期刊文献+

Agent仿真技术在科技政策决策支持中的应用 被引量:2

Application of Agent Simulation in Technological Policy Making Decision Support
下载PDF
导出
摘要 目前采用基于Agent的建模与仿真(Agent-based Modeling and Simulation,ABMS)方法建立的人工社会模型大多是概念模型或者演示模型,还不能针对现实中的具体对象进行解释和分析。首先讨论采用ABMS方法建立人工社会模型的思路,然后采用ABMS方法针对具体的广州软件产业集群进行建模,并给出企业技术创新行为的仿真描述,最终建立的计算机仿真模型可以应用于分析政府税率、创新回报率、研发周期、社会网络和研发投入比例等因素对整个软件产业集群技术创新的影响,提供科技政策制定决策支持。 Most artificial society models which are built on agent -based modeling and simulation (ABMS) methodology are only concept models or demos. These models can not be used to analyze and describe the real phenomena. Firstly, the paper discusses the idea of artificial society models on ABMS, and builds the concrete model of the software industrial clus- ter of Guangzbou by using ABMS methodology. The paper also gives the simulation description of enterprise innovation be- havior in the model. The result shows that the model can be applied to policy making decision support. By the model, the effect of the change of government tax, return rate , research cycle, social network, and research investment ratio/rate on the technology innovation of industrial cluster can also be observed.
作者 赵剑冬 黄战
出处 《科技管理研究》 CSSCI 北大核心 2012年第2期156-160,共5页 Science and Technology Management Research
基金 广东高校优秀青年创新人才培养计划项目资助(WYM09110) 广东技术师范学院科研基金项目(GDIN2011)
关键词 产业集群 仿真 人工社会 决策支持 企业 industry cluster simulation artificial society decision support enterprise
  • 相关文献

参考文献9

  • 1EPSTEIN J M, R AXTELL. Growing artificial societies: Social sci- ence from the bottom up [ A ] //Complex adaptive systems [ M]. Washington, D. C. : Brookings Institution Press, 1996.
  • 2AXELROD. Advancing the Art of Simulation in the Social Sciences [ J ]. Japanese Journal for Management Information System, Special Issue on Agent - Based Modeling, 2003, 12 (3) : 1 - 18.
  • 3CHARLES M MACAL, MICHAEL J NORTH. Tutorial on Agent - based modeling and simulation [ C ]. Proceedings of the 2005 Winter Simulation Conference, Orlando, USA, 2005.
  • 4NIGEL GILBERT, KLAUS G TROITZSCH. Simulation for the Social Scientist Second Edition [M]. Buckingham : Open University Press, 2005.
  • 5CANDELARIA SANSORES, JUAN PAVoN. Agent Based Simulation for Social Systems from Modeling to Implementation [ C ]. The 11 th Conference of the Spanish Association for Artificial Intelligence ( CAE- PIA 2005), Santiago de Compostela, Spain, 2006.
  • 6石纯一,张伟.基于Agent的计算[M].北京:清华大学出版社.2007:11-12,119-120.
  • 7林健,赵剑冬.基于Agent的社会学仿真研究[J].计算机仿真,2008,25(5):259-262. 被引量:5
  • 8赵剑冬,林健.基于Agent的Repast仿真分析与实现[J].计算机仿真,2007,24(9):265-268. 被引量:14
  • 9林健,赵剑冬.基于Agent建模与基于方程建模的比较[J].系统管理学报,2009,18(1):111-116. 被引量:3

二级参考文献19

  • 1张江,李学伟.人工社会——基于Agent的社会学仿真[J].系统工程,2005,23(1):13-20. 被引量:41
  • 2朱江,伍聪.基于Agent的计算机建模平台的比较研究[J].系统工程学报,2005,20(2):160-166. 被引量:18
  • 3林健,范佳凤.集群企业协同创新的智猪博弈恶化及治理[J].系统工程,2006,24(4):31-34. 被引量:16
  • 4罗批,胡晓峰,司光亚,张忠海.战争系统人工社会的研究实践与几点思考[J].系统仿真学报,2006,18(12):3589-3592. 被引量:3
  • 5R Tobias and C Hofmann.Evaluation of Free Java-libraries for Social-scientific Agent Based Simulation[J].Journal of Artificial Societies and Social Simulation,2004,7(1):1 -33.
  • 6M J North,N T Collier and J R Vos.Experiences Creating Three Implementations of the Repast Agent Modeling Toolkit[C].ACM Transactions on Modeling and Computer Simulation,2006,16(1):1 -25.
  • 7Axelrod. Advancing the Art of Simulation in the Social Sciences [ J]. Japanese Journal for Management Information System, Special Issue on Agent - Based Modeling, 2003, 12 (3) : 1 - 18.
  • 8Charles M Macal, Michael J. North. Tutorial on Agent - based modeling and simulation [ C ]. Proceedings of the 2005 Winter Simulation Conference, Orlando, USA, 2005.
  • 9Nigel Gilbert, Klaus G Troitzsch. Simulation for the Social Scientist Second Edition [ M ]. Buckingham: Open University Press , 2005.
  • 10J M Epstein, R Axtell. Growing artificial societies: social science from the bottom up. Complex adaptive systems. 1996, Washington, D. C. : Brookings Institution Press.

共引文献52

同被引文献46

  • 1王红霞,高山行.基于资源利用的企业R&D投入与创新产出关系的实证研究[J].科学学研究,2008,26(S2):567-572. 被引量:31
  • 2刘凤朝,孙玉涛.我国科技政策向创新政策演变的过程、趋势与建议——基于我国289项创新政策的实证分析[J].中国软科学,2007(5):34-42. 被引量:183
  • 3刘斌 王春福 等.政策科学研究(第1卷)[M].北京:人民出版社,2000.86.
  • 4伍蓓,陈劲,王姗姗.科学、技术、创新政策的涵义界定与比较研究[J].科学学与科学技术管理,2007,28(10):68-74. 被引量:41
  • 5约翰·H·霍兰.隐秩序:适应性造就复杂性[M].周晓牧,韩晖,译.上海:上海科技教育出版社,2000.
  • 6FISCHER F, MILLER G J, SIDNEY M S. Handbook of Public Policy Analysis: Theory, Politics and Methods [M]. NewYork:CRC Press,2007.
  • 7RADIN B A. Beyond Machiavelli: Policy Analysis Comes of Age [ M]. Washington, DC: Georgetown University Press, 2000.
  • 8WEGLOOP P. Linking firm strategy and government ac- tion:towards a resource-based perspective on innovation and technology policy[J]. Technology In Society, 1995,17(4):413-428.
  • 9WEISS C H, MURPHY-GRAHAM E, BIRKELAND S. An alternate route to policy influence- how evaluations affect D. A. R. E. [J]. American Journal of Evaluation, 2005,26(1) :12-30.
  • 10WEBER K M,ROHRACHER H. Legitimizing research, technology and innovation policies for transformative change:combining insights from innovation systems and multi-level perspective in a comprehensive 'failures" framework[J]. Research Policy Special Section on Sus- tainability Transitions,2012,41(6) : 1037-1047.

引证文献2

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部