Module 12.2 Nash Equilibrium Lecture
Overview of Game Theory Concepts
Dominant Strategy: A strategy that is the best response regardless of what the other player does.
Example: In the prisoner's dilemma, both players have a dominant strategy of not cooperating.
Brianna and Carlos Study Game
Players: Brianna and Carlos.
Strategies: Each player can either study or slack off during the week, then work together on weekends.
Payoff Matrix
If both study: Payoff = 4 (Brianna), 4 (Carlos)
If Brianna studies, Carlos slacks off: Payoff = 3 (Brianna), 5 (Carlos)
Carlos benefits from Brianna’s efforts, having slacked off during the week.
If Brianna slacks off, Carlos studies: Payoff = 5 (Brianna), 3 (Carlos)
Same reasoning as above, benefits from Brianna’s knowledge.
If both slack off: Payoff = -2 (Brianna), -2 (Carlos)
They will fail the exam, leading to a negative payoff.
Evaluating Best Responses
Brianna assesses her best responses:
If Carlos studies: Payoff = 5 (slacking off) vs. 4 (studying)
Best response: Slack off
If Carlos slacks off: Payoff = 3 (studying) vs. -2 (slacking off)
Best response: Study
Conclusion on Dominant Strategy:
Brianna does not have a dominant strategy; her best response depends on Carlos's action.
Nash Equilibrium
Definition: A set of strategies where no player has an incentive to change their choice, being the best response to each other's choices.
In this game:
If Brianna studies and Carlos slacks off: neither player wants to change their action.
Conversely, Carlos will choose to slack off if Brianna studies.
Both have incentives that align with each other’s strategies.
Potential Outcomes:
Two Nash equilibria are possible:
Brianna studies, Carlos slacks off.
Brianna slacks off, Carlos studies.
Real-World Implications
Determination of who studies and who slacks off may be influenced by contextual factors beyond the payoff matrix.
Examples include intimidation, motivation, or social dynamics in varying real-world scenarios.
More Complex Games
Some games may not have Nash equilibria, leading players to constantly change their strategies in response to one another.
More advanced game theory courses can delve deeper into strategies where equilibrium does not exist, requiring more complex calculations.