The Wisconsin Division of Narcotics Enforcement Uses Multi-Agent Information Systems to Investigate Drug Crimes

References

• Bhattacharyya S., Pendharkar P. C. Inductive, evolutionary and neural techniques for discrimination: A comparative study. Decision Sci. (1999) . ForthcomingGoogle Scholar
• Durfee E. H., Lesser V. R., Corkill D. D. Trends in cooperative distributive problem solving. IEEE Trans. Knowledge and Data Engrg. (1989) 11(1):63–83Crossref, Google Scholar
• Grabowski M. Knowledge acquisition methodologies: Survey and empirical assessment. Proc. Ninth Internat. Conf. Inform. Systems (1988) Minneapolis:65–71Google Scholar
• Gupta A., Bhaskar R. Survey of information technology in Wisconsin. Wisconsin Department of Justice Law Enforcement Bull. (1993) 5–6Google Scholar
• Hoffman R. R. The problem of extracting knowledge of expert from the perspective of experimental psychology. AI Magazine (1987) 4(3):53–67Google Scholar
• Lesser V. R., Corkill D. D., Shapiro Stuart C. Distributed problem solving. Encyclopedia of Artificial Intelligence (1987) (John Wiley and Sons, New York) 245–251Google Scholar
• Park S., Bhaskar R. Reengineering through information engineering: Experience from the division of narcotics enforcement case. J. Inform. Tech. Management (1994) 5(2):1–9Google Scholar
• Quinlan J. R.C4.5 Programs for Machine Learning (1993) (Morgan Kaufmann, San Mateo, California) Google Scholar
• Shaw M. J., Whinston A. B. Learning and adaptation in distributed artificial intelligence. Distributed Artificial Intelligence (1989) (Pitman editions, London) 413–429Crossref, Google Scholar
• Sian S. S. Extending learning to multiple agents: Issues and a model for multi-agent machine learning. Machine Learning-European Workshop Session on Learning (1991) (Porto, Portugal)440–456Crossref, Google Scholar
• Sikora R., Shaw M. J. A distributed problem-solving approach to inductive learning. (1991) . Working paper, 91-0109, College of Commerce and Business Administration, University of Illinois-Urbana-Champaign, IllinoisGoogle Scholar
• Smith R. G., Davis R. Frameworks for cooperation in distributed problem solving. IEEE Trans. Systems, Man, and Cybernetics (1981) 11(1):61–70Crossref, Google Scholar
• Weiss G. Adaptation and learning in multi-agent systems: Some remarks and a bibliography. Proc. IJCAI 1995 Workshop (1995) Montreal, Canada:1–21Google Scholar