side
WASON 4-card problem
Wason Four-Card Problem: Role of Regulation
If a person is drinking beer, they had better be older than 21
~INDUCTIVE REASONING~
Premises are based on OBSERVATIONS
We GENERALIZE from these cases to more general conclusions with varying degrees of certainty
Conclusions (arguments) are SUGGESTIVE
Nature of Inductive Reasoning
~INDUCTIVE REASONING~
Strengths of Arguments???
REPRESENTATIVENESS of Observations
NUMBER of Observations
QUALITY OF EVIDENCE
~JUDGEMENT~ • Availability Heuristics •Representativeness Heuristics • Attribute Substitution • Anchoring and adjustment
Strategies of System 1 (Intuitive)
items that can be easily retrieved from memory are judged to occur more often (ex. choose road trip instead of flight)
Available Heuristics
Impossible to retrieve all occurrences and non-occurrences of A, so availability also used for probability judgments
Probability P(A)=A/(A+notA)
The probability that A comes from B can be determined by how well A resembles properties of B
- Assumption
- Recall FAMILY RESEMBLANCE THEORY
Representativeness Heuristics
Each member of a category is representative of that category
Assumption
Representativeness heuristics can result in wrongful judgments by ignoring: (3 things)
Base Rate, Prior Probability, Conjunction Rule
people tend to selectively look for information that conforms to their hypothesis and overlook information that argues against it
Confirmation Bias
Describe how people SHOULD behave
Assumes PEOPLE MAKE RATIONAL DECISIONS that maximize the EXPECTED VALUE of outcomes
Normative approach to decision making
EV= £[P1V1]
EXPECTED VALUE
Describe how people ACTUALLY behave
Assumes PEOPLE ARE NOT RATIONAL (they don’t maximize expected ‘Value’)
Utility Theory
Descriptive approach to decision making
Outcomes that are desirable because they are in the persons best interest
Utility
EU=£[PiVi]
Expected Utility
Utility determined by changes from current state
Framing effects
Steeper for losses than gains
Loss aversion
Concave for gains and convex for losses (S-shaped)
Risk averse for gains, risk seeking for losses)
People tend to be influenced by the manner in which identical choices are presented or framed
Framing Effect