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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 T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, & R. Doursat (Eds.), Advances in Artificial Life: ECAL 2011 (pp. 55-62). Cambridge, MA, USA: MIT Press.

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https://arxiv.org/abs/1105.0158 (Any fulltext)
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 Creators:
Balduzzi, D1, Author              
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              

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 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
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: Balduzzi2011
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Title: Eleventh European Conference on the Synthesis and Simulation of Living Systems
Place of Event: Paris, France
Start-/End Date: 2011-08-08 - 2011-08-12

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Title: Advances in Artificial Life: ECAL 2011
Source Genre: Proceedings
 Creator(s):
Lenaerts, T, Editor
Giacobini, M, Editor
Bersini, H, Editor
Bourgine, P, Editor
Dorigo, M, Editor
Doursat, R, Editor
Affiliations:
-
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 55 - 62 Identifier: ISBN: 978-0-262-29714-1