This paper presents a multiagent system that use an autonomous deliberative case-based reasoningagent to design an efficient working day. The system has been developed to plan and distribute tasks in a health care scenario, specifically in geriatric residences. This model generates a planning of tasks, minimizing the resources necessary for its accomplishment and obtaining the maximum benefits. For this purpose, the queuing theory and genetic algorithms have been include in a CBRarchitecture to obtain an efficient distribution. To evaluate the model, the obtained results have been compared with a previous method of planning based on neural networks. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Zato, C., De Luis, A., & De Paz, J. F. (2011). Dynamic distribution of tasks in health-care scenarios. In Advances in Intelligent and Soft Computing (Vol. 90, pp. 51–58). https://doi.org/10.1007/978-3-642-19931-8_7
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