Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center An Intelligent Information System for.

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Presentation transcript:

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center An Intelligent Information System for Forest Management NED/FVS Integration

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center Credits USDA Forest Service H. M. Rauscher M. J. Twery, S. Thomasma, P. Knopp University of Georgia J. Wang W. D. Potter D. Nute F. Maier

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center Presentation Overview Introduce NED NED Decision Process NED Software Architecture NED/FVS Integration Future Directions

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center NED is a set of Decision-Support Tools designed to provide analysis for integrated prescriptions for managing forests for multiple values up to a landscape scale. NED: a set of tools for Natural Resource Decision Support

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center 1.Create the goals & measurement criteria 2.Inventory & current condition analysis 3.Design alternative courses of action 4.Forecast the future through simulation 5.Assign values to the measurement criteria 6.Evaluate how well goals have been met 7.If not satisfactory, go back to step 1 The NED Decision Process

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center 1.Create the goals & measurement criteria 2.Inventory & current condition analysis 3.Design alternative courses of action 4.Forecast the future through simulation 5.Assign values to the measurement criteria 6.Evaluate how well goals have been met 7.If not satisfactory, go back to step 1 The NED Decision Process

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center Inventory Management Unit Stands Plots Overstory Observations Understory Observations Ground Observations

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center 1.Create the goals & measurement criteria 2.Inventory & current condition analysis 3.Design alternative courses of action 4.Forecast the future through simulation 5.Assign values to the measurement criteria 6.Evaluate how well goals have been met 7.If not satisfactory, go back to step 1 The NED Decision Process

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center 1.Create the goals & measurement criteria 2.Inventory & current condition analysis 3.Design alternative courses of action 4.Forecast the future through simulation 5.Assign values to the measurement criteria 6.Evaluate how well goals have been met 7.If not satisfactory, go back to step 1 The NED Decision Process

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center 1.Create the goals & measurement criteria 2.Inventory & current condition analysis 3.Design alternative courses of action 4.Forecast the future through simulation 5.Assign values to the measurement criteria 6.Evaluate how well goals have been met 7.If not satisfactory, go back to step 1 The NED Decision Process

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center 1.Create the goals & measurement criteria 2.Inventory & current condition analysis 3.Design alternative courses of action 4.Forecast the future through simulation 5.Assign values to the measurement criteria 6.Evaluate how well goals have been met 7.If not satisfactory, go back to step 1 The NED Decision Process

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center 1.Create the goals & measurement criteria 2.Inventory & current condition analysis 3.Design alternative courses of action 4.Forecast the future through simulation 5.Assign values to the measurement criteria 6.Evaluate how well goals have been met 7.If not satisfactory, go back to step 1 The NED Decision Process

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center NED Software Architecture Intelligent Information System for decision support, featuring the unification of: Knowledge Base Database Model Base

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center NED Software Architecture Blackboard System Semi-Autonomous Prolog Agents MS Access Data Storage Graphical Interface in C++ Distributed Processing Capabilities (DCOM)

Blackboard Prolog Clauses MS Access Databases AGENTSAGENTS Inference EnginesKnowledge Models Meta-knowledge Temporary Data Files Simulators GIS Visual Models HTML Report s Interface Modules Control Flow Information Flow NED Software Architecture

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center NED/FVS Integration FVS: One of the Model components in NED Controlled by Intelligent Agent Simulates User’s Treatment Plan

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center NED/FVS Integration FVS Agent uses metadata to: Pick or recommend FVS variant (NE/SN) Create keyword and stand files from NED (MS Access) data Run FVS (locally or remotely) Convert FVS results to NED format

FVS AGENT Blackboard FVS Control Flow Information Flow NED/FVS Integration

Plan Screen Shot

Treatment Screen Shot

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center NED/FVS Integration The Payoff: Transparent use of FVS Creates keyword file based on NED treatment plan

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center Future Directions FVS: One of many simulators used in NED Coming Soon –SVS –Silvah –Landscape visualization Automatic Data Source Registration Intelligent Processing of High Level Queries

Northeastern Research Station Southern Research Station The University of Georgia Artificial Intelligence Center Further Information