Final Flashcards
Affect programs - def
Biological core to emotions (modular)
4 features of affect programs
- Trigger/stimulus - eg spider
- Behavioral response - eg flight
- Physiological response - eg high heartrate
- Characteristic phenomenology - eg feeling = fear
Modularity of affect programs
Domain specificity (eg not afraid of hippos or disgusted by handshake)
Mandatoriness (eg can’t not be scared by picture of tarantula, not be disgusted by fudge that looks like poop)
Functional analyses
Like zebra stripes deter biting flies - what evolutionary purpose does something serve? Work backwards from function of a trait
Functional analysis application to fear and disgust
Disgust reduces exposure to pathogens and fear evades immediate danger
Social emotions (guilt, rage, love)
Solve self-interest model
Self-interest model: short vs long term
“People will always act efficiently according to self-interest” but varies short and long term (eg moral anger beneficial in long- but not short-term)
Commitment problem
Why would we do anything knowing that it’s in everyone’s best interest to act selfishly?
Frank: why do we have retaliatory emotions?
They are directed at long-term interests (eg. don’t mess with me!)
Expected value theory
Each objective value * probability of each option
Limitations of expected value theory
Seems counterintuitive bc subjectively, people value things differently (e.g. diff between $0 and $1M compared to $1M and $2M)
Expected utility theory and how it solves problems from EVT
Assign “utils” instead of units to look at subjective utility
Calculate expected value and expected utility
EV: each item’s objective value * probability
EU: each item’s utility * probability
Diminishing marginal utility
Things get less useful as more are gained
Axiom of independence
If you prefer A to B, this preference should remain independent of other alternatives or probabilities that are introduced
Allais paradox
Individuals rarely make consistent, rational decisions immediately
Certainty effect
We overweight certainty and love it
Weighting function for probability
People overweight small probabilities
Loss aversion
Stingier with what we’re willing to lose
Framing
How problems are presented impacts our view of them, even when they are the same underlying problem
Standard view of rationality
Rationality follows principles like math and science - very exact
Representativeness: meaning & studies
Linda (bank teller and feminist?) example
Availability: meaning & studies
Easier to think of examples of R in first place than third
Anchoring: meaning & studies
Respondents with higher SSN than gave a higher price for a bottle of wind