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标签:仿真

  • Agent-Based and Individual-Based Modeling

    作者:Steven F. Railsback,

    Product Description Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysis Filled with examples and exercises, with updates and supplementary materials at www.railsback-grimm-abm-book.com Designed for students and researchers across the biological and social sciences Written by leading practitioners From the Inside Flap "Railsback and Grimm provide a needed book on how to develop, code, and analyze agent-based models. They so expertly explain the art and science of modeling that even the most modeling-shy beginner will master the skills. Readers will also gain a deep understanding of the increasing importance of agent-based models for interpreting the patterns of nature and human society."--Donald L. DeAngelis, U.S. Geological Survey "Railsback and Grimm have written a superb introduction to agent-based models. They combine hands-on programming exercises, introductions to some of the core concepts in complex systems, and instruction in model design and analysis. The result is an excellent book that's ideal for both undergraduates and academics."--Scott E. Page, author of Diversity and Complexity "Knitting together ecology, economics, and social systems, this wonderful book will encourage and enlighten novices and experienced modelers alike. It highlights the importance of patterns at every level of the modeling process, the need for clear explication of assumptions, and the benefits of models composed of discrete entities (agents) which interact, evolve, and mimic reality."--Louis Gross, University of Tennessee, Knoxville "This exceptional book offers a systematic introduction to the scientific use of agent-based modeling, including the implementation, testing, and validation of models. Until now there was no good textbook available to teach students the theory and practice of agent-based modeling. Railsback and Grimm provide such a text, one that will likely become a classic in the field."--Marco A. Janssen, Arizona State University "This book is an invaluable guide to agent-based modeling. A significant contribution to the field, it will train the next generation of modelers and teach best practices to existing modelers. Railsback and Grimm have in-depth expertise and experience in developing and teaching agent-based modeling, and are well qualified to write such a book."--Richard Stillman, Bournemouth University
  • 虚实世界

    作者:约翰·L·卡斯蒂译者:王千祥权利宁

    本书是“当代最了不起的科学家作家”卡斯蒂讲述仿真学的力作。作为正在引发科学革命 的计算机仿真,不是基于直接观察实验,而是基于从真实空间向虚拟空间的射。从人工生命到缘政治游戏,从股市心理到总统提名悖论,《虚实世界》带领读者穿越硅化微世界,探索复杂自适应系统新疆域。计算机仿真世界世界是否“真实”和能达到何种程度的真实,回答这些饶有趣味的问题,将开辟21世纪科学发现的新天地。