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SIMULATION
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Composable Cellular Automata

Gary R. Mayer

Arizona Center for Integrative Modeling and Simulation, Department of Computer Science and Engineering, School of Computing and Informatics, Arizona State University, Tempe, AZ 85281, USA, gary.mayer{at}asu.edu

Hessam S. Sarjoughian

Arizona Center for Integrative Modeling and Simulation, Department of Computer Science and Engineering, School of Computing and Informatics, Arizona State University, Tempe, AZ 85281, USA, sarjoughian{at}asu.edu

Cellular automata (CA) provide a convenient approach to modeling a system comprised of homogeneous entities that, generally, have a spatial relationship with one another. CA are used to model systems that can be appropriately represented as a collection of interconnected automata. These networked automata may act as either a model representation of the entire system, or used to model a sub-system within a hybrid system. As the sub-systems within a hybrid system are disparate, so too can the models representing them be disparate using a multi-model approach. However, to take advantage of multi-modeling, CA and other models used to represent the sub-systems must be founded on system-theoretical principles. Furthermore, each model’s formalism must account for input and output data exchange with other modeling formalisms. Therefore, to support modular synthesis of distinct CA models with non-CA models, a composable cellular automata (CCA) formalism is proposed. This formalism is provided as a domain-neutral, mathematical specification. The CCA is then exemplified as part of a multi-model, and the GRASS development environment is used to describe one possible implementation approach.

Key Words: cellular automata • geographic information system • model composability • multi-modeling

This version was published on November 1, 2009

SIMULATION, Vol. 85, No. 11-12, 735-749 (2009)
DOI: 10.1177/0037549709106341
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