BryanHead：2024年代理建模代理基于多层次代理模型的设计与分析报告（英文版）（319页）.pdf

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1、NORTHWESTERN UNIVERSITYAgents Modeling Agents:The Design and Analysis of Multi-LevelAgent-Based ModelsA DISSERTATIONSUBMITTED TO THE GRADUATE SCHOOLIN PARTIAL FULFILLMENT OF THE REQUIREMENTSfor the degreeDOCTOR OF PHILOSOPHYField of Computer ScienceByBryan HeadEVANSTON,ILLINOISMarch 20242 Copyright

2、by Bryan Head 2024All Rights Reserved3ABSTRACTAgents Modeling Agents:The Design and Analysis of Multi-Level Agent-Based ModelsBryan HeadAgent-based modeling(ABM)plays a critical role in complex systems research byallowing researchers to examine how individual-to-individual interactions collectivelyg

3、ive rise to group-level and system-level behavior.However,fields ranging from socio-environmental systems to tumor biology to traffic modeling have increasingly sought tomodel interactions between systems of different scales.Multi-level agent-based modeling(ML-ABM)extends classic ABM techniques to m

4、eet this need.Despite this growingdemand,multi-level modeling techniques introduce significant complexity into themodeling process and have yet to see widespread adoption among ABM practitioners.We introduced the LevelSpace extension for the widely used NetLogo ABM platform tomake ML-ABM easily acce

5、ssible to ABM researchers by leveraging NetLogos core“lowfloor,high ceiling”approach.This dissertation builds on that work,showing how researchers can model multi-levelphenomena by creating nested hierarchies of agent-based models.It accomplishes this4through a series of novel and illustrative case

6、studies.Each begins with a classic,single-level agent-based model,and then extends it to a multi-level modeling system.In eachcase,we explore the different kinds of relationships that can connect models,with aparticular focus on the amount of coupling and re-usability of the component modelsinvolved