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Mixed-Initiative in Computer Games

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Mixed-Initiative in Computer Games Presenter: Liam Doherty Simon Fraser University Authors: Liam Doherty, Max Whitney, Jurika Shakya, Mayo Jordanov, Patrick Lougheed ... – PowerPoint PPT presentation

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Title: Mixed-Initiative in Computer Games


1
Mixed-Initiative in Computer Games
  • Presenter Liam Doherty
  • Simon Fraser University
  • Authors
  • Liam Doherty, Max Whitney, Jurika Shakya, Mayo
    Jordanov, Patrick Lougheed, David Brokenshire,
    Shilpi Rao, Samir Menon, Vive Kumar
  • Funded by the LearningKit project (SSHRC-INE) and
    the LORNET project (NSERC).

2
Background
  • 4th year undergraduate student in the School of
    Interactive Arts Technology at Simon Fraser
    University
  • Interested in computer games and AI
  • Introduced to MI in April 2005

3
Overview
  • Why investigate games MI?
  • MI in current computer games.
  • Why are games interesting to MI research?
  • How are game design ideas useful to MI?
  • How is MI useful to game design?

4
Motivation
  • MI does not have a general theory
  • Computer games need new models of interaction
    that can support complex communication
  • Games have many different styles of
    interactivity, some of which are interesting to MI

5
Hypothesis
  • Computer game design and mixed initiative
    techniques have commonalities that should be
    explored.

6
What is MI in Computer Games?
  • Computer games are about interaction
  • Player/Agent and Agent/Agent interaction
  • Implicitly goal-oriented interaction

7
Examples of Implicit MI in Computer Games
  • Bargaining
  • Human-like interaction
  • Tutoring in games

8
Why are Games interesting for MI Research?
  • Provide case studies
  • Provides an environment for experimentation
  • Forgiving of failures
  • Some similarities between game design theories
    describing 'interactivity' and the techniques of
    'mixed-initiative'.
  • Commercial / real-world applications

9
Applying Game Design Concepts to Mixed-Initiative
  • Game design provides some interesting ideas for
    analyzing MI interaction
  • Time-constrained interaction
  • Optimal learning curves

10
MI Techniques are useful to Game Design
  • Helpful for problem of rich interactivity
  • Helpful for building realistic human characters
  • Game AI is recognized in the game industry as the
    upcoming focus for game designers

11
Conclusions
  • Games are an interesting area where MI theories
    can be applied and tested.
  • MI can be applied to game design, especially in
    next-generation game types.
  • Game design theory and MI interaction have areas
    of overlap that can yield interesting hypotheses
    in both fields.

12
Thank You
  • Liam Doherty, Max Whitney, Jurika Shakya, Mayo
    Jordanov, Patrick Lougheed, David Brokenshire,
    Shilpi Rao, Samir Menon, Vive Kumar
  • Simon Fraser University
  • Funded by the LearningKit project (SSHRC-INE) and
    the LORNET project (NSERC).
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