Algorithmic Game Theory BAI405D
Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack BAI405D in one focused page.
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Module 1 Overview
Introduction to Strategic Games: What is game theory? The theory of rational choice, Strategic games; Examples: The prisoner's dilemma, Bach or Stravinsky, Matching pennies; Nash equilibrium; Examples of Nash equilibrium; Best response functions; Dominated actions.
(8 hours)
(RBT Levels: L1, L2 and L3)
Teaching-Learning Process: Chalk and talk method / PowerPoint Presentation
Module 2 Overview
Introduction; Strategic games in which players may randomize; Mixed strategy Nash equilibrium; Dominated actions; Pure equilibrium when randomization is allowed. Illustration: Expert Diagnosis; Equilibrium in a single population.
(8 hours)
(RBT Levels: L1, L2 and L3)
Teaching-Learning Process: Chalk and talk method / PowerPoint Presentation
Module 3 Overview
Extensive games with perfect information; Strategies and outcomes; Nash equilibrium; Subgame perfect equilibrium; Finding sub-game perfect equilibria of finite horizon games: Backward induction; Illustrations: The ultimatum game, Stackelberg's model of duopoly.
(8 hours)
(RBT Levels: L1, L2 and L3)
Teaching-Learning Process: Chalk and talk method / PowerPoint Presentation
Module 4 Overview
Bayesian Games, Motivational examples; General definitions; Two examples concerning information; Illustrations: Cournot's duopoly game with imperfect information, Providing a public good; Auctions: Auctions with an arbitrary distribution of valuations.
(8 hours)
(RBT Levels: L1, L2 and L3)
Teaching-Learning Process: Chalk and talk method / PowerPoint Presentation
Module 5 Overview
Competative Games: Strictly competitive games and maximization.
Repeated games: The main idea; Preferences; Repeated games; Finitely and infinitely repeated Prisoner's dilemma; Strategies in an infinitely repeated Prisoner's dilemma; Nash equilibrium of an infinitely repeated Prisoner's dilemma, Nash equilibrium payoffs of an infinitely repeated Prisoner's dilemma.
(8 hours)
(RBT Levels: L1, L2 and L3)
Teaching-Learning Process: Chalk and talk method / PowerPoint Presentation
Algorithmic Game Theory BAI405D is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.
Credits for BAI405D: 03.
Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.
Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.
Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.
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Frequently Asked Questions
What is BAI405D (Algorithmic Game Theory BAI405D)?
Algorithmic Game Theory BAI405D is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.
How many credits is BAI405D?
Credits for BAI405D: 03.
Are notes and previous year question papers available for BAI405D?
Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.
How should I prepare Algorithmic Game Theory BAI405D for VTU exams?
Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.
Is this BAI405D page updated for current VTU scheme?
Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.