Innovating multiagent algorithms for smart city: An overview

Takayuki Ito, S. Chakraborty, Ryo Kanamori, T. Otsuka
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引用次数: 4

Abstract

This research tackles the grand challenge on establishing multi-agent based computational social mechanism design theories, in which we focus on developing novel social systems and mechanisms that are globally optimized by using computers and networks, and apply them to society simulations and real world applications. This research tries to enable to construct a globally-optimized social systems, which have not been realized yet, by using new multi-agent algorithms that employ pricing mechanisms, matching mechanisms, and scoring mechanisms with the computing power and network infrastructures. In this paper, we introduce the overall vision of this project and present some of the current research results. This research has been supported by Funding Program for Next Generation World-Leading Researchers (NEXT Program) of the Japan Cabinet Office.
智慧城市多智能体算法创新综述
本研究解决了建立基于多智能体的计算社会机制设计理论的重大挑战,重点研究了利用计算机和网络开发全局优化的新型社会系统和机制,并将其应用于社会模拟和现实世界。本研究试图利用新的多智能体算法,结合计算能力和网络基础设施,采用定价机制、匹配机制和评分机制,构建一个尚未实现的全局优化的社会系统。在本文中,我们介绍了该项目的总体愿景,并介绍了一些目前的研究成果。本研究得到了日本内阁府下一代世界顶尖研究人员资助计划(Next Program)的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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