{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T13:40:18Z","timestamp":1648647618540},"reference-count":14,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2010,9,29]],"date-time":"2010-09-29T00:00:00Z","timestamp":1285718400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Artificial Intelligence"],"published-print":{"date-parts":[[2010,9,29]]},"abstract":"<jats:p>The focus of warfare has shifted from the Industrial Age to the Information Age, as encapsulated by the term Network Enabled Capability. This emphasises information sharing, command decision-making, and the resultant plans made by commanders on the basis of that information. Planning by a higher level military commander is, in most cases, regarded as such a difficult process to emulate, that it is performed by a real commander during wargaming or during an experimental session based on a Synthetic Environment. Such an approach gives a rich representation of a small number of data points. However, a more complete analysis should allow search across a wider set of alternatives. This requires a closed-form version of such a simulation. In this paper, we discuss an approach to this problem, based on emulating the higher command process using a combination of game theory and genetic algorithms. This process was initially implemented in an exploratory research initiative, described here, and now forms the basis of the development of a \u201cMission Planner,\u201d potentially applicable to all of our higher level closed-form simulation models.<\/jats:p>","DOI":"10.1155\/2010\/701904","type":"journal-article","created":{"date-parts":[[2010,9,30]],"date-time":"2010-09-30T06:14:33Z","timestamp":1285827273000},"page":"1-11","source":"Crossref","is-referenced-by-count":0,"title":["Using Genetic Algorithms to Represent Higher-Level Planning in Simulation Models of Conflict"],"prefix":"10.1155","volume":"2010","author":[{"given":"James","family":"Moffat","sequence":"first","affiliation":[{"name":"PCS Department, The Defence Science and Technology Laboratory (Dstl), Grenville Building, Fareham PO17 6AD, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susan","family":"Fellows","sequence":"additional","affiliation":[{"name":"PCS Department, The Defence Science and Technology Laboratory (Dstl), Grenville Building, Fareham PO17 6AD, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"98","reference":[{"issue":"4","key":"1","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1057\/palgrave.jors.2601714","volume":"55","year":"2004","journal-title":"Journal of the Operational Research Society"},{"issue":"4","key":"2","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1057\/palgrave.jors.2600889","volume":"51","year":"2000","journal-title":"Journal of the Operational Research Society"},{"issue":"4","key":"3","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1057\/palgrave.jors.2601662","volume":"55","year":"2004","journal-title":"Journal of the Operational Research Society"},{"key":"6","year":"2010"},{"key":"7","year":"2002"},{"issue":"2","key":"8","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1137\/0202009","volume":"2","year":"1973","journal-title":"SIAM Journal of Computing"},{"key":"9","year":"1975"},{"key":"10","year":"1989"},{"key":"11","year":"1991"},{"key":"12","year":"1992"},{"key":"13","year":"1994"},{"key":"14","year":"2001"},{"issue":"1\u20133","key":"15","first-page":"228","volume":"42","year":"1990","journal-title":"Physica D"},{"key":"16","year":"2006"}],"container-title":["Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/archive\/2010\/701904.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2010\/701904.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2010\/701904.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T23:59:11Z","timestamp":1607471951000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/aai\/2010\/701904\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,9,29]]},"references-count":14,"alternative-id":["701904","701904"],"URL":"https:\/\/doi.org\/10.1155\/2010\/701904","relation":{},"ISSN":["1687-7470","1687-7489"],"issn-type":[{"value":"1687-7470","type":"print"},{"value":"1687-7489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,9,29]]}}}