Home > Archive > 2012 > Volume 2 Number 6 (Dec. 2012) >
IJML 2012 Vol.2(6): 822-824
doi: 10.7763/IJMLC.2012.V2.245

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

Shengguo Zhu1 , Peng Li2 , Lijuan Zhan1

  • 1Huazhong University of Science & Technology, Wuhan, China
  • 2HuBei Radio and TV University, Wuhan, China.

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.

Keywords

  • Conditional
  • event
  • algebra;
  • Situation
  • assessment
245-K30001

How to Cite

Copied

Shengguo Zhu, Peng Li, and Lijuan Zhan, "The Research of Method Situation Assessment in Robot-Soccer Games Based on Conditional Event Algebra," International Journal of Machine Learning, vol. 2, no. 6, pp. 822-824, 2012. https://doi.org/10.7763/IJMLC.2012.V2.245

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Article Metrics in Dimensions

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD