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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v5i8.2457</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Design of Simulation Competition Platform Based on Cognitive Behavior Modeling</title><url>https://artdesignp.com/journal/JCER/5/8/10.26689/jcer.v5i8.2457</url><author>ZengJunjie,ZhangQi,ZengYunxiu,QinLong,YangMei,YinQuanjun</author><pub-date pub-type="publication-year"><year>2021</year></pub-date><volume>5</volume><issue>8</issue><history><date date-type="pub"><published-time>2021-08-30</published-time></date></history><abstract>Cognitive behavior modeling of agent is an important component of simulation system, and there are some difficulties in the simulation of course teaching. When students make simulation experiments about cognitive behavior modeling, such as algorithm design and model construction, there is no simulation competition platform that is controllable, flexible and scalable. To solve this problem, we propose a simulation competition platform based on cognitive behavior modeling, called TankSim, for undergraduate and graduate students. This platform aims to cultivate student’s team collaboration and innovation capability, and improve their learning motivation. This paper elaborates the proposed platform from three aspects, including demand analysis, platform design, and content design.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Huang K, 2010, Modeling and Simulation Technology. National University of Defense Technology Press, 1-2.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Guo Q, 2006, Introduction to Computer Generated Forces. National Defense Industry Press.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Huang K, Liu B, Huang J, 2004, Review of Combat Simulation Technology. Journal of System Simulation, 16(9): 1887-95.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>“Computer Integrated Manufacturing Systems” Editorial Department. National Computer Simulation Grand Prix, http://www.jsjfz.com/award.html</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Galway L, Charles D, Black M, 2008, Machine Learning in Digital Games: A Survey. Artificial Intelligence Review, 29(2): 123-61.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Yang R, Huang X, 2011, Computer-generated Force Intelligent Decision-Making Method and its Application. Publishing House of Electronics Industry.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Murata T, 2010, Petri Nets: Properties, Analysis and Applications. Proc IEEE, 77(4): 541-80.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Rabin S, 2014, AI Game Programming Wisdom 4. Nelson Education.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Sekhavat YA, 2017, Behavior Trees for Computer Games. International Journal on Artificial Intelligence Tools, 1: 1-27.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
