1/29
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No study sessions yet.
Problem solving
Accomplishing a goal when the solution or path to the solution is not clear
Algorithms
Problem solving strategies (series of steps) based on set of rules
Rationality framework
The idea that humans make rational decision based on costs and benefits (logic)
Bounded rationality
Assumption humans try to make rational decisions but are bounded by cognitive limitations
Steps of typical rational framework
Define the problem
Identify necessary criteria that lets you judge different options equally
Weigh criteria (whats more important)
Generate alternative options
Rate alternatives on each criteria that you find important
Compute the optimal decision
the final decision may be biased/irrational and end up disregarding all logic that was just made
how are decisions influenced
By past experiences and biases
Mental set
a cognitive obstacle that occurs when an individual attempts to apply a routine solution to what is actually a new type of problem
Makes learning and problem solving more efficient (looking for patterns)
not helpful when a problem calls for fresh insight or a new approach
Functional fixedness
type of mental set
When an individual identifies an object or technique that could potentially solve a problem but the mind can only think of its most obvious function
Preventing us of thinking of alternative options with the objects
Heuristics
Can be called “ rule of thumbs “
problem solving strategies that stem from prior experiences and provide an educated guess as to what is the solution
What are the pros and cons of heuristics
Usually accurate and provide fast decision making
Help us make rapid judgment
Con - can lead us astray
Ex. Using what we learned from the past to make assumptions of whats right like if wifi is down, automatically resetting router
How algorithms and heuristics work together example
in hangman, we an use algorithms to start and fill then use heuristics to put together what certain words can be made once we get more information
Representative heuristics
making judgements about likelihood based on how well an example represetns a specific category
Often correct but not always
Ex. Making a judgement of what a persons major was based on their characteristics
Conjunction fallacy
assuming 2 traits are more likely than either traits on their own
Statistically impossible but we assume based on heuristics
is an example of the cons of representative heuristics and its inaccuracy sometimes
Anchoring heuristic
the first information learned about a subject can anchor a persons judgement about that subject
Subsequent judgement are related to this initial anchor point
Example of anchoring heuristic
population of sydney if its less than 8 million
8 million - anchor
Subsequent guess - 7.2 million
Population of sydney if its greater than 2 million
Anchor - 2 million
Subsequent guess - 3.7
we make assumptions/guesses based on the anchoring information we have
Example of anchoring heuristic in buying an expensive house
Lowballing, so that the person may counter a price thats similar to the lowball or at least get closer to the anchoring price
Availability heuristic
tendency to judge the probability of an event by how easy it is to think of examples or instances
Ex. After 11/11, people assume planes are more likely to crash than cars when its actually the opposite
Mean world fallacy - selling fear
advertisers ‘sell fear’ by appealing to multiple heuristics
Example of mean world fallacy in alarm systems
they advertise bad guys breaking into rich homes Despite ‘richer areas’ having lower crime rates
Bad guys - availability heuristics
Bad guys are bad - increased risk assessment
avoiding loss
people try to minimize risks and losses when making decisions
Responses to that same choice will differ based on whether outcome is framed as a gain or loss
Ex. When problem is framed as saving people, we go for the sure thing. When its framed as dying, we avoid loss to save more people
Challenges in self assessment
Bounded awareness
We are often not aware of our limits/biases and fail to notice important information When problem solving
Bounded willpower
we give greater weight to immediate concerns over long term concerns
Bounded self interest
Overreliance on intuitive responses rather than rational responses
Bounded ethicality
Ethics are limited in ways we arent even aware of ourselves
Overconfident
The bias to have greater confidence in your judgment tha is warranted based on rational asssessments
Hindsight bias
tendency to overestimate ones ability to have predicted an event once the outcome is known
Also known as the “i knew it all along” phenomenon
Common in political, medical and military judgments/decisions
Confirmation bias
favour information that confirms pre existing beliefs and ignoring evidence that contradicts it
Ex. Presidential election , we believe information that paints our favourite candidate in a positive light and dismiss information that paints them in a negative light
System 1
Our intuitive decision making system, typically fast automatic, effortless and emotional
used more often in everyday decisions
System 2
Our more deliberate decision making system, which is slower, conscious, effortful and logical
influences more important decisions
How to reduce effects of bias
By engaging more into our system 2 thoughts rather than always relying on system 1
can be difficult as people tend to default back to system 1 when in a rush and or busy
Ex. Baseball players encouraged to think about the future rather than focusing on past mistakes
Improving decision making based on the book nudge by Thaler and sustein
outlines a strategy that shows how changing environments in ways that account for human bias triggers better decisions
Nudging can encourage people to make better decisions
Ex. Company enrolling all employees in a retirement plan and giving them an opt out option instead
Ex2. Automatically be applied to organ harvesting and giving them an opt out option
What book did Thaler and sustein Write
Nudge: improving decsions about health, wealth and happiness