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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shaobin Sun Xuehua Lin Jun Pan Yingchun Zhou |
| Copyright Year | 2012 |
| Description | Author affiliation: Military Simulation Center, Armored Forces Institute of PLA, Bengbu, China (Shaobin Sun; Xuehua Lin; Jun Pan; Yingchun Zhou) |
| Abstract | We design a CGF MAS to realistically simulate the behaviors of Tank combat unit. Adopting the principle of hierarchically structured modeling, the hierarchical CGF agent model is designed. In order to simulate CGF unit-level aggregation behaviors, the CGF organization model based on military command control structure is proposed. The decision mechanism of combing static priority and dynamic priority is adopted to decide which goals CGF to pursue to facilitate CGF decision-making. The CGF planning framework based on Hierarchical Tasks Network is designed to support devolved planning and execution of different tasks in a manner similar to that found in military command structures. The whole system works as a distributed Hierarchical Task Network planner that is interleaving planning and execution. |
| Starting Page | 476 |
| Ending Page | 480 |
| File Size | 90576 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467300889 |
| e-ISBN | 9781467300896 |
| DOI | 10.1109/CSAE.2012.6272641 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision-making Computer generated forces Agent Multiagent systems Hiearchical tasks network Computational modeling Decision making Organizations Planning Joints Artificial intelligence Multi-agent systems |
| Content Type | Text |
| Resource Type | Article |
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