摘要
针对肥胖症患者的减肥运动缺乏指导的问题,提出了一种多Agent环境下减肥锻炼指导系统设计方案.在该设计中,每个Agent均配备基于案例的推理能力和基于贝叶斯网络的分类能力.Agent之间通过减肥锻炼咨询语言进行协商,寻找最为相似的案例.实例验证表明,该系统具有可行性,为医疗保健领域的肥胖运动处方设计提供一种参考模型和解决算法.
In order to overcome the lack of advice in the procedure of weight reducing exercise of obesity patients,a consultation system design in a multi-agent environment is proposed for this kind of exercise.Each agent in the system equipped with abilities of case-based reasoning and classification by Bayesian network.A weight reducing exercise consultation language is utilized to serve communication between agents over ACL aiming to retrieve the most similar case.A simulation shows the feasibility and validity of the proposed solution.Consequently,the study offers a reference model and solution algorithm for obesity exercise prescription design in healthcare domain.
出处
《河北师范大学学报（自然科学版）》
CAS
北大核心
2011年第4期346-350,共5页
Journal of Hebei Normal University：Natural Science
基金
河北省教育厅自然科学研究项目(2009460)
关键词
基于案例的推理
多AGENT
锻炼处方
减肥
case-based reasoning
multi-agent
exercise prescription
weight reducing
