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    Author(s): W. Potter; D. Nute; J. Wang; F. Maier; Michael Twery; H. Michael Rauscher; P. Knopp; S. Thomasma; M. Dass; H. Uchiyama
    Date: 2002
    Source: In: Proceedings IFIP 17<sup>th</sup> World Computer Congress TC12 Stream on Intelligent Information processing, August 25-30, Montrèal, Quèbec, Canada
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (370 KB)

    Description

    For many years we have held to the notion that an Intelligent Information System (IIS) is composed of a unified knowledge base, database, and model base. The main idea behind this notion is the transparent processing of user queries. The system is responsible for "deciding" which information sources to access in order to fulfil a query regardless of whether this involves a data retrieval, an inference, a computational method, a problem solving module, or some combination of these. The NED IIS project is an effort to develop a robust, intelligent, goal-driven forest ecosystem management system to help forest managers plan and achieve wildlife, ecological, water, landscape, and timber goals. NED, using a blackboard architecture dominated by semi autonomous intelligent agents, integrates a core database, domain knowledge, meta-knowledge, and a GUI with external (possibly distributed) legacy and special purpose (heterogeneous) information sources. The current version of NED is NED-2. NED-2 is still under construction, however a prototype incorporating the major components of the architecture has been completed and demonstrated.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Potter, W.; Nute, D.; Wang, J.; Maier, F.; Twery, Michael; Rauscher, H. Michael; Knopp, P.; Thomasma, S.; Dass, M.; Uchiyama, H. 2002. The Ned IIS project - forest ecosystem management. In: Proceedings IFIP 17th World Computer Congress TC12 Stream on Intelligent Information processing, August 25-30, Montrèal, Quèbec, Canada

    Keywords

    Intelligent information systems, blackboard architecture, agents

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