Machine Learning and Planning for Data Management in Forestry

IEEE Expert-Intelligent Systems and their Applications

Volumn 10, Issue 6, 1995, Pages 35-41

  Matwin, Stan ^a   Charlebois, Daniel ^a   Goodenough, David G ^a   Bhogal, Pal ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; DATABASE SYSTEMS; EXPERT SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; LEARNING SYSTEMS; MANAGEMENT; MONITORING; PLANNING; PROBLEM SOLVING;

DATA MANAGEMENT; ENVIRONMENTAL MONITORING; FOREST MANAGEMENT;

FORESTRY;

EID: 0029501636     PISSN: 08859000     EISSN: None     Source Type: Journal    
DOI: 10.1109/64.483115     Document Type: Article

References (14)

1. S. Matwin, D. Charlebois, and D.G. Good-enough, “Training Agents in a Complex Environment,” Proc. 11th Conf. Artificial Intelligence for Applications, CS Press, 1995, pp. 94-100.
2. M.R. Genesereth and NJ. Nilsson, Logical Foundations of Artificial Intelligence, Morgan Kaufmann, San Francisco, 1987.
3. J.G. Carbonell, “Derivational Analogy: A Theory of Reconstructive Problem Solving and Expertise Acquisition,” in Machine Learning: An Artificial Intelligence Approach, R.S. Michalski, J.G. Carbonell, and T.M. Mitchell, eds., Morgan Kaufmann, 1986, pp. 371-392.
4. K.J. Hammond, Case-Based Planning: Viewing Planning as a Memory Task, Academic Press, San Diego, Calif., 1989.
5. M. Veloso, Learning by Analogical Reasoning in General Problem Solving, PhD thesis, Carnegie Mellon Univ., Pittsburgh, 1992.
6. R. Fikes, P. Hart, and N. Nilsson, “Learning and Executing Generalized Robot Plans,” in Readings in AI, B. Webber and N. Nilsson, eds., Morgan Kaufmann, 1981.
7. T.M. Mitchell, R.M. Keller, and S.T. Kedar-Cabelli, “Explanation-Based Generalization: A Unifying View,” in Readings in Machine Learning, J.W. Shavlik and T.G. Dietterich, eds., Morgan Kaufmann, 1990, pp. 435-451.
8. E.D. Sacerdoti, “The Nonlinear Nature of Plans,” Proc.IJCAI 75: Int'l Joint Conf Artificial Intelligence, Morgan Kaufmann, 1975, pp. 206-213.
9. G.J. Sussman, A Computational Model of Skill Acquisition, PhD thesis, Massachusetts Inst of Technology, Cambridge, Mass., 1973.
10. Q. Yang, “Merging Separately Generated Plans with Restricted Interactions, “ Computational Intelligence, Vol. 8, No. 4, 1992, pp. 648-676.
11. M. Veloso, “Planning for Complex Tasks: Replay and Merging of Multiple Simple Plans,” Proc. AAAI Spring Symp., Foundations of Automatic Planning: The Classical Approach and Beyond, AAAI Press, Menlo Park, Calif., 1993, pp. 146-150.
12. D. Charlebois, D.G. Goodenough, and S. Matwin, “Case-Based Reasoning in an Intelligent Information System for Forestry,” Proc. SPIE 94, Intl Soc. for Optical Engineering, Bellingham, Wash., 1994, pp. 64-74.
13. S. Minton, J. Bresina, and M. Drummond, “Commitment Strategies in Planning: A Comparative Analysis,” Proc. IJCAI 91:12th Intl Joint Conf. Artificial Intelligence, Morgan Kaufmann, 1991, pp. 259-265.
14. Guidelines to Maintain Biological Diversity in Coastal Forests, British Columbia Ministry of Forests and British Columbia Ministry of Environment, Lands, and Parks, Victoria, B.C., Canada, 1992.