@inproceedings{f7cfcf623494406daac14796b21c4b80,
title = "Decision making model based on state assessment and hierarchical FSM in robot soccer",
abstract = "In order to improve validity and pertinence of strategies in robot soccer, this paper put forward a finite state automatons hierarchical decision model based on match state estimations. This model synthesizes and quantitates the information of state estimations and feedback of performing effects, establishes tactics conversion relationship based on finite state automatons, accordingly makes a tactic suiting current states. The simulations indicate that the decision model in this paper improves validity and pertinence of tactics to a great extent, enabling that whole abilities of attacking and defending for the soccer team attain corresponding melioration.",
keywords = "Decision-making, FSM, Robot soccer, Simulation, State assessment",
author = "Yunfeng Lou and Bin Chen and Haobin Shi",
year = "2012",
doi = "10.1049/cp.2012.1087",
language = "英语",
isbn = "9781849195379",
series = "IET Conference Publications",
number = "598 CP",
pages = "756--759",
booktitle = "International Conference on Automatic Control and Artificial Intelligence, ACAI 2012",
edition = "598 CP",
note = "International Conference on Automatic Control and Artificial Intelligence, ACAI 2012 ; Conference date: 03-03-2012 Through 05-03-2012",
}