{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T21:32:46Z","timestamp":1782250366194,"version":"3.54.5"},"reference-count":64,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2006,10,1]],"date-time":"2006-10-01T00:00:00Z","timestamp":1159660800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[2006,10]]},"abstract":"<jats:p>Recent research efforts have focused on the analysis of environmental systems using                 cellular models. Although most of the existing solutions are based on the cellular                 automata formalism, this technique has some problems that constrain its power,                 usability and feasibility for studying large complex systems. Instead, combining                 cellular automata with discrete event systems specifications (DEVS) showed excellent                 results in terms of quality and performance. Despite these encouraging results, the                 environmental science\/engineering community still prefers more traditional                 approaches, as DEVS-based techniques require a fundamental change of the modeling                 and simulation paradigm, while entailing expertise in advanced programming,                 distributed computing, etc. Cell-DEVS and the CD++ toolkit were created to address                 these problems: they simplify the construction of complex cellular models by                 allowing simple and intuitive model specification. The discrete event nature of the                 formalism provides better precision and performance, and models can run in different                 simulation environments (single user, real-time, distributed\/parallel) without                 special expertise required. Environmental applications can be easily constructed,                 making it possible for users with basic training in the techniques and software                 tools to face the study of complex problems. We present the definition of different                 models of environmental applications, including the pollution on a basin, fire                 spreading, watershed formation and viability of a population, focusing on how to                 define such applications using Cell-DEVS methodology, using an approach that                 facilitates this paradigm shift.<\/jats:p>","DOI":"10.1177\/0037549706073698","type":"journal-article","created":{"date-parts":[[2006,12,6]],"date-time":"2006-12-06T09:23:27Z","timestamp":1165397007000},"page":"635-660","source":"Crossref","is-referenced-by-count":39,"title":["Applying Cell-DEVS Methodology for Modeling the Environment"],"prefix":"10.1177","volume":"82","author":[{"given":"Gabriel","family":"Wainer","sequence":"first","affiliation":[{"name":"Department of Systems and Computer Engineering, Carleton University, 4456                         Mackenzie Building, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada,"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2006,10]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1763.001.0001"},{"key":"e_1_2_1_2_1","volume-title":"A New Kind of Science","author":"Wolfram, S.","year":"2002","unstructured":"Wolfram, S. 2002. 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