Title :
Algorithmic Tools for Adversarial Games: Intent Analysis Using Evolutionary Computation
Author :
Vanesian, T. ; Kreutz-Delgado, Kenneth
Author_Institution :
ECE Dept., California Univ., La Jolla, CA
Abstract :
Determining adversarial intent is important on a battlefield. In this paper, we propose a method for intent analysis using evolutionary computation. The proposed approach defines the model as an optimization problem then gives an algorithm for determining the parameters of the model in a Valuated State Spacereg domain. Example experiments using simulation data are discussed
Keywords :
evolutionary computation; game theory; military computing; Valuated State Space; adversarial games; algorithmic tools; battlefield; evolutionary computation; intent analysis; Algorithm design and analysis; Computational intelligence; Computational modeling; Evolutionary computation; Security; State-space methods; System identification; Transducers; USA Councils; Variable structure systems;
Conference_Titel :
Computational Intelligence in Security and Defense Applications, 2007. CISDA 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0700-1
DOI :
10.1109/CISDA.2007.368142
