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Multi-agent Approach for Smart Resilient City

机译:智能弹性城市的多智能辅导方法

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The Smart City concept now entirely relies on information and communication technologies (ICT) with projects providing new or better services for city residents. The resilience of a city, from our perspective, should also rely on ICT. Resilience as a service implies predictive modelling and "what if analysis for better reaction at unpredictable events and providing emergency services in critical modes of city life. Resilience as a property of a city means working as normally as possible for citizens when extreme events occur and also adaptively react and change the system's behavior when normal mode has no chance to be applied. This paper provides a review and analysis of the resilient properties of existing Smart City frameworks and offers a new concept of a resilient city based on the Demand-Resource (DR) model, multi-agent system (MAS) and ontologies. The main idea of this concept is to create an ICT framework that is resilient by design. For this, it should operate as a digital ecosystem of smart services. The framework development process is divided into two main steps: first to create Smart City simulation software for modelling, planning, and strategic assessment of urban areas as a set of models at different levels of abstraction. The second step involves the full integration of all services in one dynamic adaptive real-time digital ecosystem with resilient properties.
机译:智能城市概念现在完全依赖于信息和通信技术(ICT),其中包括为城市居民提供新的或更好的服务。从我们的角度来看,一个城市的恢复力也应该依靠ICT。作为服务的弹性意味着预测性建模和“如果在不可预测的事件中进行更好的反应,以及在城市生活中的临时模式下提供紧急服务的情况下的何种问题当正常模式没有机会时,自适应地反应和改变系统的行为。本文提供了对现有智能城市框架的弹性特性的审查和分析,并根据需求资源提供了一个弹性城市的新概念(DR )模型,多代理系统(MAS)和本体。这个概念的主要思想是创建一个由设计有弹性的ICT框架。为此,它应该作为智能服务的数字生态系统运行。框架开发过程是分为两个主要步骤:首先要为城市地区的建模,规划和战略评估为一系列模型来创建智能城市仿真软件抽象级别。第二步涉及在一个动态自适应实时数字生态系统中完全集成所有服务,具有弹性属性。

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