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  Detecting emergent processes in cellular automata with excess information

Balduzzi, D. (2011). Detecting emergent processes in cellular automata with excess information. In Eleventh European Conference on the Synthesis and Simulation of Living Systems (pp. 55-62).

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 Creators:
Balduzzi, D.1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: MPI für Intelligente Systeme; Abt. Schölkopf;
 Abstract: Many natural processes occur over characteristic spatial and temporal scales. This paper presents tools for (i) flexibly and scalably coarse-graining cellular automata and (ii) identifying which coarse-grainings express an automaton’s dynamics well, and which express its dynamics badly. We apply the tools to investigate a range of examples in Conway’s Game of Life and Hopfield networks and demonstrate that they capture some basic intuitions about emergent processes. Finally, we formalize the notion that a process is emergent if it is better expressed at a coarser granularity.

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 Dates: 2011-08-01
 Publication Status: Issued
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Title: Eleventh European Conference on the Synthesis and Simulation of Living Systems
Source Genre: Proceedings
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Publ. Info: -
Pages: 7 Volume / Issue: - Sequence Number: - Start / End Page: 55 - 62 Identifier: -