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10) Thinking & Reasoning (SH) (Problem solving (Planning, Cognitive…
10) Thinking & Reasoning (SH)
Judgement & Decision Making
Under Risk: Losses & Gains
Normative Decision Theory
Problem: most people don't make judgements to maximise utility (idealistic)
People choose between uncertain likelihoods by contrasting expected utility values
Descriptive Decision Theories
Attempt to explain what people actually do whether rational or not
Context, interaction & environment as fundamental components
Prospect Theory
Loss/risk adverse
Problems
Social & moral issues not considered
De-emphasises individual differences (high self esteem, narcissist (high self regard; low sensitivity to punishment; high sensitivity to reward)
Reference
point
= current state (hungry VS full) +
probability
rating
= subjective (overestimated low probability events & vise versa)
= subjective utility of decision outcome
Decisions based on probability of risk (potential value of loss or gains), not consequence.
Heuristics involved
Sunk-Cost Effect
(go to concert sick?)
Investing resources; continue to pursue course even though it has proved unsuccessful
Framing Effect
Decision influenced by situational aspects (how problem is worded)
Complex Decision Making
Multi-Attribute Utility Theory
(Wright, 1984)
Complex & time consuming process of identification, weighing, rating to create total utility: especially if multiple attributes are considered
Ideal strategy
Bounded Rationality
(Simon, 1957)
Decision making bounded by environment (info) and cognitive constrains (attention)
Satisficing: rational within constraints
Elimination of aspects
Considering one attribute at a time
Heuristics & Biases
: reduce effort, quicker decisions
Representative Heuristic
: Deciding one thing belongs in a category because it appears representative of that category
Base-rates
The bias = base-rate neglect
Used when there is causal relevant information
Eg. 80% of blue cabs appear blue because faded paint means 20% of blue cabs appear green
Motivation to take note of base-rates:
Eg. health issues (10% error)
Taxi Cab Problem
(85% green, 15% blue)
Witness is correct 20% of the time
How likely was the cab blue? 41%
Conjunction Fallacy
More probable on own then the two parts of information together
The Linda Problem: The information given is representative of a bank teller & an activist
Supports dual processing
Use of a secondary task reduced performance: suggest cognitive demanding processes are involved in solving the problem
Ignoring base rates = less confident with answer
Solving Linda Problem correctly took longer: System 2 process at work
Intuitive logic: detecting conflict in their answer; unconscious processing of base rates
Base-rate processing may be a Type 1 processes?: more flexible that previously thought
Availability Heurisitc
Basing a decision on probability of an occurrence by using ease of which it comes to mind
Biases
Irretrievability of instances
Effectiveness of search set
Cognitive load experiments used to increase availability heuristic (Type 1 response)
Affect Heuristic
What you fear most is judged as most prevalent cause of death
Emotions cloud ability to judge properly
Value of heuristics
Adaptive tool box: can be very accurate
Recognition heuristic
"Cologne or Herne"
Stopping rule: discrimination between two cities
Decisions rule: make a decision
Search rule: search memory
Controversially: argued that when someone recognises one thing and not the other, then the search stops there
Yet people often consider why they recognise something (Type 2? awareness of heurisitc?)
What heuristic to use
Depends on
Likely outcome & processing demands
Individual differences: intelligence & best heuristic chosen
Nature of task and no. of heuristics available
Natural Frequency Hypothesis
Better at frequencies > fractions/% (rewrite Linda problem = drop of conjunction fallacy by 2/3rds)
However: this might make underlying structure of problem is more apparent
When this is controlled: no sig difference between frequency & probability versions
Expert Decision Making
Naturalistic Decision Making (NDM)
Value of intuitive judgement: heuristics as tools of efficiency used by expert decision makers
'Real world settings': Pilots, Doctors, Nurses, Jurors, Firefighters
Recognition Primed Decision Model (RPD)
High pressure situations = match situation to acquired patterns
Limitations
Lacks detail (situational/individual differences?)
Use of experience in the form of a catalouge of patterns
Unexpected situations: imagine an outcome
Implict: pattern matching
Explicit/deliberate: mental stimulation
Unconscious Thought Theory
Unconscious thinking is superior to conscious thinking
Integration of large amounts of info
Less contraints
Complex cases best if involve conscious & unconscious thought (Type 1 + Type 2)
Dual Process Theory
Decision-making
Selecting an option from many possibilities
Focus:
Importance
Consequences: assess quality/success of our decisions
Judgement
Focus:
Accuracy
Deciding likelihood of event using incomplete info
Thinking is the action of two systems with distinctive cognitive processes
Type 1:
fast, automatic, unconscious, implicit and effortless, context dependent, processes run in parallel
Type 2
: Slow, controlled, conscious, explicit, effortful, evidence based and demanding of working memory
Reasoning
Brain Systems
Informal Logic
Deductive Reasoning
Syllogisms
Theories (DP)
Conditional
Deductive
: Reasoning from general to specific
Are Humans Rational?
Problem solving
Planning
Cognitive misers
Heuristics
Analogical Problem Solving
Strategies
Expertise
Outside Conscious Awareness