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dc.contributor.authorTate, Austin
dc.contributor.authorLevine, John
dc.contributor.authorJarvis, Peter
dc.contributor.authorDalton, Jeffrey
dc.date.accessioned2010-04-23T10:49:13Z
dc.date.available2010-04-23T10:49:13Z
dc.date.issued1999-12
dc.identifier.urihttp://hdl.handle.net/1842/3398
dc.descriptionProceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling Systems (AIPS 2000)en
dc.description.abstractIn 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 workflowen
dc.language.isoenen
dc.relation.ispartofseriesInformatics Report Seriesen
dc.relation.ispartofseriesEDI-INF-RR-0006en
dc.subjectInformaticsen
dc.titleUsing AI Planning Techniques for Army Small Unit Operationsen
dc.typeTechnical Reporten


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