Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/10233
Title: Mathematical modeling of social games
Authors: Chan, Kam Tong 
King, Irwin 
Dr. YUEN Man-Ching, Connie 
Issue Date: 2009
Publisher: IEEE
Source: Chan, K. T., King, I., & Yuen, M. C. (2009). Mathematical modeling of social games. In CSE (Ed.). Proceedings of the 12th IEEE international conference on computational science and engineering, CSE 2009, Vancouver, BC, Canada, August 29-31, 2009. 12th IEEE International Conference on Computational Science and Engineering, Vancouver, BC, Canada (pp. 1205-1210). IEEE.
Conference: The 2009 International Workshop on Social Intelligence in Applied Gaming (SIAG 2009) 
Abstract: Human computation is a technique that makes use of human abilities for computation to solve problems. Social games use the power of the Internet game players to solve human computation problems. In previous works, many social games were proposed and were quite successful, but no formal framework exists for designing social games in general. A formal framework is important because it lists out the design elements of a social game, the characteristics of a human computation problem, and their relationships. With a formal framework, it simplifies the way to design a social game for a specific problem. In this paper, our contributions are: (1) formulate a formal model on social games, (2) analyze the framework and derive some interesting properties based on model’s interactions, (3) illustrate how some current social games can be realized with the proposed formal model, and (4) describe how to design a social game for solving a specific problem with the use of the proposed formal model. This paper presents a set of design guidelines derived from the formal model and demonstrates that the model can help to design a social game for solving a specific problem in a formal and structural way.
Type: Conference Paper
URI: http://hdl.handle.net/20.500.11861/10233
ISBN: 9781424453344
DOI: 10.1109/CSE.2009.166
Appears in Collections:Applied Data Science - Publication

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