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An Introduction to... Evolutionary Game Theory. By Jin Xiao, Jeff Thomas, Jeff Westwell. How would game theory view this?. What will we discuss?. Brief History of Game Theory Payoff Matrix Types of Games Basic Strategies Evolutionary Concepts Limitations and Problems.

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an introduction to evolutionary game theory
An Introduction to... Evolutionary Game Theory

By Jin Xiao,Jeff Thomas,Jeff Westwell

what will we discuss
What will we discuss?
  • Brief History of Game Theory
  • Payoff Matrix
  • Types of Games
  • Basic Strategies
  • Evolutionary Concepts
  • Limitations and Problems
brief history of game theory
Brief History of Game Theory
  • 1913 - E. Zermelo provided thefirst theorem of game theory

asserts that chess is strictly determined

  • 1928 - John von Neumann proved theminimax theorem
  • 1944 - John von Neumann / Oskar Morgenstern’s wrote

"Theory of Games and Economic Behavior”

  • 1950-1953, John Nash describesNash equilibrium
  • 1972 - John Maynard Smith wrote

“Game Theory and TheEvolution of Fighting”

rationality
Rationality

Assumptions:

  • humans are rational beings
  • humans always seek the best alternative in a set of possible choices

Why assume rationality?

  • narrow down the range of possibilities
  • predictability
utility theory
Utility Theory

Utility Theory based on:

  • rationality
  • maximization of utility

It is a quantification of a person\'s preferences with respect to certain objects.

what is game theory
What is Game Theory?

Game theory is a study of how to mathematically determine the best strategy for given conditions in order to optimize the outcome

game theory
Game Theory
  • Finding acceptable, if not optimal, strategies in conflict situations.
  • Abstraction of real complex situation
  • Game theory is highly mathematical
  • Game theory assumes all human interactions can be understood and navigated by presumptions.
why is game theory important
Why is game theory important?
  • All intelligent beings make decisions all the time.
  • AI needs to perform these tasks as a result.
  • Helps us to analyze situations more rationally and formulate an acceptable alternative with respect to circumstance.
the payoff matrix

Player #2

Moriarty

Strategy #1

Strategy #2

Canterbury

Dover

Player #1

0

50

Strategy #1

Canterbury

Payoff (1,1)

Payoff (1,2)

Holmes

0

100

Dover

Strategy #2

Payoff (2,1)

Payoff (2,2)

The Payoff Matrix
types of games
Types of Games
  • Sequential vs. Simultaneous moves
  • Single Play vs. Iterated
  • Zero vs. non-zero sum
  • Perfect vs. Imperfect information
  • Cooperative vs. conflict
zero sum games
Zero-Sum Games
  • The sum of the payoffs remains constant during the course of the game.
  • Two sides in conflict
  • Being well informed always helps a player
non zero sum game
Non-zero Sum Game
  • The sum of payoffs is not constant during the course of game play.
  • Players may co-operate or compete
  • Being well informed may harm a player.
games of perfect information
Games of Perfect Information
  • The information concerning an opponent’s move is well known in advance.
  • All sequential move games are of this type.
imperfect information
Imperfect Information
  • Partial or no information concerning the opponent is given in advance to the player’s decision.
  • Imperfect information may be diminished over time if the same game with the same opponent is to be repeated.
key area of interest
Key Area of Interest
  • chance
  • strategy

Imperfect

Information

Non-zero

Sum

slide18

Prisoner’s Dilemma

Prisoner 2

Blame

Don\'t

Blame

10 , 10

0 , 20

Prisoner 1

Don\'t

20 , 0

1 , 1

games of conflict
Games of Conflict
  • Two sides competing against each other
  • Usually caused by complete lack of information about the opponent or the game
  • Characteristic of zero-sum games
games of co operation
Games of Co-operation

Players may improve payoff through

  • communicating
  • forming binding coalitions & agreements
  • do not apply to zero-sum games

Prisoner’s Dilemma

with Cooperation

prisoner s dilemma with iteration
Prisoner’s Dilemma with Iteration
  • Infinite number of iterations
    • Fear of retaliation
  • Fixed number of iteration
    • Domino effect
basic strategies
Basic Strategies

1. Plan ahead and look back

2. Use a dominating strategy if possible

3. Eliminate any dominated strategies

4. Look for any equilibrium

5. Mix up the strategies

plan ahead and look back
Plan ahead and look back

Opponent

Strategy 1

Strategy 2

Strategy 1

150

1000

You

Strategy 2

25

- 10

if you have a dominating strategy use it

Use strategy 1

If you have a Dominating strategy, use it

Opponent

Strategy 1

Strategy 2

Strategy 1

150

1000

You

Strategy 2

25

- 10

eliminate any dominated strategy

Eliminate strategy 2 as it’s dominated by strategy 1

Eliminate any Dominated strategy

Opponent

Strategy 1

Strategy 2

Strategy 1

150

1000

You

Strategy 2

25

- 10

Strategy 3

160

-15

look for any equilibrium
Look for any equilibrium
  • Dominating Equilibrium
  • Minimax Equilibrium
  • Nash Equilibrium
maximin minimax equilibrium
Maximin & Minimax Equilibrium
  • Minimax - to minimize the maximum loss (defensive)
  • Maximin - to maximize the minimum gain (offensive)
  • Minimax = Maximin
maximin minimax equilibrium strategies
Maximin & Minimax Equilibrium Strategies

Opponent

Strategy 1

Strategy 2

Min

150

Strategy 1

150

1000

You

Strategy 2

25

- 10

- 10

Strategy 3

160

-15

-15

Max

160

1000

definition nash equilibrium
Definition: Nash Equilibrium

“If there is a set of strategies with the property that no player can benefit by changing her strategy while the other players keep their strategies unchanged, then that set of strategies and the corresponding payoffs constitute the Nash Equilibrium. “

Source: http://www.lebow.drexel.edu/economics/mccain/game/game.html

is this a nash equilibrium
Is this a Nash Equilibrium?

Opponent

Strategy 1

Strategy 2

Min

150

Strategy 1

150

1000

You

Strategy 2

25

- 10

- 10

Strategy 3

160

-15

-15

Max

160

1000

slide31

Boxed Pigs Example

Cost to press button = 2 units

When button is pressed, food given = 10 units

slide32

Decisions, decisions...

Little Pig

Press

Wait

Press

5 , 1

4 , 4

Big

Pig

Wait

9 , -1

0 , 0

mixed strategy
Mixed Strategy

Safe 1

Safe 2

$10,000

Safe 1

$ 0

$100,000

$ 0

Safe 2

evolutionary game theory
Evolutionary Game Theory
  • Natural selection replaces rational behavior
  • Survival of the fittest
  • Why use evolution to determine a strategy?
evolutionary stable strategy
Evolutionary Stable Strategy
  • Introduced by Maynard Smith and Price (1973)
  • Strategy becomes stable throughout the population
  • Mutations becoming ineffective
slide38

2

2

10

0

0

10

-5

-5

Hawk

Dove

Dove

Hawk

slide40

2

2

10

0

0

10

-5

-5

Hawk

Dove

Dove

Hawk

where is game theory currently used
Where is game theory currently used?
  • Ecology
  • Networks
  • Economics
limitations problems
Limitations & Problems
  • Assumes players always maximize their outcomes
  • Some outcomes are difficult to provide a utility for
  • Not all of the payoffs can be quantified
  • Not applicable to all problems
indiana jones scenario
Indiana Jones Scenario

Incorrect

Grail

Correct

Grail

Indiana tests water

before giving it to Father

1

-2

-1

Indiana Doesn\'t Test Water

1

summary
Summary
  • What is game theory?
    • Abstraction modeling multi-person interactions
  • How is game theory applied?
    • Payoff matrix contains each person’s utilities for various strategies
  • Who uses game theory?
    • Economists, Ecologists, Network people,...
  • How is this related to AI?
    • Provides a method to simulate a thinkingagent
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