<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Adelantado, Martin</style></author><author><style face="normal" font="default" size="100%">Mathe, Jean-Michel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using Agent Based Distillation to Explore Issues Related to Asymmetric Warfare</style></title></titles><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style=&quot;color:rgb(0, 0, 0); font-family:times new roman&quot;&gt;In this paper we present advantages and limitations of agent-based distillations in understanding and gaining insight into irregular/asymmetric military operations. Our study is based on experiments using NetLogo, a cross-platform multi-agent programmable modeling environment under continuous development at the Center for Connected Learning and Computer-Based Modeling of Northwestern University, Evanston (IL), USA. The presented work is very much a work in progress, and this preliminary paper is intended to stimulate discussion, garner feedback, and foster refinement.&lt;/span&gt;&lt;/p&gt;</style></abstract></record></records></xml>