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Optimal Offensive Player Positioning and Collaboration in a Digital Soccer Game


Candidate: Serguei Razykov
Type: Master of Science (MSc), School of Interactive Arts and Technology
Date: June 30, 2006
Senior Supervisor: Dr. Vadim Kyrylov
Thesis: Download Thesis Document

Abstract

Player positioning is critical in many sport games; we use soccer as the example. The results of this study will help to improve digital sports games technology. In existing methods, the player calculates its desired position using current location of the ball and its own role in the team formation. The existing methods have two disadvantages: neglecting the game dynamics and leaving behind some potentially good positions without consideration; the latter being the common shortcoming of decision tree algorithms. The proposed approach is taking into account the dynamics by determining the available time horizon which limits the feasible area where the optimal position is located. To make sure that all potential alternative positions in the feasible area have been evaluated and considered, the Pareto optimality approach is used. As a result, the proposed method provides the opportunity to create an optimal dynamic formation for the whole team.

Graduate  //  Theses

Complete thesis documents are available through the SFU Library External Site







Wei Wang, December 6, 2006

Yingjie Chen, November 21, 2006

Douglas Grant, November 15, 2006

Denise Withers, October 30, 2006

Brad Paras, October 16, 2006

Margaret Tam, September 26, 2006

Ashok Shah, August 18, 2006

Wenting Ma, July 24, 2006

Ty Mey Eap, July 20, 2006

Jerry Li, July 20, 2006

Gilly Mah, July 19, 2006

Serguei Razykov, June 30, 2006

Aleksandra Dulic, June 8, 2006

Chun Wai Chan, May 29, 2006

Jonathan Hatol, May 26, 2006

Baljeet Dhaliwal, May 24, 2006

Yufen Jiang, May 23, 2006

Arsalan Butt, April 17, 2006

So-young Park, April 7, 2006

Michelle Irving, April 6, 2006

Robert MacKie, April 5, 2006

Joel Flynn, March 17, 2006