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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1842/3398
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| Title: | Using AI Planning Techniques for Army Small Unit Operations |
| Authors: | Tate, Austin
Levine, John
Jarvis, Peter
Dalton, Jeffrey |
| Issue Date: | Dec-1999 |
| Series/Report no.: | Informatics Report Series
EDI-INF-RR-0006 |
| Abstract: | In this paper, we outline the requirements of a planning and decision aid to support US Army small unit operations in urban terrain and show how AI planning technologies can be exploited in that context. The work is a rare example of a comprehensive use of AI technologies across the whole planning lifecycle, set in a realistic application in which the actual user community set the requirements. The phases involved include:
* Domain knowledge elicitation * Rich plan representation and use * Hierarchical Task Network Planning * Detailed constraint management * Goal structure-based plan monitoring * Dynamic issue handling * Plan repair in low and high tempo situations * Interfaces for users with different roles * Management of planning and execution workflow |
| Description: | Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling Systems (AIPS 2000) |
| Keywords: | Informatics |
| URI: | http://hdl.handle.net/1842/3398 |
| Appears in Collections: | Informatics Report Series
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