QuickSet: multimodal interaction for distributed applications
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Towards a computational model of sketching
Proceedings of the 6th international conference on Intelligent user interfaces
Sketching for knowledge capture: a progress report
Proceedings of the 7th international conference on Intelligent user interfaces
Toward practical knowledge-based tools for battle planning and scheduling
Eighteenth national conference on Artificial intelligence
Sketching for military courses of action diagrams
Proceedings of the 8th international conference on Intelligent user interfaces
How Qualitative Spatial Reasoning Can Improve Strategy Game AIs
IEEE Intelligent Systems
An analogy ontology for integrating analogical processing and first-principles reasoning
Eighteenth national conference on Artificial intelligence
Toward practical knowledge-based tools for battle planning and scheduling
Eighteenth national conference on Artificial intelligence
Proceedings of the 35th conference on Winter simulation: driving innovation
Qualitative spatial reasoning about sketch maps
AI Magazine
Companion cognitive systems: a step toward human-level AI
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
An analogy ontology for integrating analogical processing and first-principles reasoning
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
Toward practical knowledge-based tools for battle planning and scheduling
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
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The US Army Battle Command Battle Lab conducted an experiment with the ICCES system -- an integrated decision aid for performing several critical steps of a US Army Brigade Military Decision Making Process: from capturing a high-level Course of Action to producing a detailed analysis and plan of tasks. The system integrated several available technologies based largely on AI techniques, ranging from qualitative spatial interpretation of course-of-action diagrams to interleaved adversarial planning and scheduling. The experiment dispelled concerns about potential negative impacts of such tools on the creative aspects of the art of war, showed a potential for dramatic time savings in the MDMP process, and confirmed the maturity and suitability of the technologies for near-future deployment.