A Composable Discrete-Time Cellular Automaton Formalism

Mayer, Gary R.; Sarjoughian, Hessam S.

doi:10.1007/978-0-387-77672-9_21

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…A CA formalism that supports the specification of its external I/O with another modeling formalism was initially introduced in [35]. This proposed composable CA formalism is capable of interacting with model formalisms which are distinct from its own class of models.…”

Section: Approachmentioning

confidence: 99%

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Composable Cellular Automata

Mayer

Sarjoughian

2009

SIMULATION

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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.

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Section: Approachmentioning

confidence: 99%

“…The CCA is a network representation built upon the two-dimensional multi-component discrete-time system specification provided in [21]. The specification described in [35] has been revised to include internal mapping functions within the network specification. The additional details better demonstrate the formulation of the CCA concept.…”

Section: Approachmentioning

confidence: 99%

Composable Cellular Automata

Mayer

Sarjoughian

2009

SIMULATION

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Managing Hybrid Model Composition Complexity: Human–Environment Simulation Models

Sarjoughian

Mayer

Ullah

et al. 2015

Concepts and Methodologies for Modeling and Simulation

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It is becoming commonplace to use multiple types of models together for simulating multifaceted systems across many scientific disciplines. Indeed, in recent years, some approaches (referred to as multimodeling or multiformalism modeling) have been developed for representing a complex system as a set of subsystem models. Among these, there has been an interest in developing hybrid methods where structures and behaviors of models are explicitly accounted for. Furthermore, theories and approaches are proposed to define the interactions among heterogeneous model types. However, modeling a system this way brings about composition complexity that must also be managed. The complexities of hybrid modeling resulting from the interactions of the composed models can be reduced using interaction models, an approach referred to as polyformalism modeling (Sarjoughian 2006). Independently developing and utilizing such interaction models provides additional flexibility in system model design, modification, and execution for both the subsystem models and the resultant hybrid system model.

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A Composable Discrete-Time Cellular Automaton Formalism

Cited by 2 publications

References 5 publications

Composable Cellular Automata

Composable Cellular Automata

Managing Hybrid Model Composition Complexity: Human–Environment Simulation Models

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