All Flashcards
Marr’s Levels of Analysis
Computation: what problem does cognition solve?
Algorithm: what processing steps does it follow?
Implementation: how is this physically carried out?
How do we measure similarity?
- confusability
- reaction time
- forced choice
- likert scales
Universal Law of Generalisation
The probability of generalising from one stimulus to another decreases exponentially as a function of dissimilarity.
Goldstone 1994 study
- more MOPs increased similarity
- more MIPs increased similarity
- MIPs increased similarity more than MOPs
Hodgetts and Hahn 2012 study
Found that square-triangle to square-square is 1 transformation, but other direction is two.
Deductive reasoning
Using facts to reach a logically certain conclusion
Inductive reasoning
Using facts to reach a plausible conclusion (but with room for doubt)
Valid outcomes of deductive reasoning
- Modus ponens: valid argument by affirming the antecedent
- Modus tollens: valid argument by denying the consequent
Invalid outcomes of deductive reasoning
- Affirming the consequent
- Denying the antecedent
Wason selection task
Rule: if there’s an R on one side, there’s a 2 on the other. Which cards do u flip?
- Most people will flip R and 2, which are both affirmatory arguments (modus ponens and affirming the consequent).
- They should flip R and 7 (modus ponens and modus tollens)
Indicative vs Deontic Arguments
Indicative: if this, then that.
Deontic: if this, then you should that.
People much better at checking the right things when it’s a Deontic argument
Features of indicative arguments
- premise diversity (ppl accept conclusion if premise is dissimilar)
- premise-conclusion similarity (ppl accept conclusion if it is similar to premise)
- premise monotonicity (ppl accept conclusion if there are more examples)
- premise non-monotonicity (more examples makes argument weaker)
Logical fallacies
- arguments from ignorance (better if in an epistemically closed system)
- circular reasoning (better if alternative is not very plausible)
- affirming consequent
- denying antecedent
Hahn and Oaksford 2007 study
Found that circular arguments were found to be more believable when the alternative was less plausible.
Social cognition and premise montonicity
- when world generates data, similarity between premises is irrelevant and ppl revert to premise monotonicity
- when human makes argument, similarity between premises is relevant and therefore non-monotonicity will appear
Ransom, Perfors and Navarro study
Limitations: limited range of arguments and phenomena.
Results: premise non-monotonicity when relevant-relevant, neutral-relevant and neutral-random (in decreasing order), premise monotonicity when random-random
Cognitive penetrability
The notion that perception can be influenced by knowledge, motivations or beliefs (New Look movement)
New Look Movement
Bruner and Goodman: children estimated size of coins to be larger than identically sized discs
Proffitt et al: heavy backpacks make distances look further
Bhalla and Proffitt: tired people perceive slopes to be steeper
Things we want look closer than things we dong