Editing Agent-based model (section)

===Framework===
Recent work on the Modeling and simulation of Complex Adaptive Systems has demonstrated the need for combining agent-based and complex network based models.<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] {{Webarchive|url=https://web.archive.org/web/20121224084838/http://www.springer.com/biomed/neuroscience/book/978-94-007-3851-5 |date=December 24, 2012 }}</ref> describe a framework consisting of four levels of developing models of complex adaptive systems described using several example multidisciplinary case studies:
# Complex Network Modeling Level for developing models using interaction data of various system components.
# Exploratory Agent-based Modeling Level for developing agent-based models for assessing the feasibility of further research. This can e.g. be useful for developing proof-of-concept models such as for funding applications without requiring an extensive learning curve for the researchers.
# Descriptive Agent-based Modeling (DREAM) for developing descriptions of agent-based models by means of using templates and complex network-based models. Building DREAM models allows model comparison across scientific disciplines.
# Validated agent-based modeling using Virtual Overlay Multiagent system (VOMAS) for the development of verified and validated models in a formal manner.
Other methods of describing agent-based models include code templates<ref>{{cite web |title=Swarm code templates for model comparison |url=http://www.swarm.org/index.php/Software_templates |publisher=[[Swarm Development Group]] |archive-url=https://web.archive.org/web/20080803125909/http://www.swarm.org/index.php/Software_templates |archive-date=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 |bibcode=2006EcMod.198..115G |s2cid=11194736 }} (ODD Paper)</ref>

The role of the environment where agents live, both macro and micro,<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 generate diversity of behavior.<ref>Simon, Herbert A. The sciences of the artificial. MIT press, 1996.</ref>