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Combining Artificial Intelligence and NetMedicine for Ambient Assisted Living: A Distributed BDI-based Expert System

机译:结合人工智能和NetMedicine进行环境辅助生活:基于BDI的分布式专家系统

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摘要

World population is shifting towards older ages: according to recent estimates there will be 1.5 billion people over 65 years old in 2050. Local governments, international institutions, care organizations and industry are fostering the research community to find solutions to face the unprecedented challenges raised by population ageing. A combination of Artificial Intelligence and NetMedicine could be ideal to face these challenges: they provide the means to develop an intelligent system and simultaneously to distribute it over a network allowing the communication over the internet, if needed. Hence, the authors present a Multi-Agent Architecture for Ambient Assisted Living (AAL): it is the model for a system to manage a distributed sensor network composed by ambient and biometric sensors. The system should analyse data and pro-active ly decide to trigger alarms if anomalies are detected. The authors tested the architecture implementing a prototypical Multi-Agent System (MAS), based on Belief-Desire-lntention (BDI) paradigm: the Virtual Carer.
机译:世界人口正在向老年人迈进:根据最近的估计,到2050年,全球65岁以上的人口将达到15亿。地方政府,国际机构,护理组织和行业正在培育研究界,以寻求解决方案,以应对由前者提出的前所未有的挑战人口老龄化。人工智能和NetMedicine的结合可能是应对这些挑战的理想之选:它们提​​供了开发智能系统并同时在网络上分发它的方法,并允许在需要时通过Internet进行通信。因此,作者提出了一种用于环境辅助生活(AAL)的多Agent架构:它是用于管理由环境传感器和生物识别传感器组成的分布式传感器网络的系统的模型。系统应分析数据并主动决定是否在检测到异常时触发警报。作者测试了基于信念-愿望-意图(BDI)范例:虚拟护理者,实现原型多代理系统(MAS)的体系结构。

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