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Many experiences with combat simulation systems indicate, first, that the optimal choice depends on the driving forces behind the decomposition or the goals that should be achieved by using components instead of monolithic systems. Second, the common criteria for decomposition in software design, information hiding, and \u201cobject picking\u201dare sometimes inappropriate for model decomposition because they neglect the importance of so-called hidden assumptions of model abstraction and idealization, which are paramount to the modeling of every complex system.<\/jats:p>","DOI":"10.1177\/0037549704049876","type":"journal-article","created":{"date-parts":[[2004,11,19]],"date-time":"2004-11-19T06:43:45Z","timestamp":1100846625000},"page":"357-365","source":"Crossref","is-referenced-by-count":12,"title":["Criteria for Decomposing Systems Into Components in Modeling and Simulation:                 Lessons Learned with Military Simulations"],"prefix":"10.1177","volume":"80","author":[{"given":"Marko A.","family":"Hofmann","sequence":"first","affiliation":[{"name":"Institute for Technology of Intelligent Systems (ITIS) and Institute for                         Applied System Analysis and Operations Research (IASFOR), University of the                         Federal Armed Forces Munich, Heisenbergweg 39, Germany\u201485577                         Neubiberg"}]}],"member":"179","published-online":{"date-parts":[[2004,7,1]]},"reference":[{"key":"atypb1","first-page":"467","volume":"106","author":"Simon, H. 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