Intelligent Model Management in a Forest Ecosystem Management Decision Support System
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In: Integrated Assessment and Decision Support Proceedings of the First Biennial Meeting on the International Environmental Modeling and Software Society, IEMSs; 2002 June 24-27; Switzerland: University of Lugano; Vol. 3: 396-401.
Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard architecture and a set of semi-autonomous agents to manage these tools for the user. The blackboard integrates a Microsoft Access database and Prolog clauses, and the agents are implemented in Prolog. A graphical user interface written in Visual C++ provides powerful inventory analysis tools; dialogs for selecting timber, water, ecological, wildlife, and visual goals; and dialogs for defining treatments and building prescriptive management plans. Users can simulate management plans and perform goal analysis on different views of the management unit, where a view is determined by a management plan and a point in time. Prolog agents use growth and yield models to simulnlE management plans, perform goal analyses on user-specified views of the management unit, display resultsof plan simulation using GIS and visualization tools, and generate hypertext documents containing the results of such analysis. Individual agents use meta-knowledge to set up and run external simulation models, to load rule-based models and perform inference, to set up and execute external GIS and visualization systems, and to generate hypertext reports as needed, relieving the user from performing all these tasks. The NED-2 interface can present basic results from the simulation of alternative management plans in side-by-side displays.
Keywordsecosystem management; model management; decision support system; knowledge based system; blackboard architecture; Prolog
Nute, Donald; Potter, Walter D.; Maier, Frederick; Wang, Jin; Twery, Mark; Rauscher, H. Michael; Knopp, Peter; Thomasma, Scott; Dass, Mayukh; Uchiyama, Hajime. 2002. Intelligent Model Management in a Forest Ecosystem Management Decision Support System. In: Integrated Assessment and Decision Support Proceedings of the First Biennial Meeting on the International Environmental Modeling and Software Society, IEMSs; 2002 June 24-27; Switzerland: University of Lugano; Vol. 3: 396-401.