Cellular automata

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m (New page: ===Dimensional Cellular Automaton=== each cell: * K = Number of States. * R = Number of neighbors. * T = Time step. Typical Example: * K = 2 (two binary states, 1 and 0). * R = 1 (left ri...)
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===Dimensional Cellular Automaton===
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==Dimensional Cellular Automaton==
each cell:
each cell:
* K = Number of States.
* K = Number of States.
* T = Time step.
* T = Time step.
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Typical Example:
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===Typical Example:===
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'''Number of rules = number of possible states'''
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* K = 2 (two binary states, 1 and 0).
* K = 2 (two binary states, 1 and 0).
* R = 1 (left right neighbors)
* R = 1 (left right neighbors)
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Number of rules = number of possible states
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<blockquote>
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K^(2R+1) General Case.
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General case: K<sup>(2R+1)</sup> <br />
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<br />
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2<sup>((2 &times; 1) + 1)</sup>= 2<sup>3</sup> = 8
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</blockquote>
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There are 8 states/rules in the typical example.
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==Numbering Systems==
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# Simply "turn" result on its side:
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#: C<sub>i</sub>(T+1) = 01111110 = 124
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#: '''"rule number 124"'''
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2<sup>((2-1) &times; 1)</sup>= 2<sup>3</sup> = 8
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==Wolfram's Classification==
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* Class I - Every cell froze to same state
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**similar to a halted program
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**similar to fixed point attractor
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* Class II - cycle of fixed number of states
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**similar to infinite loop
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**similar to limit cycle
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*Class III - a periodic and semi-random
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**similar to pseudorandom number set
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**similar to strange attractor chaotic dynamics
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*Class IV - complex patterns
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**similar to a-life
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**dynamics on the edge of chaos
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There are 8 states/rules in the typical example
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<blockquote>Note:Because a '''CA''' is a finite state machine it will always eventually repeat... but the state space is huge.</blockquote>

Revision as of 21:33, 19 October 2010