Dynamic Distribution of Tasks in Health-Care Scenarios
Fecha de publicación
Springer Science + Business Media
Trends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 90, pp. 51-58.
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.
978-3-642-19930-1 (Print) / 978-3-642-19931-8 (Online)
1867-5662 (Print) / 1867-5670 (Online)
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