B.E. (Artificial Intelligence and Data Science) Game Theory for Data Science Lab Syllabus - Mumbai University
This is the Fourth Year BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01817 and 1T01818. The first and second years of the degree are on NEP 2020.
Loading syllabus...
Syllabus for Game Theory for Data Science Lab
List of Experiments
- 1 Prisoners dilemma
- 2 Pure Strategy Nash Equilibrium
- 3 Extensive Form – Graphs and Trees, Game Trees
- 4 Strategic Form – Elimination of dominant strategy
- 5 Minimax theorem, minimax strategies
- 6 Perfect information games: trees, players assigned to nodes, payoffs, backward Induction, subgame perfect equilibrium,
- 7 Imperfect-information games – Mixed Strategy Nash Equilibrium – Finding mixed-strategy Nash equilibria for zero sum games, mixed versus behavioral strategies.
- 8 Repeated Games
- 9 Bayesian Nash equilibrium
- 10 Implementation of any game for example Tic Tac To , coloring triangle , water jug , 8 queen , 8 puzzle etc (this should be done in group of 3-4 )
Text Books
- 1 An Introduction to Game Theory by Martin J. Osborne
- 2 M. J. Osborne, An Introduction to Game Theory. Oxford University Press, 2004.
References
- 1 M. Machler, E. Solan, S. Zamir, Game Theory, Cambridge University Press, 2013.
- 2 N. Nisan, T. Roughgarden, E. Tardos, and V. V. Vazirani (Editors), Algorithmic Game Theory. Cambridge University Press, 2007.
- 3 A.Dixit and S. Skeath, Games of Strategy, Second Edition. W W Norton & Co Inc, 2004.
- 4 YoavShoham, Kevin Leyton-Brown, Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press 2008.
- 5 Zhu Han, DusitNiyato, WalidSaad, TamerBasar and Are Hjorungnes, "Game Theory in Wireless and Communication Networks", Cambridge University Press, 2012.
- 6 Y.Narahari, "Game Theory and Mechanism Design", IISC Press, World Scientific.
Digital Material
- 1 https://nptel.ac.in/courses/110104063
- 2 https://onlinecourses.nptel.ac.in/noc19_ge32/preview
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.12 (N), under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording, module numbering and hours are as printed in that syllabus.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.