psychology of proof Flashcards
chernobyl - (a failed) deduction
- If the experimenter continues, then the reactor must be cool
- The reactor is not cool
- Therefore?:
- The experiment must be stopped…
- But it was not stopped
what is proof
- Proof - evidence or argument establishing a fact or the truth of a statement = drawing an inference
- Other tasks related to proof:
- Explanation
- Diagnosis
- Prediction
Imagination
types of inference
· Deduction - specific inference:
- “When the Uk leaves the EU, reaching an agreement will be the easiest deal in human history” - Liam Fox, 2017. The Uk is leaving the EU in January 2020…. Therefore?
· Induction - general inference:
- ‘the Uk parliament has rejected deals negotiated between the Uk prime minister and the EU on five occasions (out of vie)’. Therefore?
· Abduction - ‘best explanation available’
- ‘the areas of the Uk that voted most highly in favour of leaving the EU have received the most money from the EU over the past 25 years’. The reason why these regions voted to leave is…..?
how does the mind undertake deduction
· E.g., ‘If the plane crashes the pilot will die’ and ‘The plane crashed’
· Structure (form) - if crash then die. Given crash, die follows
· Semantics (function) - dying as a result of a crash is possible
· Statistics (frequency) - dying as a result of a crash is possible
inference as logical reasoning
· Assumption - individuals draw conclusions from premises by applying stored rules of logic to derive a single valid inference
· Types of inference:
- Classical syllogisms - all artists are beekeepers, some beekeepers are chemists, therefore?
- Conditional inferences - if I work hard, then I will get a pay rise. I didn’t get a pay rise. Therefore?
- Transitive inferences - john is faster than mike, john is slower than bill, therefore?
structural view
· Formal logic - the use of syntactic structure (form) to determine the validity of an argument
· Piaget - stage of ‘formal operational thinking’
Braine and O’Brien (1994); Rips (1983) - natural deduction:
· Direct inferences - when “p or q” and “not p” are held in memory, then conclusion “q” follows
· Indirect inferences - when “if p then q” and “not q” are held in memory, “not p” is inferred by applying inference rules
Evidence - Wason’s selection task:
· Wason & Evans (1975)
· I have a set of cards, each with a letter on one side and a number on the other. There are four cards face down on the table, showing either a letter or a number. Select those cards, and only those cards, that will test the truth of the following rule:
· “If a card has a D on one side, then it has a 5 on the other side”
- D H 5 8
· “If a card has a B on one side, then it does not have a 7 on the other side”
- W B 7 4
Evidence - Wason’s selection task: 2
· Cheng & Holyoak (1985) - Pragmatic reasoning schemas
· You are an immigration officer, checking that your staff are applying a rule that passengers coming from areas where Cholera is epidemic have had an immunization injection. If a passenger comes from a Cholera epidemic area, it is marked on one side of their visa, and if they have had the immunization, it is marked on the other side. In front of you are four visas on the table. Which should you turn over to ensure that the staff are applying the rule correctly?
· Cholera area No Cholera Immunized Not immunized
Inference as searching for mental models:
· Johnson-Laird (1983)
· Inferences are drawn by searching mental representations for possibilities that have no counter-examples
· Construction of and search for models is constrained by
i) Principle of truth
ii) working memory capacity
· ʻIf the plane crashes the pilot diesʼ allows….
- Crash Dies
- No crash Lives
- No crash Dies
Evidence - Ormerod and Richardson (2003):
paraphrasing between different kinds of logically equivalent conditional statement
Ormerod and Richardson results:
Generation:
- C -> D = 70%
- D -> C = 55%
Evaluation:
- C -> D = 45%
- D -> C = 45%
Explaining Ormerod and Richardson (2003) results:
- generation easier than evaluation
- generation = flesh out + match against stored template
- evaluation = compare model sets
Bayes (simplified):
· Posterior probability - updated probability after the evidence is considered
· Prior probability - the probability before the evidence is considered
· Likelihood - probability of the evidence, given the belief is true
· Marginal probability - probability of the evidence, under any circumstance
Information gain (Oaksford and Chater 1994;2007):
· Information = reduction in uncertainty
· Reasoning is about expected information gain (“what if….”) à utility
· Rarity – most events/things are rare compared with the number of instances where they donʼt occur
· Example: a Ford Fiesta is a common car, but its presence is rare when compared to the times when you donʼt see one