KP

Module 12.1 Strategies and Payoffs Lecture

Understanding Game Theory

  • Introduction to Game Theory

    • Examines decision making where outcomes are influenced by the actions of others.

    • Important for understanding behaviors when payoffs depend on interactions between individuals.

    • Utilized in various fields, including economics and sports.

Elements of a Game

  • Players

    • Example: Steph and Tanya, roommates with shared interests.

  • Strategies

    • Complete action plans available to players.

    • Example: Each can choose to either clean the apartment or play video games.

  • Payoffs

    • Rewards for each combination of strategies.

    • Payoffs represent happiness or utility rather than just monetary value.

Payoff Matrix

  • Simultaneous Move Game

    • Players make decisions without knowledge of the other's choice.

    • This assumption helps explore less-than-ideal outcomes.

  • Payoff Example:

    Strategy / Tanya

    Play Video Games

    Clean

    Play Video Games

    (2, 2)

    (10, 0)

    Clean

    (0, 10)

    (6, 6)

  • Payoff Analysis:

    • Both play video games: payoffs of $2 each (disliked outcome - dirty apartment).

    • One cleans, one plays: the cleaner has a lower payoff (0); the player has a higher payoff (10).

    • Both clean results in highest mutual payoff of $6 each.

Dominant Strategy

  • Definition:

    • A strategy that is best for a player regardless of what the other does.

  • Analysis for Steph:

    • If Tanya plays video games, Steph’s payoffs are (2, from video games) and (0, from cleaning), supporting playing video games.

    • If Tanya cleans, Steph gets (6 from cleaning) or (10 from video games), so also chooses to play video games.

  • Similarly, analyze Tanya's decisions:

    • She finds playing video games is her best choice, regardless if Steph plays or cleans.

Dominant Strategy Equilibrium

  • Outcome:

    • Both players choosing to play video games leads to payoffs of $2 each.

    • Despite not being the optimal choice (could achieve $6 each from cleaning together), each player’s strategy keeps them in a suboptimal equilibrium.

Applications of Game Theory

  • Prisoner’s Dilemma:

    • Classic example where mutual cooperation leads to better outcomes but individual strategies lead to suboptimal results.

    • Situations include nuclear arms races and pricing strategies among competitors.

Conclusion

  • Understanding how to analyze interactions through game theory can help avoid breakdowns in rational behavior and foster cooperation among individuals.