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AI Babysitter Elective

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AI Babysitter Elective. Game Tuning Workshop. The Designer-Player Relationship. Designer ... Do they track the babysitter? What if they can turn on and off ... – PowerPoint PPT presentation

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Title: AI Babysitter Elective


1
AI Babysitter Elective
2
The Designer-Player Relationship
?
?
Creates
Consumes
Game
Designer
Player
3
The Designer-Player Relationship
?
?
Creates
Consumes
Game
AI
Player
4
A Formal Model ofGame Consumption
5
The MDA Framework
6
Our Task
  • Hide-and-seek game
  • CMU Woggles
  • Tag the T

7
Our Task
  • Hide-and-seek game
  • Can be played from both perspectives
  • the babysitter
  • and the child
  • Simple, 3 room environment

8
Our Map
9
Avatar Babysitter
  • Moves
  • Speaks
  • Extra Moves? Why?

10
AI Baby
  • What kinds of fun?
  • What kinds of baby AI?

11
Eight Kinds of "Fun"
  • 1. Sensation
  • Game as sense-pleasure
  • 2. Fantasy
  • Game as make-believe
  • 3. Narrative
  • Game as drama
  • 4. Challenge
  • Game as obstacle course
  • 5. Fellowship
  • Game as social framework
  • 6. Discovery
  • Game as uncharted territory
  • 7. Expression
  • Game as self-discovery
  • 8. Submission
  • Game as pastime

12
Baby AI
  • Basic abilities and moves?

13
The Dynamics of Hide and Seek
excitement
exhaustion
14
Technical Details
  • Waypoints?
  • Obstacle detection?
  • Cover points?

15
New Constraints!!
  • Many kids!
  • Player babysitter
  • Tag a target kid

16
AI Baby
  • What kinds of fun?
  • What kinds of baby AI?

17
AI Baby
  • What kinds of fun?
  • What kinds of baby AI?
  • Reconsider
  • Hiding behaviors

18
AI Baby
  • What kinds of fun
  • What kinds of baby AI?
  • Reconsider
  • Hiding behaviors
  • Tells

19
AI Baby
  • What kinds of fun
  • What kinds of baby AI?
  • Reconsider
  • Hiding behaviors
  • Tells
  • Group goals?

20
AI Baby
  • What kinds of fun
  • What kinds of baby AI?
  • Reconsider
  • Hiding behaviors
  • Tells
  • Group goals?
  • Pacing and Flow

21
Baby AI
  • Advanced abilities and moves?

22
Technical Details
  • Waypoints?
  • Obstacle detection?
  • Cover points?

23
Technical Details
  • Waypoints?
  • Obstacle detection?
  • Cover points?
  • World view?

24
Technical Details
  • Waypoints?
  • Obstacle detection?
  • Cover points?
  • World view?
  • Competition?

25
But Wait Theres More!!
  • Full-blown simulation of tag
  • Real Strategic Gameplay
  • Showcase character AI.

26
Baby AI
  • What does it look like NOW?

27
Technical Considerations
  • Designers cant do it all by hand!
  • Each AI should have a style or personality
  • Easier to recognize/predict
  • Different targets require different skills
  • This means more granularity more complex
    representation.

28
Technical Considerations
  • Hiding
  • How much cover is the fern...as opposed to the
    closet or under the table?
  • Do AIs perceive others and plan around them?
  • Do they track the babysitter?
  • What if they can turn on and off lights?

29
Technical Considerations
  • What about sound?
  • Doors make sound, so do hardwood floors.
  • How sensitive to sound is the babysitter, are the
    kids?

30
Conclusions?
  • How would you do it?
  • Making tag different?
  • Trends or takeaways for
  • Planning
  • Designing
  • Constraining
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