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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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.
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About Algorithmic Game Theory (BAI405D)
Algorithmic Game Theory (BAI405D) is a critical course in the VTU curriculum, essential for any student looking to master the foundations of engineering. It covers key theoretical frameworks and practical concepts that are widely used in the industry today, ensuring students are well-prepared for both exams and their future careers.
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