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Optimal Positioning in a Digital Soccer Game: Offensive Player Positioning and Collaboration - Softcover
Player positioning is critical in many sport games. This study uses digital soccer as an example and contributes into digital sports games technology. In existing AI positioning methods, an artificial player agent calculates a desired position using current location of the ball and its own role in the team formation. These 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. The ideas of this book should be useful for AI researches and games developers.
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About the Author:
Serguei Razykov, MSc: Studied Artificial Intelligence at Simon Fraser University, Vancouver, BC. Computer Systems Analyst at Microsoft Corporation, Seattle, WA, USA; Senior Web Application Developer at International Internet Advertising Services Inc., Abbotsford, BC, Canada.
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- PublisherVDM Verlag Dr. Müller
- Publication date2011
- ISBN 10 3639020723
- ISBN 13 9783639020724
- BindingPaperback
- Number of pages124
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Optimal Positioning in a Digital Soccer Game
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Optimal Positioning in a Digital Soccer Game: Offensive Player Positioning and Collaboration
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Optimal Positioning in a Digital Soccer Game Offensive Player Positioning and Collaboration
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Optimal Positioning in a Digital Soccer Game : Offensive Player Positioning and Collaboration
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Player positioning is critical in many sport games. This study uses digital soccer as an example and contributes into digital sports games technology. In existing AI positioning methods, an artificial player agent calculates a desired position using current location of the ball and its own role in the team formation. These 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. The ideas of this book should be useful for AI researches and games developers. Seller Inventory # 9783639020724
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Optimal Positioning in a Digital Soccer Game Offensive Player Positioning and Collaboration
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ISBN 13: 9783639020724
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Razykov SergueiSerguei Razykov, MSc: Studied Artificial Intelligence at Simon Fraser University, Vancouver, BC. Computer Systems Analyst at Microsoft Corporation, Seattle, WA, USA Senior Web Application Developer at International In. Seller Inventory # 4950016
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