Agent-Based Simulation of Geo-Political Conflict
Abstract
The intelligence analysis task of anticipating crises and providing decision makers with reasonable (supportable, explainable) possible futures is extremely diffi cult. To perform this task, a team of analysts must consider the political, economic, and military aspects of national governments and non-governmental organizations. This paper describes an agent-based simulation framework, the Advanced Global Intelligence and Leadership Experiment (AGILE), for building executable models for conducting regional analysis. AGILE is a full-featured simulation framework that enables the specifi cation of simulation parameters, models and agents, lets the user defi ne and run simulations under varying conditions, and enables post-run analysis of the results. In this paper, we describe the system implementation, and some examples of its use in a pseudo-operational setting.
Cite
Text
Taylor et al. "Agent-Based Simulation of Geo-Political Conflict." AAAI Conference on Artificial Intelligence, 2004.Markdown
[Taylor et al. "Agent-Based Simulation of Geo-Political Conflict." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/taylor2004aaai-agent/)BibTeX
@inproceedings{taylor2004aaai-agent,
title = {{Agent-Based Simulation of Geo-Political Conflict}},
author = {Taylor, Glenn and Frederiksen, Richard and Iii, Russell R. Vane and Waltz, Edward},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2004},
pages = {884-891},
url = {https://mlanthology.org/aaai/2004/taylor2004aaai-agent/}
}