
Information Related to Ongoing Research to
Develop a Decision Support System for
Trumpeter Swan Management
This is a collaborative project between the Northern Rocky Mountain Science Center and Midcontinent Ecological Science Center of the USDI-Geological Survey, and the Migratory Bird Program of the USDI-Fish and Wildlife Service (Region 6), and is jointly funded.
- Explore the "Breeding Habitat Needs for Trumpeter Swans" knowledge base (in development)
- Explore the "Management of Palustrine Wetlands in the Northern Rockies" knowledge base (in development)
- Explore the "Contribution an Area Can Make Towards the Flyway Management Plan" knowledge base (in development)
Notes on using the DECAF agent architecture for developing the decision support system:
Notes from the knowledge engineering sessions:
- the breeding habitat knowledge base
- Documentation for the ecological logic behind the rules in the breeding habitat knowledge base
- Flowchart depicting the general modular tree structure of the knowledge base, "Breeding Habitat Needs for Trumpeter Swans", which currently consists of 157 rules
- the migration chronologies and pathways knowledge base
- Tables delineating probabilities of migration linkage
- the montane wetland management knowledge base
- Flowchart depicting the general modular tree structure of the knowledge base, "Management of Palustrine Emergent Wetlands in the Northern Rockies", which currently consists of 1,852 rules
- the principles of flyway management knowledge base
- Flowchart depicting the decision tree entitled, "Can this area contribute to the RMP Plan's breeding population goals?"
- Flowchart depicting the decision tree entitled, "Can this area contribute to the RMP Plan's objective of redistributing wintering swans?"
- integrating distributed AI and flyway management
- Table delineating consequences of recommended water levels on wetlands and swans
Slides from Sojda and Howe's paper from the Environmental Decision Support Systems and Artificial Intelligence Workshop, sponsored by the American Association for Artificial Intelligence (AAAI-99)
Potential rule bases and frames
About modularity in rule bases
Draft
discussion document about using multiagent systems and BDI architectures
...in collaboration with the Environmental Statistics Group in the Biology Department at Montana State University
Notes from conference call (8 November 1999) on data analysis of swan numbers
Links
to more information