Rational Choice Theory Flashcards

1
Q

Irrational Thinking

A

Impulsive
Emotional
No control over themselves

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2
Q

Basic Principles

A

All behaviour- apart from reflexes/ involuntary physio responses- all interesting actions- based on decisons

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3
Q

Rationality (Decision Theorists)

A

means: making a choice that is best for decision maker given circumstances/ preferences

if thirsty, buy £1.50 drink etc

making choice that aligns with yourself

choosing right option to achieve preferred result

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4
Q

Decisions

A

Deliberate Actions

Choosing between atleast two alternatives

If only one decision, doing nothing- alternative

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5
Q

Normative Theory

A

Descriptions of how someone SHOULD behave or choose if rational

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6
Q

Positive/Descriptive Theory

A

How people ACTUALLY choose in practice

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7
Q

Risk/ Uncertainty

A

Decision making under risk- knowing possible outcomes- some ability to estimate probabilities

Under uncertainty- lack of information- cannot assign probability to outcome. Decision process - more complex/ less predictable

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8
Q

History

A

Early thinking- Jeremy Bentham 1738- 1832

Utilitarianism- later, John Stuart Mill

Theory of development- economists

Expected utility theory- Neumann and Morgenstern 1947

Psychological theory

Decision Scientists

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9
Q

Maths- Probability of Conjunction

A

Probablity- ranges 0 (nothing) to 1 (certain)
Making a decision, the probability of all outcomes must = 1 (add up to)

Probab. of Conjunction- prob of two independent events- if one happens wont effect likelihood of the other = pq (p x q)

  • e.g head coin toss, p= 0.5. to get a six = 1/6= q = 0.167.
  • Conjunction of getting both heads and a three- pq= 0.5 x 0.167= 0.083

MULTIPLY
INDEPENDENT EVENTS

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10
Q

Maths- Probability of Disjunction

A

Prob. of two mutually exclusive events happening
- one or the other. cant happen at the same time

ADD probabilities up

p + q or p + q + r so on

for event of either 5 or 6 on the dice, p = 0.167 + 0.167= 0.333

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11
Q

Expected Value Theory

A

Gamble- draw a named card from deck- get 120£ if correct- e.g pick 4 of spades

Theory- what is expected value with mutually exclusive outcomes

Expected- means AVERAGE if we play over and over, whats expected value likely to be

Must include calculating all possibilities

Two outcomes- get gamble or not

EV (G amble) = prob of getting 4spades (1/52 x £120) + (51/52 x £0) = £2.31

expected value of playing that gamble- expected payoff- what you would earn on average if played multiple times over/over

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12
Q

Rational People/ EV

A

Rational people gamble and buy insurance
- altho they shld know- EV of buying must be less than cost
-if it wasn’t- companies wldnt make profit - they’re gambling on you buying and not needing

EV- shld be negative- yet we still buy it- reduce uncertainty

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13
Q

St Petersburg Paradox

A

Daniel Bernoulli 1738- exploded idea- not always rational to maximise EV

Coin toss- if win, get £1- game over
If lose, get another toss- payoff doubles- if win, take increased double- keep getting tails- keep double

Payoff doubles, each toss- if House has unlim £ - what is ev of game?

EV= 1/2 + 1/2 + 1/2 … = £INFINITY - if house has unlimited funds

To maximise EV- you should always play game- no matter the entry cost- because infinity always higher than entry cost

most ppl put £10 to play game- 50% chance u lose it all for £1 on first toss- heads
Balanced by small prob of winning fortune if theres. long string of tails

-irrational- led to development of expected utility theory

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14
Q

Expected Utility Maximisation

A

Bernoulli- not always maximising value- but maximising,
Utility- value to us of things as well as literal value- money

presents idea: Utility function— graph- as monetary value goes up, the utility of it goes up- but not at same rate- at a decreasing rate

£10 might give u ten in Utility but £20 wont give you twenty in utility- not doubled- slow decreasing slope- MARGINAL UTILITY

We dont try to maximise value- maximise utility to ourselves- not always the same thing

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15
Q

Subjective Expected Utility Theory

A

Von Neuman & Morgenstern

realised, formalised as mathematical approach
subjective means we calculate the likelihoods and possiblilites
dont know them but we have a way of gauging them

EU theory says we maximise
formalisation of what utility is- interval scale- have nothing- arbitary nature- more is more than less
maximise utility over value

EU = p1u1 + p2u2+ …
must include all possibilites that something can happen

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16
Q

Applications of Subjective to decisions

A

How to apply subjective expected utility to everyday decisions

Leonard Jimmy Savage 1954/72
-provides examples of how we do that on everyday decisions using subjective prob. from formalised theory

Imagine fav jumper worth 30£- if rained on- ruined- cant ever wear- value a lot

Decision- to take umbrella around- cost of -5 UTILITY SCALE
but comes with disutility cost- reduces utility- pain in the ass- lost a lot on trains

-protects jumper but cost

plug in subjective prob- imagine .2 prob of rain

We know prob- so make decision using payoff matrix

17
Q

Payoff Matrix

A

2x2 payoff matrix:

Decision. | Rain Fine. Utility all cases- negative- expect no rain
Carry. | -5 -5. If carry inconvenience is same in both scenarios
Don’t Carry | -30 0 If you dont carry you lose 30 utility- rain

Prob. Rain. Fine
.20 .80

(SEU)- sub expected util- Carry= (.2 x -5) + (.8 x -5) = —1 + —4 =. —5
(SEU)- Don’t Carry=. (.2. x. -30) +. (.80. x 0 ) = -6 = 0 = —6

-Most rational decision- according to decision theory- you should choose TO carry the umbrella

-rational according to subjective utility theory

18
Q

Expected Utility Theory- Problems

A
  1. Allais Paradox
  2. Newcomb’s Problem
  3. Intertemporal Choice
  4. Monty Hall Problem
19
Q

Allais Paradox

A

Maurice Allais- nobel prize

Gamble
A- wld u prefer £1m flat , or
B- .89 prob of £1m
.10 prob of £5m
.01 prob of £0

C- .11 prob of £1m
.89 prob of £0
D- .10 prob of 5m
.90 prob of 0£

Most ppl prefer A to B - bc of certainty effect- no risk
but most ppl D to C - chances r very similar but the prize is larger in D

A and B - are identical

20
Q

Independence Assumption

A

Irrelevant alternatives shouldnt affect decision making

bc irrelevnt

Allais paradox challenges that bc it shows when certainty is played into this it does affect peoples choices

  • ppl really robust- cant ignore irrelevant informatio
  • utility cant explain reversal of preferences
21
Q

Transitivity Assumption

A

If somebody prefers one thing to another

Chocolate over vanilla, vanilla to strawberry

Should prefer chocolate over strawberry too

Preferences should always be complete- shld know what they prefer even if they cant express preference

22
Q

Newcomb’s Problem (a)

A

Philosophical problem- Robert Nozick

2 boxes on table
one you can see- has a Grand in
One you cant see inside

Can choose to either take both boxes- or just box u cant see inside

AI system- good at predicting behaviour- already predicted what u will take
If predicted that u only choose opaque box- will put 1mil in

If predict u choose both- puts nothing in it
Wld u take both or only opaque box?

23
Q

Newcomb’s Problem (b)

A

Why does this matter?

two solutions both rational

ExpecValueTheory- says to take opaque box- predictor 95% correct

EV (A- BOTH) = .95 X £1000 + .05 X £1,001,000 = £51,000

1HR 6 MIN