Journal
CHAOS
Volume 21, Issue 3, Pages -Publisher
AMER INST PHYSICS
DOI: 10.1063/1.3638449
Keywords
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Categories
Funding
- NSF [IIS-0916409, 0904912]
- IGERT fellowship
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [0916409] Funding Source: National Science Foundation
- Division Of Physics
- Direct For Mathematical & Physical Scien [1058291] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [0904912] Funding Source: National Science Foundation
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Understanding the mechanisms of distributed computation in cellular automata requires techniques for characterizing the emergent structures that underlie information processing in such systems. Recently, techniques from information theory have been brought to bear on this problem. Building on this work, we utilize the new technique of partial information decomposition to show that previous information-theoretic measures can confound distinct sources of information. We then propose a new set of filters and demonstrate that they more cleanly separate out the background domains, particles, and collisions that are typically associated with information storage, transfer, and modification in cellular automata. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3638449]
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