2026-09-16T01:43:45Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1348962024-06-21T10:51:05Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

Zato Domínguez, Davinia Carolina Luis Reboredo, Ana de De Paz, Juan F. 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. 2017-09-06 2017-09-06 2011 info:eu-repo/semantics/conferenceObject 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