The wisconsin division of narcotics enforcement uses multi-agent information systems to investigate drug crimes

Interfaces

Volumn 29, Issue 3, 1999, Pages 77-87

  Bhaskar, Rahul ^a,b   Pendharkar, Parag C ^c  

^a Talus Solutions Inc   (United States)

^b JAMES MADISON UNIVERSITY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0038928815     PISSN: 00922102     EISSN: None     Source Type: Journal    
DOI: 10.1287/inte.29.3.77     Document Type: Article

References (13)

1. Bhattacharyya, S. and Pendharkar, P. C. forthcoming, "Inductive, evolutionary and neural techniques for discrimination: A comparative study," Decision Sciences.
2. Durfee, E. H.; Lesser, V. R.; and Corkill, D. D. 1989, "Trends in cooperative distributive problem solving," IEEE Transactions on Knowledge and Data Engineering, Vol. 11, No. 1, pp. 63-83.
3. Grabowski, M. 1988, "Knowledge acquisition methodologies: Survey and empirical assessment," Proceedings of the Ninth International Conference on Information Systems, Minneapolis, pp. 65-71.
4. Gupta, A. and Bhaskar, R. 1993, "Survey of information technology in Wisconsin," Wisconsin Department of Justice Law Enforcement Bulletin, pp. 5-6.
5. Hoffman, R. R. 1987, "The problem of extracting knowledge of expert from the perspective of experimental psychology," AI Magazine, Vol. 4, No. 3, pp. 53-67.
6. Lesser, V. R. and Corkill, D. D. 1987, "Distributed problem solving," Encyclopedia of Artificial Intelligence, ed. Stuart C. Shapiro, John Wiley and Sons, New York, pp. 245-251.
7. Park, S. and Bhaskar, R. 1994, "Reengineering through information engineering: Experience from the Division of Narcotics Enforcement Case," Journal of Information Technology Management, Vol. 5, No. 2, pp. 1-9.
8. Quinlan, J. R. 1993, C4.5 Programs for Machine Learning, Morgan Kaufmann, San Mateo, California.
9. Shaw, M. J. and Whinston, A. B. 1989, "Learning and adaptation in distributed artificial intelligence," Distributed Artificial Intelligence, Pitman editions, London, pp. 413-429.
10. Sian, S. S. 1991, "Extending learning to multiple agents: Issues and a model for multi-agent machine learning," Machine Learning-European Workshop Session on Learning, Porto, Portugal, pp. 440-456.
11. Sikora, R. and Shaw, M. J. 1991, "A distributed problem-solving approach to inductive learning," Working paper, 91-0109, College of Commerce and Business Administration, University of Illinois-Urbana-Champaign, Illinois.
12. Smith, R. G. and Davis, R. 1981, "Frameworks for cooperation in distributed problem solving," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 11, No. 1, pp. 61-70.
13. Weiss, G. 1995, "Adaptation and learning in multi-agent systems: Some remarks and a bibliography," Proceedings of IJCAI 1995 Workshop, Montreal, Canada, pp. 1-21.