Catastrophes and unexpected behavior patterns in complex artificial populations [electronic resource]

• 作者： Raczynski, Stanislaw.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Evolutionary economics and social complexity science ;
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： Evolutionary economics and social complexity science,v.27
• 主題： Computer simulation. , Heterodox Economics. , Institutional/Evolutionary Economics. , Simulation and Modeling. , Education, general.
• ISBN： 9789811625749 (electronic bk.) 、 9789811625732 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Preface -- Chapter 1. Catastrophes and agent-based models -- Chapter 2. BLUESSS simulation package -- Chapter 3. Behavior patterns of an artificial society -- Chapter 4. Extended prey-predator model -- Chapter 5. Stock market: Uncertainty and catastrophes -- Chapter 6. Epidemics -- Chapter 7. Growing organism and cancer -- Chapter 8. Work, salary and Gini -- Chapter 9. Waiting lines -- Chapter 10. Simultaneous events, semi-discrete events and chicken -- Index.
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• 摘要註: A major objective of this monograph is to present an agent-based simulation of artificial populations. The focus is on possible unexpected or catastrophic events that may spontaneously appear in simulations. A short recall of the tenets of the theory of catastrophes is given. Several examples of artificial society simulations are provided as the main topic of the book. With agent-based modeling, possible catastrophes and unexpected events in artificial populations are simulated. The book presents a new modeling and simulation tool, applied to social system simulation. The models are coded in the object- and agent-oriented language Bluesss (Blues Simulation System), related to the C++ language. The program code consists of a series of generic declarations of processes. Each of them includes a number of events that are coded in C++. At the runtime, a population of objects is generated. All the objects (agents) start to execute their own events, and interact with one another. During the simulations it is possible to observe the macro-behavior of the population, where some unexpected or "catastrophic" events occur. The examples include a stock market crash, catastrophes in extended prey-predator systems, growing organisms and cancer, epidemics, social inequality and economic decay, mass-service systems, and more. Remarks on possible simultaneous events are also included.
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