csc304 lecture 21
play

CSC304 Lecture 21 CSC304 - Nisarg Shah 1 Complete your course - PowerPoint PPT Presentation

CSC304 Lecture 21 CSC304 - Nisarg Shah 1 Complete your course evaluations Check your e-mail for a link to your evaluations, or log-in to www.portal.utoronto.ca and click the Course Evals tab! REVIEW (Of most concepts) CSC304 - Nisarg Shah


  1. CSC304 Lecture 21 CSC304 - Nisarg Shah 1

  2. Complete your course evaluations… Check your e-mail for a link to your evaluations, or log-in to www.portal.utoronto.ca and click the Course Evals tab!

  3. REVIEW (Of most concepts) CSC304 - Nisarg Shah 3

  4. Part I: Game Theory • Normal (matrix) form games • Strategies: pure & mixed • Weak/strict dominance ➢ Strategy A dominates strategy B ➢ Iterated elimination of dominated strategy ➢ Strategy A is dominant • Nash equilibrium: pure and mixed ➢ Nash’s theorem CSC304 - Nisarg Shah 4

  5. Part I: Game Theory • Price of anarchy and stability ➢ Anarchy: Worst NE vs social optimum ➢ Stability: Best NE vs social optimum ➢ PoA ≥ PoS ≥ 1 • Potential functions ➢ Cost-sharing games ➢ Braess ’ paradox • Zero-sum games ➢ The minimax theorem • Stackelberg games, Stackelberg equilibrium CSC304 - Nisarg Shah 5

  6. Part II: Mech Design w/ Money • Goals: social welfare or revenue • Incentive guarantees: ➢ Dominant strategy incentive compatibility (DSIC) ➢ Bayes-Nash incentive compatibility (BNIC) • VCG mechanism ➢ DSIC + maximizes social welfare on every instance ➢ Sponsored search, comparison to GSP • Myerson’s auction ➢ BNIC + maximizes expected revenue among all BNIC mechanisms CSC304 - Nisarg Shah 6

  7. Part II: Mech Design w/ Money • Revelation principle • Revenue equivalence principle • 1 st price auction and its equilibrium • Ascending auction CSC304 - Nisarg Shah 7

  8. Part III: Mech Design w/o Money • Facility location • Social cost ➢ The median mechanism • Maximum cost ➢ The left-right-middle mechanism • Stable matching ➢ Gale-Shapley deferred acceptance algorithm CSC304 - Nisarg Shah 8

  9. Part IV: Voting • Ranked voting • Voting rules • Gibbard-Satterthwaite theorem • Axiomatic approach to voting ➢ Strategyproofness ➢ Strong / weak monotonicity ➢ Consistency ➢ Condorcet consistency • Impartial selection CSC304 - Nisarg Shah 9

  10. Part V: Fair Division • Cake-cutting ➢ Proportionality and envy-freeness ➢ Robertson-Webb model • 2-players ➢ Cut-and-choose • 3+ players proportional ➢ Dubins-Spanier protocol ➢ Even-Paz protocol • Pareto optimality • Strategyproofness via perfect partition CSC304 - Nisarg Shah 10

  11. Part V: Fair Division • Indivisible goods ➢ Envy-freeness up to one good ➢ Maximum Nash Welfare allocation • Computational resource allocation ➢ Dominant Resource Fairness (DRF) • Classroom allocation ➢ The leximin mechanism • Rent division ➢ Utilitarian allocation CSC304 - Nisarg Shah 11

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend