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Global Descriptors of Convolution Neural Networks for Remote Scene Images Classification Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Battle Prediction System in StarCraft Combined with Topographic Considerations

Authors : ChengZhen Meng, Yu Tang, ChenYao Wu, Di Lin

Published in: Artificial Intelligence in China

Publisher: Springer Singapore

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Abstract

This paper focuses on the prediction of combat outcomes in a local battle during a game of StarCraft. Through the analysis of the initial state of the two armies and considering the influence of the terrain in StarCraft on the combat effectiveness of both sides, the concept of the terrain correction factor is introduced to establish a mathematical model. Secondly, using SparCraft is to simulate battles and generate data sets. Finally, the maximum a posteriori probability estimation (MAP) is used to train the previously established data set to complete the parameter estimation of the mathematical model.

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Metadata
Title
Battle Prediction System in StarCraft Combined with Topographic Considerations
Authors
ChengZhen Meng
Yu Tang
ChenYao Wu
Di Lin
Copyright Year
2020
Publisher
Springer Singapore
Book
Artificial Intelligence in China

Print ISBN: 978-981-15-0186-9

Electronic ISBN: 978-981-15-0187-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0187-6_14