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A Plethora of Programs

How to Teach Game AI from Scratch Brian Magerko, Ph.D. Assistant Professor of Digital Media Georgia Tech. A Plethora of Programs. Computational Media (B.S) Computer Science (B.S., M.S., Ph.D.) Digital Media (M.S., Ph.D.) Human-Centered Computing (Ph.D.). Student Experience. Motivation?

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A Plethora of Programs

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  1. How to Teach Game AI from ScratchBrian Magerko, Ph.D.Assistant Professor of Digital MediaGeorgia Tech

  2. A Plethora of Programs • Computational Media (B.S) • Computer Science (B.S., M.S., Ph.D.) • Digital Media (M.S., Ph.D.) • Human-Centered Computing (Ph.D.)

  3. Student Experience • Motivation? • Coding experience? • AI background?

  4. Course Design • Appropriate abstraction for beginners & intermediates

  5. Course Design • Appropriate abstraction for beginners & intermediates • Breadth of techniques

  6. Course Design • Appropriate abstraction for beginners & intermediates • Breadth of techniques • Algorithms / Aesthetics

  7. spy party

  8. prom week

  9. party quirks AIIDE 2011; IVA 2011

  10. Recommended Texts

  11. Course Design • Appropriate abstraction for beginners & intermediates • Breadth of techniques • Algorithms / Aesthetics • Build early and consistently

  12. Course Design • Appropriate abstraction for beginners & intermediates • Breadth of techniques • Algorithms / Aesthetics • Build early and consistently • Focus on enabling soft skills

  13. Soft Skills • Problem identification • Survey classes of approaches • Matching solutions to problems • Presenting rationale & work • Working in teams

  14. Project-based Learning

  15. Project-based Learning • Lecture material tied to projects

  16. Project-based Learning • Lecture material tied to projects • Uses free game AI resources

  17. project 1

  18. project 2

  19. Google AI Challenge others

  20. Project-based Learning • Lecture material tied to projects • Uses free game AI resources • No algorithmic requirement

  21. Project-based Learning • Lecture material tied to projects • Uses free game AI resources • No algorithmic requirement • Self-selected goal for project

  22. Project-based Learning • Lecture material tied to projects • Uses free game AI resources • No algorithmic requirement • Self-selected goal for project • Experimentation encouraged

  23. Project-based Learning • Lecture material tied to projects • Uses free game AI resources • No algorithmic requirement • Self-selected goal for project • Experimentation encouraged • Process, product, and presentation are evaluated

  24. Project-based Learning • Lecture material tied to projects • Uses free game AI resources • No algorithmic requirement • Self-selected goal for project • Experimentation encouraged • Process, product, and presentation are evaluated • Community of practice

  25. Final Project

  26. Final Project • Team project

  27. Final Project • Team project • AI as Aesthetic vs. Board Game AI

  28. Final Project • Team project • AI as Aesthetic vs. Board Game AI • Open-ended requirements

  29. Student Examples

  30. mapstermind

  31. zombies (h)ate my neighbors

  32. ra

  33. dominion

  34. spy game

  35. power grid

  36. Takeaways • Student-driven projects • Focus on soft skills & breadth • Make use of available environments • Algorithms & Aesthetics

  37. Thanks! magerko@gatech.edu http://lcc.gatech.edu/~bmagerko6 http://adam.cc.gatech.edu

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