2024-03-28T21:09:54Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1348962022-02-07T15:35:51Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
Dynamic Distribution of Tasks in Health-Care Scenarios
Zato DomÃnguez, Davinia Carolina
Luis Reboredo, Ana de
Paz Santana, Juan Francisco de
Computer Science
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.
2017-09-06T09:14:37Z
2017-09-06T09:14:37Z
2011
info:eu-repo/semantics/article
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.
978-3-642-19930-1 (Print) / 978-3-642-19931-8 (Online)
1867-5662 (Print) / 1867-5670 (Online)
http://hdl.handle.net/10366/134896
en
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Unported
Springer Science + Business Media