A Brief Introduction to Algorithms, Game Theory and Risk-Averse Decision Making

A Brief Introduction to Algorithms, Game Theory and Risk-Averse Decision Making

Simons Institute via YouTube Direct link

Intro

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1 of 27

Intro

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Classroom Contents

A Brief Introduction to Algorithms, Game Theory and Risk-Averse Decision Making

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  1. 1 Intro
  2. 2 Real-time decision making examples
  3. 3 Algorithms: the basics
  4. 4 Shortest paths example
  5. 5 Modeling the real-world
  6. 6 Graph terminology
  7. 7 Graph examples
  8. 8 Back to shortest paths
  9. 9 Dijkstra shortest path algorithm
  10. 10 (Basic) Algorithm Design Techniques
  11. 11 Algorithm running time
  12. 12 NP-Complete problems
  13. 13 Approximation algorithms
  14. 14 Traveling Salesman Problem
  15. 15 Game theory
  16. 16 Example: Inefficiency of equilibria
  17. 17 Equilibrium
  18. 18 Social Optimum
  19. 19 Price of Anarchy
  20. 20 Optimal route?
  21. 21 What is risk?
  22. 22 Risk I: Expected Utility Theory
  23. 23 Risk II: Mean-variance framework
  24. 24 Risk III: Coherent risk measures
  25. 25 Implications of risk attitudes
  26. 26 Algorithmic challenges
  27. 27 Algorithmic insights

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