全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

多主体系统在城市发展模拟中的应用

DOI: 10.11820/dlkxjz.2012.06.012, PP. 761-767

Keywords: 城市发展,多主体系统,微观模拟

Full-Text   Cite this paper   Add to My Lib

Abstract:

多主体系统(Multi-AgentSystem,MAS)是由多个主体(Agent)组成的松散的网络,每个主体根据其属性和行为规则互相交流、协作甚至竞争。MAS通过模拟和观察大量主体的微观行为来研究系统整体的宏观规律,对复杂系统的演化机理具有更合理、更准确的解释力,因此,MAS在城市发展模拟中有很大的应用前景。本文介绍了多主体系统的基本框架及模拟思路,综述了国内外城市模拟研究中MAS理论的应用现状。重点分析了MAS理论在城市模拟应用中的五个关键课题即微观个体数据的获取、微观主体的合理选择、主体行为规则的提取和设定、主体之间相互作用的描述与表达、环境变量的提取与导入等,并对相关研究进展进行了综述。研究表明,城市发展预测与政策评价是MAS应用的重点突破方向之一。

References

[1]  倪建军, 李建, 范新南. 基于多Agent 复杂系统仿真平台研究. 计算机仿真, 2007, 24(12): 283-286.
[2]  Park S, Sugumaran V. Designing multiagent systems: Aframework and application. Expert Systems with Applications,2005, 28: 259-271.
[3]  沈体雁, 李迅. 基于多主体的城市微模拟平台GridABGIS研究. 北京大学学报: 自然科学版, 2007(4):502-508.
[4]  王立娟. 基于多主体仿真的西直门立交桥拥塞分析. 计算机仿真, 2007(10): 225-228, 232.
[5]  Long Y, Mao Q, Dang A. Beijing urban developmentmodel: Urban growth analysis and simulation. TsinghuaScience and Technology, 2009, 14(6): 787-794.
[6]  龙瀛, 沈振江, 毛其智. 城市系统微观模拟中的个体数据获取新方法. 地理学报, 2011, 66(3):416-426.
[7]  刘志刚. 智能主体主要理论的综述与分析. 计算机应用研究, 2002(7): 1-5.
[8]  彭成. 基于MAS的城市应急中心系统设计. 计算机仿真, 2005(12): 127-131.
[9]  倪建军, 李建, 范新南. 基于多Agent 复杂系统仿真平台研究. 计算机仿真, 2007, 24(12): 283-286.
[10]  Park S, Sugumaran V. Designing multiagent systems: Aframework and application. Expert Systems with Applications,2005, 28: 259-271.
[11]  王立娟. 基于多主体仿真的西直门立交桥拥塞分析. 计算机仿真, 2007(10): 225-228, 232.
[12]  傅星, 林寅. 基于多主体的中国转型经济模型研究. 经济与管理研究, 2005(3): 20-23.
[13]  晁怡, 李清泉, 陈顺清. 基于多主体系统的区位建模. 武汉大学学报: 信息科学版, 2007(7): 646-649.
[14]  Long Y, Mao Q, Dang A. Beijing urban developmentmodel: Urban growth analysis and simulation. TsinghuaScience and Technology, 2009, 14(6): 787-794.
[15]  龙瀛, 沈振江, 毛其智. 城市系统微观模拟中的个体数据获取新方法. 地理学报, 2011, 66(3):416-426.
[16]  彭成. 基于MAS的城市应急中心系统设计. 计算机仿真, 2005(12): 127-131.
[17]  陈干, 闾国年, 王红. 城市模型的发展及其存在问题. 经济地理, 2000, 20(5): 59-62, 71.
[18]  Crooks A, Castle C, Batty M. Key challenges inagent-based modeling for geo-spatial simulation. Computers,Environment and Urban Systems, 2008, 32(6):417-430.
[19]  Ligtenberg A. A design and application of a multi-agentsystem for simulation of multi-actor spatial planning.Journal Environmental Management, 2004, 72(1-2):43-55.
[20]  Loibl W, Toetzer T. Modeling growth and densificationprocesses in suburban regions: Simulation of landscapetransition with spatial agents. Environmental Modelling& Software, 2003, 18(6): 553-563.
[21]  Fontaine C M, Rounsevell M D A. An agent-based approachto model future residential pressure on a regionallandscape. Landscape Ecology, 2009, 24(9): 1237-1254.
[22]  Benenson I. Multi-agent simulations of residential dynamicsin the city. Computers, Environment and Urban Systems,1998, 22(1): 25-42.
[23]  Shen Z J, Yao X B, Kawakami M, et al. Simulating spatialmarket share patterns for impacts analysisoflarge-scale shopping centers on downtown revitalization.Environment and Planning B, 2011, 38(1): 142-162.
[24]  Moulin B, Chaker W, Perron J, et al. MAGS project:Multi-agent GeoSimulation and crowd simulation//KuhnW, Worboys M. Spatial Information Theory, Proceedingsfoundations of Geographic Information Science Book:Lecture Notes In Computer Science, 2003: 151-168.
[25]  Lombardo S, Petri M, Zotta D. Intelligent Gis and retaillocation dynamics: A multi agent system integrated withArcGis/Gavrilova M L, Kumar V, Mun Y. Computationalscience and its applications: ICCSA 2004, PT 2 Book:Lecture Notes In Computer Science, 2004: 1046-1056.
[26]  Wooldridge M. Intelligent agents: Theory and practice.Knowledge Engineering Review, 1995, 10(2):115-152.
[27]  刘志刚. 智能主体主要理论的综述与分析. 计算机应用研究, 2002(7): 1-5.
[28]  陈干, 闾国年, 王红. 城市模型的发展及其存在问题. 经济地理, 2000, 20(5): 59-62, 71.
[29]  Crooks A, Castle C, Batty M. Key challenges inagent-based modeling for geo-spatial simulation. Computers,Environment and Urban Systems, 2008, 32(6):417-430.
[30]  Ligtenberg A. A design and application of a multi-agentsystem for simulation of multi-actor spatial planning.Journal Environmental Management, 2004, 72(1-2):43-55.
[31]  Loibl W, Toetzer T. Modeling growth and densificationprocesses in suburban regions: Simulation of landscapetransition with spatial agents. Environmental Modelling& Software, 2003, 18(6): 553-563.
[32]  Fontaine C M, Rounsevell M D A. An agent-based approachto model future residential pressure on a regionallandscape. Landscape Ecology, 2009, 24(9): 1237-1254.
[33]  Benenson I. Multi-agent simulations of residential dynamicsin the city. Computers, Environment and Urban Systems,1998, 22(1): 25-42.
[34]  Shen Z J, Yao X B, Kawakami M, et al. Simulating spatialmarket share patterns for impacts analysisoflarge-scale shopping centers on downtown revitalization.Environment and Planning B, 2011, 38(1): 142-162.
[35]  Moulin B, Chaker W, Perron J, et al. MAGS project:Multi-agent GeoSimulation and crowd simulation//KuhnW, Worboys M. Spatial Information Theory, Proceedingsfoundations of Geographic Information Science Book:Lecture Notes In Computer Science, 2003: 151-168.
[36]  Lombardo S, Petri M, Zotta D. Intelligent Gis and retaillocation dynamics: A multi agent system integrated withArcGis/Gavrilova M L, Kumar V, Mun Y. Computationalscience and its applications: ICCSA 2004, PT 2 Book:Lecture Notes In Computer Science, 2004: 1046-1056.
[37]  周成虎, 孙战利, 谢一春. 地理元胞自动机研究. 北京:科学出版社, 1999.
[38]  薛领, 杨开忠, 城市演化的多主体(multi-agent)模型研究. 系统工程理论与实践, 2003(12): 1-9, 17.
[39]  Wooldridge M. Intelligent agents: Theory and practice.Knowledge Engineering Review, 1995, 10(2):115-152.
[40]  沈体雁, 李迅. 基于多主体的城市微模拟平台GridABGIS研究. 北京大学学报: 自然科学版, 2007(4):502-508.
[41]  林波, 薛惠锋, 蔡琳. 城市空间演化MAS建模. 微计算机应用, 2007(10): 1092-1097.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133