Modeling the behaviors of players in competitive environments

Chiao, Shih-Yang and Xydeas, C.S. (2003) Modeling the behaviors of players in competitive environments. In: Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on. IEEE, pp. 566-569. ISBN 0-7695-1931-8

Full text not available from this repository.

Abstract

This paper is concerned with the modeling of the behavior of players operating in a competitive environment that is characterized by interactions amongst players or groups of players. Thus the paper describes a new, online, hierarchical, probabilistic modeling architecture that is based on hidden Markov models (HMMs). For the purpose of online behavior recognition, a probabilistic decision tree is implemented that accepts HMM behavior probabilities of player and effectively segments their behavior-with-time trajectories. This allows the location of important points in time where behavior changes occur. Furthermore, the hierarchical nature of the system allows individual player classification results to be used towards the modeling and classification of higher-level tactical behaviors of groups of players, as defined within an application envelope. The system is applied in a relatively simple "air-patrol" scenario and system simulation performance results are provided in terms of certain useful metrics.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
57497
Deposited By:
Deposited On:
12 Oct 2012 12:43
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Jun 2020 09:22