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CS344M Autonomous Multiagent Systems Todd Hester Department of Computer Science The University of Texas at Austin Good Afternoon, Colleagues Are there any questions? Todd Hester Logistics Next weeks readings Todd Hester Logistics


  1. CS344M Autonomous Multiagent Systems Todd Hester Department of Computer Science The University of Texas at Austin

  2. Good Afternoon, Colleagues Are there any questions? Todd Hester

  3. Logistics • Next week’s readings Todd Hester

  4. Logistics • Next week’s readings • Progress reports due just over 2 weeks Todd Hester

  5. Logistics • Next week’s readings • Progress reports due just over 2 weeks Todd Hester

  6. Surveys • Readings: − Mostly good, some mixed reviews Todd Hester

  7. Surveys • Readings: − Mostly good, some mixed reviews − Tips of what to get from the reading Todd Hester

  8. Surveys • Readings: − Mostly good, some mixed reviews − Tips of what to get from the reading − Some people didn’t like long papers Todd Hester

  9. Surveys • Readings: − Mostly good, some mixed reviews − Tips of what to get from the reading − Some people didn’t like long papers • Writing − Most like reading responses Todd Hester

  10. Surveys • Readings: − Mostly good, some mixed reviews − Tips of what to get from the reading − Some people didn’t like long papers • Writing − Most like reading responses − Most like openness of response Todd Hester

  11. Surveys • Readings: − Mostly good, some mixed reviews − Tips of what to get from the reading − Some people didn’t like long papers • Writing − Most like reading responses − Most like openness of response − “By making us think about the readings, either through specific questions or through free-responses, the writing exercises help us to get more involved with the readings.” Todd Hester

  12. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” Todd Hester

  13. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good Todd Hester

  14. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently Todd Hester

  15. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently − “The discussions are usually thought-provoking.” Todd Hester

  16. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently − “The discussions are usually thought-provoking.” − Better jumping off point for discussion Todd Hester

  17. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently − “The discussions are usually thought-provoking.” − Better jumping off point for discussion • Classroom sessions: − More activities that involve collaboration and design Todd Hester

  18. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently − “The discussions are usually thought-provoking.” − Better jumping off point for discussion • Classroom sessions: − More activities that involve collaboration and design − More machine learning tutorials (ML/GP/NN/etc) Todd Hester

  19. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently − “The discussions are usually thought-provoking.” − Better jumping off point for discussion • Classroom sessions: − More activities that involve collaboration and design − More machine learning tutorials (ML/GP/NN/etc) • Programming assignments: − Good intro to simulator Todd Hester

  20. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently − “The discussions are usually thought-provoking.” − Better jumping off point for discussion • Classroom sessions: − More activities that involve collaboration and design − More machine learning tutorials (ML/GP/NN/etc) • Programming assignments: − Good intro to simulator, but C/C++ syntax is hard Todd Hester

  21. − “They help me reaffirm my understanding of the reading, and in that sense they are helpful” • Classroom discussions: − Discussion format good, improving recently − “The discussions are usually thought-provoking.” − Better jumping off point for discussion • Classroom sessions: − More activities that involve collaboration and design − More machine learning tutorials (ML/GP/NN/etc) • Programming assignments: − Good intro to simulator, but C/C++ syntax is hard Todd Hester

  22. − “I think the initial assignments to a good job of exposing us to the properties of both simulators.” Todd Hester

  23. − “I think the initial assignments to a good job of exposing us to the properties of both simulators.” − Better documentation, specific detail for different functions Todd Hester

  24. − “I think the initial assignments to a good job of exposing us to the properties of both simulators.” − Better documentation, specific detail for different functions • Projects: − Good, generally excited about projects Todd Hester

  25. − “I think the initial assignments to a good job of exposing us to the properties of both simulators.” − Better documentation, specific detail for different functions • Projects: − Good, generally excited about projects − “Glad we got to formulate our own projects and that direction is given when needed.” Todd Hester

  26. − “I think the initial assignments to a good job of exposing us to the properties of both simulators.” − Better documentation, specific detail for different functions • Projects: − Good, generally excited about projects − “Glad we got to formulate our own projects and that direction is given when needed.” − “I look forward to diving into the final project.” Todd Hester

  27. − “I think the initial assignments to a good job of exposing us to the properties of both simulators.” − Better documentation, specific detail for different functions • Projects: − Good, generally excited about projects − “Glad we got to formulate our own projects and that direction is given when needed.” − “I look forward to diving into the final project.” Todd Hester

  28. My takeaways − Readings - Give tips on what to focus on Todd Hester

  29. My takeaways − Readings - Give tips on what to focus on − Discussion - Give better initiating questions Todd Hester

  30. My takeaways − Readings - Give tips on what to focus on − Discussion - Give better initiating questions − Activities - More activities getting you designing solutions Todd Hester

  31. My takeaways − Readings - Give tips on what to focus on − Discussion - Give better initiating questions − Activities - More activities getting you designing solutions − Machine learning - More tutorials on machine learning Todd Hester

  32. My takeaways − Readings - Give tips on what to focus on − Discussion - Give better initiating questions − Activities - More activities getting you designing solutions − Machine learning - More tutorials on machine learning − C/C++ help - More advice and specific documentation Todd Hester

  33. Game Theory • Multiagent systems • Economics • Social science, law, etc. Todd Hester

  34. Goals for Today • Understand premises of game theory • Understand the notion of utility • Understand solution concepts Todd Hester

  35. Goals for Today • Understand premises of game theory • Understand the notion of utility • Understand solution concepts – Dominant strategy – Nash equilibrium – Pareto optimality – Maximum social welfare – Maximin strategy Todd Hester

  36. Prisoner’s Dilemma ❈♦❧✉♠♥ ❈✭✶✮ ❉✭✷✮ ❈✭✶✮ ✸✱✸ ✵✱✺ ❘♦✇ ❉✭✷✮ ✺✱✵ ✶✱✶ Todd Hester

  37. Game Theory Premises • Simultaneous actions • No communication • Outcome depends on combination of actions Todd Hester

  38. Game Theory Premises • Simultaneous actions • No communication • Outcome depends on combination of actions • Utility (payoff) encapsulates everything about preferences over outcomes Todd Hester

  39. Utility • Money is a useful analogy for utility − But they’re not equivalent Todd Hester

  40. Utility • Money is a useful analogy for utility − But they’re not equivalent • Diminishing values Todd Hester

  41. Utility • Money is a useful analogy for utility − But they’re not equivalent • Diminishing values • Risk aversion Todd Hester

  42. Utility • Money is a useful analogy for utility − But they’re not equivalent • Diminishing values • Risk aversion • Loss aversion Todd Hester

  43. Utility • Money is a useful analogy for utility − But they’re not equivalent • Diminishing values • Risk aversion • Loss aversion • Friendliness/vindictiveness Todd Hester

  44. Solution Concepts • Dominant strategy Todd Hester

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