docs/rtfm/intro writing + cleaning details in src/
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@ -141,3 +141,23 @@ How can gem-graph be used to analyse and control the complexity of what it
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represents and sets in motion? This chapter introduces the gem-graph mechanism.
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represents and sets in motion? This chapter introduces the gem-graph mechanism.
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------------
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Gem-graph can reproduce the behavior of any cellular automata. Whatever the state
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of the cellular automaton space at a given time (n), this state can be considered
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as a gem-graph state and a rule can be written to transform it into the next
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state (n+1).
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The difference with the cellular automaton is that this rule is not generated by
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a "micro-rule" applied cell by cell to the entire state (n). This rule must be
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written by hand and its writing requires knowledge of state (n+1).
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Writing all the rules that describe all the transformations that have occurred
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when a cellular automaton describes a trajectory (a story) is certainly tedious,
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but it is always possible. And the number of possible histories that gem-graph
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rules can describe is limited only by the size of the space and the number of
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symbols it contains.
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If a set of "micro-rules", each applied cell by cell to the entire state (n) of
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a cellular automaton, can produce all the possible states that the gem-graph can
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describe, the two representations can be considered to be equivalent in power.
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