Northeastern Research Station Southern Research Station The University of Georgia Artificial...

Northeastern Research StationSouthern Research Station

The University of Georgia Artificial Intelligence Center

An Agent Architecture for an Integrated Forest Ecosystem

Management Decision Support System



Credits

University of GeorgiaD. Nute

W. D. PotterM. Dass

A. GlendeH. Uchiyama

F. MaierJ. Wang

USDA Forest ServiceH. M. Rauscher

M. J. Twery, S. Thomasma,

P. Knopp



Presentation Overview

• Introduction

• NED-2 Architecture

• NED-2 Ontology and Internal Data Model

• NED-2 Blackboard/Database Integration

• NED-2 Agents

• Future Plans



NED-2 is an Intelligent Information System for Decision Support for Forest Ecosystems

Introduction



NED-2: An Intelligent InformationSystem for Decision Support

Key design principles:

• A single, simple interface• Conversion between data formats without user

intervention• Open architecture• Components need no knowledge about other

components of the system



NED-2: An Intelligent InformationSystem for Decision Support

Features:

• Robust ontology• Semi-autonomous agents• Blackboard architecture

External Models Blackboard

Prolog Clauses:

- Facts- Requests- Plans

Access Databases:

- User Preferences- Site Data- Inventory Data- Financial Data- Treatment Plans

Agents

Inference EnginesKnowledge Bases

Meta-knowledge Bases

Growth & Yield

Financial

GIS

Visualization

User Interface

NED-2 Architecture



• NED-2’s design was influenced with practicality as a motive:– Persistent data is stored in data- and knowledge

bases– Temporary information is stored as a set of

Prolog clauses – Information is stored as snapshots representing

the stand at a point in time under a particular treatment regime

NED-2 Ontology and Internal Data Model



Blackboard

NED-2 Blackboard/Database Integration

Metaknowledge:

Data Structure

Blackboard Handler

Prolog Clauses

Data cached in Prolog

Access Database

PrologQuery

Agents

PrologQuery

SQL

Example Query to retrieve information from the blackboard:

known(ba([stand(17),plan(`Maximize Timber`),year(2023)], BA)).



• NED-2 Interface Agent

• NED-2 Treatment Development Agent

• NED-2 Simulation Agent

NED-2 Agents Overview



Blackboard

Access Database

Inventory Data

Treatment Plans

Simulated Data

Metaknowledge:Semantics for Simulators

SimulationAgent

Knowledge Base:Treatment Definitions

Temporary InputFiles

Simulator

Temporary OutputFiles

NED-2 Simulation Agent






• NED-2 Goal Analysis Agent

• NED-2 GIS Agent




Blackboard

Access Database

Inventory Data

Goal Selections

Simulated Data

GISAgent

Temporary InputFiles

GIS

Shape File

NED-2 GIS Agent







• NED-2 GIS Agent

• NED-2 Report Writer Agent




Blackboard

Access Database

Inventory Data:- Goal Selections- Report Selections- Treatment Plans- Simulated Data

Report PlanningAgent

Reports - HTMLFiles

Plan – Series of Request:- Analysis- Report Writing

ReportWriter

GoalAnalysis

NED-2 Report Writer Agent







• NED-2 GIS Agent

• NED-2 Report Writer Agent

• NED-2 Planning Agent




• Alpha version of NED-2 including functionality described has been completed

• Expansions– Improve and extend the goal analysis rules in NED-2– Understory and ground level simulation models are in

development– Development of further regeneration models– Additional overstory growth and yield models– Integration of visualization tools– Integration of a financial analysis model

Future Plans

Northeastern Research Station Southern Research Station The University of Georgia Artificial...

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