Introduction to Philosophy Lecture 6 Pascal - PowerPoint PPT Presentation

1 / 14
About This Presentation
Title:

Introduction to Philosophy Lecture 6 Pascal

Description:

Introduction to Philosophy Lecture 6 Pascal s wager By David Kelsey Pascal Blaise Pascal lived from 1623-1662. He was a famous mathematician and a gambler. – PowerPoint PPT presentation

Number of Views:121
Avg rating:3.0/5.0
Slides: 15
Provided by: DavidK272
Category:

less

Transcript and Presenter's Notes

Title: Introduction to Philosophy Lecture 6 Pascal


1
Introduction to PhilosophyLecture 6Pascals
wager
  • By David Kelsey

2
Pascal
  • Blaise Pascal lived from 1623-1662.
  • He was a famous mathematician and a gambler.
  • He invented the theory of probability.

3
Probability anddecision theory
  • Pascal thinks that we cant know for sure whether
    God exists.
  • Decision theory used to study how to make
    decisions under uncertainty, I.e. when you dont
    know what will happen.
  • Lakers or Knicks
  • Rain coat
  • Rule for action when making a decision under a
    time of uncertainty always perform that action
    that has the highest expected utility!

4
Expected Utility
  • The expected utility for any action the payoff
    you can expect to gain on each attempt if you
    continued to make attempts...
  • It is the average gain or loss per attempt.
  • The payoff or value of an outcome what is to be
    gained or lost if that outcome occurs.
  • To compute the expected value of an action
  • ((The prob. of a success) x (The payoff of
    success)) ((the prob. of a loss) x (the payoff
    of a loss))
  • Which game would you play?
  • The Big 12 pay 1 to roll two dice.
  • Lucky 7 pay 1 to roll two dice.
  • E.V. of Big 12
  • E.V. of Lucky 7

5
Payoff matrices
  • Gamble Part of the idea of decision theory is
    that you can think of any decision under
    uncertainty as a kind of gamble.
  • Payoff Matrix used to represent a scenario in
    which you have to make a decision under
    uncertainty.
  • On the left our alternative courses of action.
  • At the top the outcomes.
  • Next to each outcome add the probability that it
    will occur.
  • Under each outcome the payoff for that outcome
  • Calling a coin flip
  • If you win it you get a quarter and if you lose
    it you lose a quarter.
  • The coin comes up heads
    ___ It comes up tails ___
  • You call heads ___
    ___
  • You call tails ___
    ___

6
The Expected Utility of the coin flip
  • So when making a decision under a time of
    uncertainty construct a payoff matrix
  • Which action
  • Perform the action with the highest expected
    utility!
  • To compute the expected value of an action
  • ((The prob. of a success) x (The payoff of
    success)) ((the prob. of a loss) x (the payoff
    of a loss))
  • For our coin tossing example
  • The EU of calling head
  • The EU of calling tails
  • Choose either action

7
Taking the umbrellato work
  • Do you take an umbrella to work? You live in
    Seattle. There is a 50 chance it will rain.
  • Taking the Umbrella a bit of a pain. You will
    have to carry it around.
  • Payoff -5.
  • If it does rain you dont have the umbrella
    you will get soaked
  • payoff of -50.
  • If it doesnt rain then you dont have to lug it
    around
  • payoff of 10.
  • It rains
    (___) It doesnt rain (___)
  • Take umbrella ___
    ___
  • Dont take umbrella ___
    ___
  • EU (take umbrella)
  • EU (dont take umbrella)
  • Take the umbrella to work!

8
Pascals wager
  • Choosing to believe in God Pascal thinks that
    choosing whether to believe in God is like
    choosing whether to take an umbrella to work in
    Seattle.
  • It is a decision made under a time of
    uncertainty
  • But We can estimate the payoffs
  • Believing in God is a bit of pain whether or not
    he exists
  • An infinite Reward
  • Infinite Punishment

9
Pascals payoff matrix
  • God exists (___)
    God doesnt exist (___)
  • Believe ____
    ____
  • Dont believe ____
    ____
  • Assigning a probability to Gods existence
  • A bit tricky since we dont know.
  • For Pascal
  • since we dont know if God exists we know the
    probability of his existence is greater than 0.
  • EU (believe)
  • EU (dont believe)
  • Believe in God

10
Pascals argument
  • Pascals argument
  • 1. You can either believe in God or not believe
    in God.
  • 2. Believing in God has greater EU than
    disbelieving in God.
  • 3. You should perform whatever action has the
    greatest EU.
  • 4. Thus, you should believe in God.

11
Denying premise 1
  • The first move
  • Can you choose to believe?
  • The second move
  • Would God reward selfish believers?

12
Denying premise 2
  • Deny premise 2
  • Infinite payoffs make no sense
  • Can we even assign a non-zero probability to
    Gods existence?

13
The Many Gods objection
  • We could Deny premise 2 in another way
  • Many Gods the Perverse Master

14
The Perverse Master
  • The new payoff matrix
  • God exists (__) Perverse
    Master exists (__) Neither exists (___)
  • Believe _____
    _____ ___
  • Dont Believe _____
    _____ ___
  • Disbelief seems no worse off than belief
  • EU (believe)
  • EU (dont believe)
  • Is it less likely that the perverse Master exists
    than does God?
Write a Comment
User Comments (0)
About PowerShow.com