Rule Space Analysis
Rule Space Analysis is a systematic methodological framework within cellular automata research that identifies, classifies, and characterizes the global dynamical behaviors of cellular automaton rules by exhaustively exploring their rule space to reveal structural and functional relationships among rules, initial conditions, and emergent computational properties.
79
Publications
5.1K
Citations
144
Authors
83
Institutions
Publications per year
2017–2026
10
Parents
79
Optimizing the "one big switch" abstraction in software-defined networks
Nanxi Kang, Zhenming Liu, Jennifer Rexford et al. · 2013 · 283 citations
Incremental consistent updates
Naga Praveen Kumar Katta, Jennifer Rexford, David Walker · 2013 · 199 citations · Full text
1–5 of 79
144
University of Illinois Urbana-Champaign, United States
12 publications · 1.6K citations
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5
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4
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4
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3
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1–5 of 144
83
Educational Testing Service
Princeton, United States
7 h-index
18 publications
757 citations
Princeton University
Princeton, United States
5 h-index
11 publications
1.9K citations

Tel Aviv University
Tel Aviv, Israel
4 h-index
4 publications
155 citations
Columbia University
New York, United States
3 h-index
4 publications
351 citations

Beijing Normal University
Beijing, China
3 h-index
7 publications
219 citations

Santa Fe Institute
Santa Fe, United States
3 h-index
4 publications
683 citations

University of Hawaii System
Honolulu, United States
3 h-index
3 publications
72 citations
University of California, Irvine
Irvine, United States
2 h-index
2 publications
36 citations
1–8 of 83
4 publications · 71 citations
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IJBC · 4 publications · 80 citations
4
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4 publications · 214 citations
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3 publications · 232 citations
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2 publications · 999 citations
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