Artificial Intelligence - Special issue on knowledge representation
TRIPs: an integrated intelligent problem-solving assistant
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Mexar2: AI Solves Mission Planner Problems
IEEE Intelligent Systems
Visual analytics apporach to user-controlled evacuation scheduling
Information Visualization - Special issue on visual analytics science and technology
Modelling and simulating work practices in agriculture
International Journal of Metadata, Semantics and Ontologies
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Comirem is an "intelligent form" for resource management in continuous planning domains. The system implements a user-centered approach to scheduling and resource allocation based on three principles: First, users will want to make planning and resource allocation decisions at different levels of detail in different circumstances and correspondingly delegate more or less decision-making responsibility to system processes in different contexts. Second, abstract domain models, coupled with graphical visualization, can provide an effective basis for communicating decision impact and proposing decision options. Finally, incremental, adaptive problem-solving capabilities, which attempt to localize change whenever possible and appropriate, are central to maintaining continuity in the planning and resource management process. We use these principles to provide a variety of tools for mixed-initiative resource allocation, feasibility checking, resource tracking, and conflict resolution. Users interact with Comirem through a Web-based, spreadsheet-style GUI that reflects a structured-forms decision-making paradigm.