2013
DOI: 10.1016/j.ic.2012.10.019
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Causal graph dynamics

Abstract: International audienceWe extend the theory of cellular automata to arbitrary, time-varying graphs. In other words we formalise, and prove theorems about, the intuitive idea of a labelled graph which evolves in time -- but under the natural constraint that information can only ever be transmitted at a bounded speed, with respect to the distance given by the graph. The notion of translation-invariance is also generalised. The definition we provide for these 'causal graph dynamics' is simple and axiomatic. The th… Show more

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Cited by 9 publications
(9 citation statements)
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References 39 publications
(44 reference statements)
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“…The above proof was done via the axiomatic characterization of causal dynamics, as this paper enjoys a more straightforward formalization than [1]. In [1] the same result is proven via the constructive approach to causal graph dynamics (localizability), which has the advantage of extra information about the composed function.…”
Section: Theorem 3 (Composability)mentioning
confidence: 88%
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“…The above proof was done via the axiomatic characterization of causal dynamics, as this paper enjoys a more straightforward formalization than [1]. In [1] the same result is proven via the constructive approach to causal graph dynamics (localizability), which has the advantage of extra information about the composed function.…”
Section: Theorem 3 (Composability)mentioning
confidence: 88%
“…Definitions 1 to 4 are as in [1]. The first two are reminiscent of the many papers seeking to generalize Cellular Automata to arbitrary, bounded degree, fixed graphs [24,7,16,15,12,31,20,30,29,5,22,9,27,28].…”
Section: Graphs As Pathsmentioning
confidence: 99%
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