decision making
= process of selecting a choice from all the available options
stages of decision making
- theory of natural decision making
cognitive illusions
= errors of cognition that come about for understandable reasons and that provide information relevant to understanding normal functioning –> systematic biases
- heuristics = rules of thumb; strategies that ignore part of the information with the goal of making decisions more quickly
cognitive illusions
- framing effect
cognitive illusions
- anchoring
= rely too much on an initial piece of information offered (= anchor) when making decisions
cognitive illusions
- sunk cost effects
= greater tendency to continue something once one has invested in it
- due to emotional investment, you are too invested in one ida and unwilling to quit
cognitive illusions
- illusory correlation
= seeing a relationship between variables even when there isn’t any
- typically have some prior associations in peoples’ minds
cognitive illusions
- hindsight bias
= tendency to exaggerate what could’ve been anticipated in foresight when looking back in hindsight
- once you know how a decision turned out, events leading up to outcome seem more inevitable than they really are
cognitive illusions
- confirmation bias
= only gather information consistent with prior hypothesis/information confirming previous idea
cognitive illusions
- overconfidence
= people’s impressions of own accuracy are inflated; arrogance
- fail to see need for help
cognitive illusions
- omission bias
= tendency to prefer inaction to action when engaged in risky decision making
- anticipated regret: greater when unwanted outcome caused by own actions rather than inaction
- status quo bias = decision avoidance; preference for maintaining the status quo (present state) rather than acting to change one’s decision
x action bias = don’t just sit there, do something
cognitive illusions/bounded rationality
- saitsficing
= strategy that aims for a satisfactory/adequate result, rather than the optimal solution
cognitive illusions
- fast-and-frugal heuristics
= heuristics involving rapid processing of relatively little information
- take the best, ignore the rest
x why do we have capacity of logical reasoning if we could always follow gut feelings
x more complex than suggested –> often not sufficient knowledge of validities
fast-and-frugal heuristics
- availability heuristic
= instances that are more easily thought of/accessible, stand out more in one’s mind
fast-and-frugal heuristics
- representativeness heuristic
= representatives/typical members of a category are encountered more often
fast-and-frugal heuristics
- recognition heuristic
= using knowledge, that only one out of two objects is recognised, as basis for making a judgment; selecting object that is recognised in preference to the one not recognised (recognise cologne not Herne, decide cologne is bigger)
- exploits lack of knowledge
x more complicated than assumed –> consider why they recognise and object + decide then whether to use
base rate fallacy
= cognitive error whereby too little weight is placed on the base (original) rate of possibility
base rate information = the relative frequency of an event within a given population
utility models
= we try to maximise utility (subjective value we attach to an outcome)
utility models
- expected utility theory
= trying to assess the subjective utility of certain objects
limitations of expected utility theory
x calculation of EU difficult: info about several aspects of the decision must be integrated (various factors and goals)
x only accounting for making final selection from a set of alternatives –> not making decisions with “status quo vs. make a change” option
x doesn’t describe processes by which people structure a decision (= gather info and lay out possibilities + parameters)
utility models
- multi-attribute theory (MAUT)
limitations of multi-attribute utility theory
x elimination by aspects (descriptive model): when decision makers have too much info to deal with they don’t take all dimensions into account but rather select one factor, pick a threshold value and everything that exceeds that threshold value is tossed
x Homo economicus assumed: too rational
x procedure too complex
x set of relative dimension can not always be worked out; not clearly separate from each other
descriptive models
= simply detail what people actually do when they make decisions (= actual performance); what people ACTUALLY do
descriptive models
- bounded rationality
= people are as rational as their processing limitations permit