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→框架
===框架===
===框架===
最近在复杂自适应系统建模和仿真方面的工作已经证明了将基于agent和基于复杂网络的模型相结合的必要性<ref>{{cite journal |author=Aditya Kurve |author2=Khashayar Kotobi |author3=George Kesidis |title=An agent-based framework for performance modeling of an optimistic parallel discrete event simulator |journal=Complex Adaptive Systems Modeling |volume=1 |pages=12 |doi=10.1186/2194-3206-1-12 |year=2013 |doi-access=free }}</ref><ref>{{cite journal |first=Muaz A. K. |last=Niazi |title=Towards A Novel Unified Framework for Developing Formal, Network and Validated Agent-Based Simulation Models of Complex Adaptive Systems |hdl=1893/3365 |date=2011-06-30 }} (PhD Thesis)</ref><ref>Niazi, M.A. and Hussain, A (2012), Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods [https://www.springer.com/biomed/neuroscience/book/978-94-007-3851-5 Cognitive Agent-based Computing]</ref>：
*使用各种系统组件的交互数据开发模型的复杂网络建模级别。
*使用各种系统组件的交互数据开发模型的复杂网络建模级别。
*基于描述主体的建模(DREAM)，通过使用模板和复杂的基于网络的模型来开发基于主体的模型的描述。建立理想模型允许跨科学学科的模型比较。
*基于描述主体的建模(DREAM)，通过使用模板和复杂的基于网络的模型来开发基于主体的模型的描述。建立理想模型允许跨科学学科的模型比较。
*使用虚拟覆盖多主体系统(VOMAS)进行基于主体的验证建模，以正式的方式开发经过认证和证实的模型。
*使用虚拟覆盖多主体系统(VOMAS)进行基于主体的验证建模，以正式的方式开发经过认证和证实的模型。<ref>{{cite web |title=Swarm code templates for model comparison |url=http://www.swarm.org/index.php/Software_templates |publisher=[[Swarm Development Group]] |archiveurl=https://web.archive.org/web/20080803125909/http://www.swarm.org/index.php/Software_templates |archivedate=August 3, 2008 |url-status=dead}}</ref> and text-based methods such as the ODD (Overview, Design concepts, and Design Details) protocol.<ref>{{cite journal |author1=Volker Grimm |author2=Uta Berger |author3=Finn Bastiansen |author4=Sigrunn Eliassen |author5=Vincent Ginot |author6=Jarl Giske |author7=John Goss-Custard |author8=Tamara Grand |author9=Simone K. Heinz |author10=Geir Huse |author11=Andreas Huth |author12=Jane U. Jepsen |author13=Christian Jørgensen |author14=Wolf M. Mooij |author15=Birgit Müller |author16=Guy Pe'er |author17=Cyril Piou |author18=Steven F. Railsback |author19=Andrew M. Robbins |author20=Martha M. Robbins |author21=Eva Rossmanith |author22=Nadja Rüger |author23=Espen Strand |author24=Sami Souissi |author25=Richard A. Stillman |author26=Rune Vabø |author27=Ute Visser |author28=Donald L. DeAngelis |display-authors=3 |title=A standard protocol for describing individual-based and agent-based models |journal=Ecological Modelling |volume=198 |issue=1–2 |date=September 15, 2006 |pages=115–126 |doi=10.1016/j.ecolmodel.2006.04.023 }} (ODD Paper)</ref>
描述基于主体的模型的其他方法包括代码模板和基于文本的方法，如ODD(概述、设计概念和设计细节)协议。
描述基于主体的模型的其他方法包括代码模板和基于文本的方法，如ODD(概述、设计概念和设计细节)协议。
在基于主体的建模和仿真工作中，主体所处的宏观和微观环境的作用也成为一个重要的因素。简单的环境提供简单的主体，而复杂的环境产生行为的多样性。
在基于主体的建模和仿真工作中，主体所处的宏观和微观环境的作用也成为一个重要的因素。简单的环境提供简单的主体，而复杂的环境产生行为的多样性。<ref>Ch'ng, E. (2012) Macro and Micro Environment for Diversity of Behaviour in Artificial Life Simulation, Artificial Life Session, The 6th International Conference on Soft Computing and Intelligent Systems, The 13th International Symposium on Advanced Intelligent Systems, November 20–24, 2012, Kobe, Japan. [http://complexity.io/Publications/chng-MacroMicroEnv.pdf Macro and Micro Environment] {{Webarchive|url=https://web.archive.org/web/20131113173313/http://complexity.io/Publications/chng-MacroMicroEnv.pdf |date=November 13, 2013 }}</ref> is also becoming an important factor in agent-based modelling and simulation work. Simple environment affords simple agents, but complex environments generates diversity of behaviour.<ref>Simon, Herbert A. The sciences of the artificial. MIT press, 1996.</ref>
==应用==
==应用==