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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Scholl, H.J. |
| Copyright Year | 2001 |
| Description | Author affiliation: Center for Technol. in Government, State Univ. of New York, Albany, NY, USA (Scholl, H.J.) |
| Abstract | In recent years, the "Science of Complexity", as promoted by the Santa Fe institute, has been recognized by mainstream scholars in prominent scientific disciplines ranging from physics over economics and computer science to the social sciences. In various reviews, it appears, however, as if Complexity Theory and techniques such as agent-based modeling are unique in their capacity of modeling nonlinear systems. These reviews overlook that such systems have been modeled and simulated at least since the late 1950s, e.g., by the research track known as System Dynamics, a discipline with a rich body of literature. This paper gives an overview of the general modeling principles of both tracks, describes their areas of applicability, and discusses their relative strengths and weaknesses. It tries to identify areas in which the two modeling traditions complement each other, and where they overlap. The paper concludes that cross study and joint research are overdue. |
| Sponsorship | Univ. Hawaii College of Bus. Adm |
| File Size | 200254 |
| File Format | |
| ISBN | 0769509819 |
| DOI | 10.1109/HICSS.2001.926296 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-01-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mathematical model Computer simulation Iron Read only memory Computer science Nonlinear systems Identity-based encryption Ontologies |
| Content Type | Text |
| Resource Type | Article |
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