Ari Shapiro, an American research scientist at Institute for Creative Technologies of the University of Southern California. He holds a B.A. in computer science (CS) from the University of California, Santa Cruz (UCSC), an M.S. in CS from University of California, Los Angeles (UCLA) in 2002, and a Ph.D. in CS at UCLA in 2007 in the field of computer graphics with a dissertation on character animation using motion capture, physics and machine learning. He worked on character animation tools and algorithms in the research and development departments of visual effects and video games companies such as Industrial Light and Magic, LucasArts and Rhythm and Hues Studios [1]. At UCSC, along with Robert Levinson and Gil Fuchs, Ari Shapiro worked on temporal-difference learning of pattern-weights with self-play in order to develop a strategy for an automated player of a non-cooperative version of the game of Diplomacy, as already applied to chess within Morph III, the self learning pattern-oriented chess program by Robert Levinson et al. [2].
Ari Shapiro [3]

Selected Publications

• Ari Shapiro, Gil Fuchs, Robert Levinson (2002). Learning a Game Strategy Using Pattern-Weights and Self-play. CG 2002, pdf
• Ari Shapiro, Sung-Hee Lee (2011). Practical Character Physics for Animators. IEEE Computer Graphics and Applications, pdf
• Ari Shapiro (2011). Building a Character Animation System. Motion in Games 2011, pdf
• Yuyu Xu, Andrew W. Feng, Stacy Marsella, Ari Shapiro (2013). A Practical and Configurable Lip Sync Method for Games. Motion in Games 2013, pdf

External Links

• Ari Shapiro's homepage
• Ari Shapiro @ ICT USC

References

1. ^ Ari Shapiro @ ICT USC
2. ^ Robert Levinson, Gil Fuchs (1994). A Pattern-Weight Formulation of Search Knowledge. UCSC-CRL-94-10, CiteSeerX
3. ^ Ari Shapiro @ ICT USC
4. ^ dblp: Ari Shapiro
5. ^ Ari Shapiro - Papers

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