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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 Advances in Artificial Life: ECAL 2011 (pp. 55-62). Cambridge, MA, USA: MIT Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BAD4-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BAD5-3
Genre: Conference Paper

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 Creators:
Balduzzi, D1, Author           
Lenaerts, Editor
T., Editor
Giacobini, M., Editor
Bersini, H., Editor
Bourgine, P., Editor
Dorigo, M., Editor
Doursat, R., Editor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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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: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: ISBN: 978-0-262-29714-1
URI: http://mitpress.mit.edu/catalog/item/default.asp?ttype=2tid=12760mode=toc
BibTex Citekey: Balduzzi2011
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Title: Eleventh European Conference on the Synthesis and Simulation of Living Systems
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Title: Advances in Artificial Life: ECAL 2011
Source Genre: Proceedings
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Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 55 - 62 Identifier: -