Second-order Cellular Automaton definition
What does second-order term mean in a Cellular Automaton?
I read on second-order cellular automaton (wikipedia) that a second-order has two time-states, but does the definition of an order mean the number of time-variables that the function $f$ maps onto?
If we have two cells at time $t-1$ instead of three, and one cell at $t-2$, this is not a second-order cellular automaton? if yes, why is this so? It says all second order are reversible.
I ask because there are tons of ways to construct an Cellular Automaton, and therefore it is nice to know which terminology to use when describing the automaton.
terminology definition cellular-automata
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What does second-order term mean in a Cellular Automaton?
I read on second-order cellular automaton (wikipedia) that a second-order has two time-states, but does the definition of an order mean the number of time-variables that the function $f$ maps onto?
If we have two cells at time $t-1$ instead of three, and one cell at $t-2$, this is not a second-order cellular automaton? if yes, why is this so? It says all second order are reversible.
I ask because there are tons of ways to construct an Cellular Automaton, and therefore it is nice to know which terminology to use when describing the automaton.
terminology definition cellular-automata
add a comment |
What does second-order term mean in a Cellular Automaton?
I read on second-order cellular automaton (wikipedia) that a second-order has two time-states, but does the definition of an order mean the number of time-variables that the function $f$ maps onto?
If we have two cells at time $t-1$ instead of three, and one cell at $t-2$, this is not a second-order cellular automaton? if yes, why is this so? It says all second order are reversible.
I ask because there are tons of ways to construct an Cellular Automaton, and therefore it is nice to know which terminology to use when describing the automaton.
terminology definition cellular-automata
What does second-order term mean in a Cellular Automaton?
I read on second-order cellular automaton (wikipedia) that a second-order has two time-states, but does the definition of an order mean the number of time-variables that the function $f$ maps onto?
If we have two cells at time $t-1$ instead of three, and one cell at $t-2$, this is not a second-order cellular automaton? if yes, why is this so? It says all second order are reversible.
I ask because there are tons of ways to construct an Cellular Automaton, and therefore it is nice to know which terminology to use when describing the automaton.
terminology definition cellular-automata
terminology definition cellular-automata
edited Mar 26 at 21:29
asked Mar 26 at 21:24
Natural Number Guy
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429517
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Second order cellular automaton relay also on the layer at $t-2$ for pattern computation.
As "neighborhood" in Second order term is the cell at the step $t -2$ respect the present state of the cell in $t -1$, and on those information will derive the final outcome of the same cell at $t+0$.
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Second order cellular automaton relay also on the layer at $t-2$ for pattern computation.
As "neighborhood" in Second order term is the cell at the step $t -2$ respect the present state of the cell in $t -1$, and on those information will derive the final outcome of the same cell at $t+0$.
add a comment |
Second order cellular automaton relay also on the layer at $t-2$ for pattern computation.
As "neighborhood" in Second order term is the cell at the step $t -2$ respect the present state of the cell in $t -1$, and on those information will derive the final outcome of the same cell at $t+0$.
add a comment |
Second order cellular automaton relay also on the layer at $t-2$ for pattern computation.
As "neighborhood" in Second order term is the cell at the step $t -2$ respect the present state of the cell in $t -1$, and on those information will derive the final outcome of the same cell at $t+0$.
Second order cellular automaton relay also on the layer at $t-2$ for pattern computation.
As "neighborhood" in Second order term is the cell at the step $t -2$ respect the present state of the cell in $t -1$, and on those information will derive the final outcome of the same cell at $t+0$.
answered Nov 27 at 13:48
Alessar
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