Abstract
Existing Cellular Automata formalisms do not consider heterogenous composition of models. Simulations that are grounded in a suitable modeling formalism offer unique benefits as compared with those that are developed using an adhoc combination of modeling concepts and implementation techniques. The emerging and extensive use of CA in simulating complex heterogeneous network systems heightens the importance of formal model specification. An extended discrete-time CA modeling formalism is developed in the context of hybrid modeling with support for external interactions.
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Mayer, G.R., Sarjoughian, H.S. (2008). A Composable Discrete-Time Cellular Automaton Formalism. In: Liu, H., Salerno, J.J., Young, M.J. (eds) Social Computing, Behavioral Modeling, and Prediction. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77672-9_21
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DOI: https://doi.org/10.1007/978-0-387-77672-9_21
Publisher Name: Springer, Boston, MA
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