Abstract
This paper presents a new model for the segmentation and analysis of living cells. A multi-agent model has been developped for this application. It is based on a generic agent model, which is composed of different behaviors: perception, interaction and reproduction. The agent is further specialized to accomplish a specific goal. Different goals are defined from the different components of the cell images. The specialization specifies the parameters of the behaviors for the achievement of the agent's goal. From these goal-oriented agents, a society is defined, and it evolves dynamically as the agents are created and deleted. An internal manager is integrated in the agent to control the behavior's execution. It makes use of an event-driven scheme to manage the behavior priorities. The present design is mainly oriented toward image segmentation, but includes some features on tracking and motion analysis.
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© 1997 Springer-Verlag Berlin Heidelberg
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Boucher, A., Garbay, C., Doisy, A., Ronot, X. (1997). A society of goal-oriented agents for the analysis of living cells. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029476
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DOI: https://doi.org/10.1007/BFb0029476
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