Backward Induction & Subgame Perfect Nash Equilibrium Explained

Added:

Game Setup
SPNE Intro
Last Movers
Second Movers
First Move
Strategy Profile
Verify P1
Verify P2
Verify P3
Nash Confirmed

Game Setup

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Playing Section
  • 1

    Explains the extensive form game and challenges of solving it via normal form.

  • 2

    Discusses complex strategy spaces for players one, two, and three.

Understanding of extensive form games (game trees), including decision nodes, branches, information sets, and payoffs.
The fundamental concept of simultaneous vs. sequential-move games.
Familiarity with standard Nash Equilibrium (NE) and how players identify best responses.
The basic assumption of rationality, where players always seek to maximize their own payoffs.
Analyzing games of imperfect or incomplete information, moving toward Perfect Bayesian Equilibrium (PBE).
Studying repeated games (both finitely and infinitely repeated) and the Folk Theorem.
Applying SPNE to classic economic models, such as Stackelberg competition and Rubinstein's sequential bargaining.
Exploring the limitations and paradoxes of backward induction, such as in the Centipede Game or finitely repeated Prisoner's Dilemma.
68.3K views911likes19:14@selcukozyurtOriginal Release: 2020-10-29

Backward induction is a solution method for extensive form games with perfect information where we start solving from the last players and work backwards, assuming sequential rationality (players choose optimally at every subgame). This process identifies the Subgame Perfect Nash Equilibrium (SPNE), which is a Nash equilibrium that remains optimal in every subgame. To verify SPNE is indeed a Nash equilibrium, we must confirm that no player can unilaterally deviate from their equilibrium strategy and achieve a higher payoff, considering all potential deviations at each decision point.