101.school
CoursesAbout
Search...⌘K
Generate a course with AI...

    Game Theory

    Receive aemail containing the next unit.
    • Introduction to Game Theory
      • 1.1What is Game Theory?
      • 1.2History and Importance of Game Theory
      • 1.3Understanding Basic Terminology
    • Two-Person Zero-Sum Games
      • 2.1Defining Zero-Sum Games
      • 2.2Solving Simple Zero-Sum Games
      • 2.3Strategies and Dominance in Zero-Sum Games
    • Non-Zero-Sum and Cooperative Games
      • 3.1Introduction to Non-Zero-Sum Games
      • 3.2Cooperative Games and the Core
      • 3.3Bargaining & Negotiation Techniques
    • Game Theory in Business and Economics
      • 4.1Market Analysis via Game Theory
      • 4.2Strategic Moves in Business
      • 4.3Auctions and Bidding Strategies
    • Game Theory in Politics
      • 5.1Electoral Systems and Voting Strategies
      • 5.2Power and Conflict Resolution
      • 5.3Foreign Policy and International Relations
    • Psychological Game Theory
      • 6.1Perception, Belief, and Strategic Interaction
      • 6.2Emotions and Decision-Making
      • 6.3Behavioral Biases in Strategic Thinking
    • Games of Chance and Risk
      • 7.1Probability Analysis and Risk Management
      • 7.2Gambler's Fallacy
      • 7.3Risk Tolerance and Decision Making
    • Evolutionary Game Theory
      • 8.1The Origin and Motivation for Evolutionary Game Theory
      • 8.2Evolutionary Stability Strategies
      • 8.3Application of Evolutionary Game Theory
    • Games with Sequential Moves
      • 9.1Extensive Form Representation
      • 9.2Backward Induction
      • 9.3Credible Threats and Promises
    • Game Theory in Social Interactions
      • 10.1Social Rules and Norms as Games
      • 10.2Role of Reputation and Signals
      • 10.3Social Network Analysis
    • Ethics in Game Theory
      • 11.1Fairness Concepts
      • 11.2Moral Hazards and Incentives
      • 11.3Social Dilemmas and Collective Action
    • Technological Aspects of Game Theory
      • 12.1Digital Trust and Security Games
      • 12.2AI and Machine Learning in Game Theory
      • 12.3Online Marketplaces and Digital Economy
    • Applying Game Theory in Everyday Life
      • 13.1Practical Examples of Game Theory at Work
      • 13.2Thinking Strategically in Personal Decisions
      • 13.3Final Recap and Strategizing Your Life

    Evolutionary Game Theory

    Understanding Evolutionary Stable Strategies

    differential survival and reproduction of individuals due to differences in phenotype; a key mechanism of evolution

    Differential survival and reproduction of individuals due to differences in phenotype; a key mechanism of evolution.

    Evolutionary Stable Strategies (ESS) are a fundamental concept in evolutionary game theory. They provide a framework for understanding how strategies evolve and persist in populations over time.

    What is an Evolutionary Stable Strategy?

    An Evolutionary Stable Strategy is a strategy that, if adopted by a population in a game, cannot be invaded by any alternative strategy that is initially rare. It is an equilibrium refinement of the Nash Equilibrium. In simpler terms, an ESS is a strategy that, once it is established in a population, will resist change.

    Conditions for a Strategy to be an ESS

    For a strategy to be considered an ESS, it must meet two conditions:

    1. Invasion Condition: If all members of a population adopt this strategy, then no mutant strategy could invade and increase in the population under the influence of natural selection.

    2. Stability Condition: If almost all members of a population adopt this strategy, and only a small proportion adopt a different strategy, then the original strategy should do better.

    Examples of ESS in Nature and Society

    ESS has been observed in various scenarios in nature and society. Here are a few examples:

    • Animal Behavior: In certain species of lizards, males exhibit two distinct behaviors: territorial males, who guard a specific territory and mate with the females within it, and sneaker males, who do not have a territory and try to mate with females in the territories of others. These two strategies form an ESS, as a population cannot be invaded by a third strategy, and neither strategy can fully replace the other.

    • Traffic Flow: Driving on the left or right side of the road can be considered an ESS. Once a norm is established (driving on the right in the US, for example), any deviant behavior (driving on the left) is quickly eliminated because it leads to negative outcomes (accidents).

    Understanding Evolutionary Stable Strategies provides valuable insights into the dynamics of strategic interactions in various fields, from biology to economics to social sciences. By studying these strategies, we can better understand the forces that shape behavior and decision-making in complex systems.

    Test me
    Practical exercise
    Further reading

    My dude, any questions for me?

    Sign in to chat
    Next up: Application of Evolutionary Game Theory