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Detecting emergent processes in cellular automata with excess information

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83792

Balduzzi,  D
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

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.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-BAD4-5
Zusammenfassung
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.