This paper discusses the possibility of utilizing a multiagent system as a platform for development of a smart adaptive system in medicine. A knowledge-based model of the agents’ mutual awareness (social knowledge) is presented. The tri-base acquaintance (3bA) model formalizing the agent’s social behaviour knowledge and co-operation neighbourhood knowledge is enhanced to support attention focussing and to ensure a holistic complex perception of the problem. The paper focuses on an analysis of the content of 3bA knowledge bases for applications in medical decision support. An architecture for a multiagent system, ADAM, for medical decision support and monitoring is proposed.
Baujard, O., Baujard, V., Aurel, S., Boyer, C., and Appel, R. D.1998: MARVIN, a multiagent softbot to retrieve multilingual medical information on the Web. Medical Information23, 187-191.
2.
Decker, K. and Li, J. 1998: Coordinated hospital patient scheduling. In Proceedings of the Fourth International Conference on Multi-agent systems, ICMAS-98, Paris.
3.
Fejtova, M., Lhotska, L., and Macek, J. 2001: ECG Event detection and classification using wavelet transform and decision trees. In EUNITE 2001 European Symposium on Intelligent technologies, hybrid systems and their implementation on smart adaptive systems, Aachen, Verlag, Mainz.
4.
Hayes-Roth, B.1985: A blackboard architecture for control. Artificial Intelligence26, 251-320.
5.
Hernando, M. E., Gomez, E. J., Alvarez, P. and del Pozo, F.2002: Intelligent alarms integrated in a multi-agent architecture for diabetes management. In Intelligent e-health applications in medicine and other medical applications of adaptive/hybrid intelligent systems. University of the Aegean, Chios, Greece, Vol. 1, 64-68.
6.
Huang, J., Jennings, N. R. and Fox, J.1995: An agent-based approach to health care management. Applied Artificial Intelligence9, 401-420.
7.
Klema, J., Lhotska, L., Stepankova, O. and Palous, J.2000: Instance-based modelling in medical systems. In Cybernetics and Systems 2000, Vol. 2. Vienna: Austrian Society for Cybernetics Studies, 365-370.
8.
Knublauch, H., Rose, T. and Sedlmayr, M. 2000: Towards a multi-agent system for pro-active information management in anesthesia. In Proceedings of the Agents-2000 Workshop on autonomous agents in health care, Barcelona.
9.
Lhotska, L., Marik, V. and Vlcek, T.2001: Medical applications of enhanced rule-based expert systems. International Journal of Medical Informatics63, 61-75.
10.
Lhotska, L. and Zvolanek, M.2002: Adaptive segmentation and classification of non-stationary and time-varying signals. In Intelligent e-health applications in medicine and other medical applications of adaptive/hybrid intelligent systems. University of the Aegean, Chios, Greece, Vol. 1, 167-172.
11.
Marik, V., Pechoucek, M. and Stepankova, O.2002: Organization of social knowledge in multi-agent systems. Integrated Computer-Aided Engineering9, 1-12.
12.
Novak, P., Rollo, M., Hodik, J. and Vlcek, T.2003: Communication security in multi-agent systems. In: Multi-agent systems and applications III. Heidelberg: Springer, 454-463.
13.
Pechoucek, M., Riha, A., Vokrinek, J., Marik, V. and Prazma, V.2002: ExPlanTech: applying multi-agent systems in production planning. International Journal of Production Research40, 3681-3692.
14.
Shapiro, S. C., editor. 1990: Encyclopedia of artificial intelligence. John Wiley & Sons, New York.
15.
Stefik, M.1995: Introduction to knowledge systems. San Francisco: Morgan Kaufmann.
16.
Sycara, K. 2001: Multiagent infrastructure, agent discovery, middle agents for web services and interoperation. In Luck Met al., editors. ACAI 2001, Heidelberg, Springer-Verlag.
17.
Weiss, G., editor. 1999: Multiagent systems: a modern approach to distributed artificial intelligence. Cambridge, MA: MIT Press.
18.
Wooldridge, M. and Jennings, N. R.1995: Agent theories, architectures, and languages: a survey. In Wooldridge M., Jennings N. R., editors. Intelligent agents. Heidelberg: Springer-Verlag.
