期刊文献+

复杂系统预期行为仿真的演化建模研究 被引量:3

Studies of Evolutionary Modeling of Expectation Behavior Simulation in Complex Systems
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摘要 计算机建模与仿真技术在复杂系统研究中的应用日益受到重视。在复杂系统主动行为划分中,最基本的一类就是预期。这种预期都基于自己内心对外部世界认识的假设模型之上,并不断改进、演化。本文介绍并讨论了复杂系统主体预期行为的演化建模与仿真方法,主要内容包括:理性预期;有限理性;适应有限理性及演化建模,演化计算。讨论了存在的问题,应用前景和发展趋势。 There is growing interest in using computer modeling and simulation to explore issues in the complex systems. All complex systems anticipate the future,make predictions on its internal model of the world. So studies of modeling andsimulation of system agents expectation behavior is very important in system study. In this paper the evolutionary modeling and simulation method of expectation behavior was introduced. Inclusion: Rational expectation, bounded rational, evolutionary modeling, evolutionary computation, adaptive bounded rational method, and their application as well asproblem.
作者 王正中
出处 《系统仿真学报》 CAS CSCD 2004年第9期1898-1900,共3页 Journal of System Simulation
关键词 复杂系统 预期 适应 演化 建模 complex system expectation adaptation evolution modeling
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参考文献23

  • 1Holland H. Adaptation in Natural and Artificial System [M]. Univ. of Michigan press, Ann Arbor, MI, 1975. 被引量:1
  • 2Holland J H. Cognitive System Based on Adaptive Algorithms [A]. in D.A.Waterman and F. Hayes-Roth(eds), pattern - Directed Inference System[C]. NY: Academic Press, 1978. 被引量:1
  • 3Metzler L. The Nature and Stability of Inventory Cycles [J]. Review of Economics and Statistics, 1941, 23(8): 113-129. 被引量:1
  • 4Cagan P. The Monetary Dynamics of Hyperinflation [M]. Chiacago. Univ. Chicago press, 1956. 被引量:1
  • 5Muth J. Rational Expectation and Theory of Price Movements [J]. Econometrica, 1961, 29(7): 315-335. 被引量:1
  • 6Simon H A. Models of Bounded Rationality. Combridge [M]. MA: The MIT Press, 1982. 被引量:1
  • 7Booker. Clsaaifer System and Genetic Algorithms [J]. Artificial Intelligence, 1989, 40: 235-282. 被引量:1
  • 8Wilson S.W. ZCS: A Zeroth Level Classifer System [J]. Evolutionary Computation, 1994, 1(2): 1-18. 被引量:1
  • 9Dorigo M. Alccsys: A Parallel Laboratory for Learning Classifer System [C]. San Diego CA: Proc. of Fourth International Conference on Genetic Algorthm, 1991, 13-16. 被引量:1
  • 10Richards R. Learning Classifier System in Design Optimization [A]. Design Theory and Methodology ''92'' ASME [C]. 1992. 被引量:1

二级参考文献23

  • 1马颂德.国外“神经网络”研究[A]..中国自动化学会1988年会论文集[C].,1988.118-123. 被引量:1
  • 2王雨田.控制论,信息论,系统科学与哲学[M].北京:中国人民大学出版社,1984.. 被引量:1
  • 3Faldrop M. Complexity, The emerging science at the edge of order and chaos[C]. Sterling Lord Literstic, Inc. 1995. 被引量:1
  • 4Holland J. The global economy as an adaptive process[M]. SFI, 1987. 被引量:1
  • 5Carter M, Maddock R. Rational Expectations[M]. Macmillan Publishers Ltd, 1984. 被引量:1
  • 6Weimar R. Simulation with cellular automata[M], tech. Univ.Brannsclrweig, 1996. 被引量:1
  • 7Prigogine I, Stengers I. Order out of chaos[M]. Bantam books Inc,1984. 被引量:1
  • 8Simon H A. Models of thought[M]. New Haven CT, Yale Univ. Press,1979. 被引量:1
  • 9haken H. Advance Synergetics[M]. Berain Springer, 1995. 被引量:1
  • 10Sterman J. Business dynamics[C]. System thinking and modeling for complex world, Irwin\Mcgran-hill, 2000. 被引量:1

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