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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(6): 822-824 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.245

The Research of Method Situation Assessment in Robot-Soccer Games Based on Conditional Event Algebra

S. G. Zhu, P. Li, and L. J. Zhan
Abstract—This paper mainly research on the situation assessment method. Since the situation assessment plays a key role in decision-making system, and the correct and effective intelligent decision has a direct decisive effect on winning in football matches. By using the Bayesian network framework to express the relation between events, and combining Conditional Event Algebra for logical reasoning, this paper firstly introduced the basic principle and property about CEA and product space conditional event algebra (PSCEA). And then a new situation assessment method is proposed in situation assessment module to address the incompatible problem between the probability and the logic. The experimental result shows that this new situation assessment method has more intelligent, efficient.

Index Terms—Conditional event algebra; Situation assessment.

Shengguo Zhu and Lijuan Zhan are with Huazhong University of Science & Technology, Wuhan, China (Email:shengguoz@126.com, Email:276115092@qq.com)
Peng Li is with HuBei Radio and TV University, Wuhan, China (Email: peling9901@163.com).

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Cite:S. G. Zhu, P. Li, and L. J. Zhan, "The Research of Method Situation Assessment in Robot-Soccer Games Based on Conditional Event Algebra," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 822-824, 2012.

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