Abstract
The world may be considered to consist of interacting objects. An object‐oriented view is missing, however, in traditional system dynamics models. An attempt to develop a simulation methodology based on this view and using extended cellular automata principles is documented in this article. This methodology relies on pictorial entities representing real or abstract objects and a set of intuitive behavior and interaction rules. A simple predator‐prey model shows how such a pictorial simulation approach compares with traditional system dynamics models.
Original language | English |
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Pages (from-to) | 361-373 |
Number of pages | 13 |
Journal | System Dynamics Review |
Volume | 10 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Jan 1994 |