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ARTICLE IN PRESS Journal of Theoretical Biology 232 (2005) 223?234 www.elsevier.com/locate/yjtbi A simple cellular automaton model for influenza A viral infections Catherine Beauchemina, ?, John Samuel,
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How to fill out a simple cellular automaton:

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Determine the size of the grid or lattice on which the cellular automaton will operate. This will depend on the specific application or problem you are trying to solve.
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Assign an initial state to each cell in the grid. This state can be represented by a binary value, such as 0 or 1, or by any other discrete set of states depending on the problem.
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Specify the rules that govern how the state of each cell evolves over time. This can be done using a set of predefined rules or by defining custom rules based on the problem at hand.
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Update the state of each cell in the grid according to the specified rules. This can be done sequentially or in parallel, depending on the implementation.
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Repeat the updating process for a desired number of iterations or until a certain condition is met. This will allow you to observe the evolution of the cellular automaton over time.

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Overall, a simple cellular automaton can be useful to anyone interested in exploring and simulating dynamic systems and patterns.

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A simple cellular automaton is a mathematical model that consists of a grid of cells, where each cell can have a certain state. The state of each cell is updated based on a set of rules that define how the cells evolve over time.
There is no requirement for filing a simple cellular automaton as it is not a document or form that needs to be filed. It is a mathematical model used for studying complex systems.
A simple cellular automaton does not require filling out as it is not a document or form. It is a mathematical model that can be implemented using computer programming or simulated using software or algorithms.
The purpose of a simple cellular automaton is to study and simulate the behavior of complex systems using a simple set of rules. It can be used to model various phenomena such as population dynamics, traffic flow, and pattern formation.
A simple cellular automaton does not require reporting of specific information as it is a mathematical model. However, the behavior and evolution of the automaton can be observed and analyzed to gather information about the system being modeled.
There is no deadline for filing a simple cellular automaton as it is not a document or form that needs to be filed. It can be implemented or simulated at any time.
There is no penalty for the late filing of a simple cellular automaton as it does not require filing or submission. It is a mathematical model that can be created and studied without any specific deadlines or penalties.
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