TY - JOUR
T1 - A method for integrating multiple components in a decision support system
AU - Nute, Donald
AU - Potter, Walter D.
AU - Cheng, Zhiyuan
AU - Dass, Mayukh
AU - Glende, Astrid
AU - Maierv, Frederick
AU - Routh, Cy
AU - Uchiyama, Hajime
AU - Wang, Jin
AU - Witzig, Sarah
AU - Twery, Mark
AU - Knopp, Peter
AU - Thomasma, Scott
AU - Rauscher, H. Michael
PY - 2005/10
Y1 - 2005/10
N2 - We present a flexible, extensible method for integrating multiple tools into a single large decision support system (DSS) using a forest ecosystem management DSS (NED-2) as an example. In our approach, a rich ontology for the target domain is developed and implemented in the internal data model for the DSS. Semi-autonomous agents control external components and communicate using a blackboard. We illustrate how this multi-agent approach with its blackboard architecture supports the expansion of a DSS (in this case, NED-2) to incorporate new models and decision support tools as they become available. The exemplar NED-2 DSS developed using this method is a goal-driven DSS that integrates a sophisticated inventory system, treatment plan development, growth-and-yield models, wildlife models, fire risk models, knowledge based systems for goal satisfaction analysis, and a powerful report generation system.
AB - We present a flexible, extensible method for integrating multiple tools into a single large decision support system (DSS) using a forest ecosystem management DSS (NED-2) as an example. In our approach, a rich ontology for the target domain is developed and implemented in the internal data model for the DSS. Semi-autonomous agents control external components and communicate using a blackboard. We illustrate how this multi-agent approach with its blackboard architecture supports the expansion of a DSS (in this case, NED-2) to incorporate new models and decision support tools as they become available. The exemplar NED-2 DSS developed using this method is a goal-driven DSS that integrates a sophisticated inventory system, treatment plan development, growth-and-yield models, wildlife models, fire risk models, knowledge based systems for goal satisfaction analysis, and a powerful report generation system.
KW - Agents
KW - Blackboard architecture
KW - Decision support system
KW - Ecosystem management
KW - Fire risk analysis
KW - Knowledge based system
KW - Regeneration
UR - http://www.scopus.com/inward/record.url?scp=23744499628&partnerID=8YFLogxK
U2 - 10.1016/j.compag.2005.02.007
DO - 10.1016/j.compag.2005.02.007
M3 - Article
AN - SCOPUS:23744499628
VL - 49
SP - 44
EP - 59
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
SN - 0168-1699
IS - 1
ER -