﻿class              params                 seed    closure     memory constraint persistence quadrant       notes
------------------ ---------------------- ---- ---------- ---------- ---------- ----------- -------------- ------------------------------
ECASystem          rule=30                   0     1.0000     0.1645     1.0000      0.0273 clockwork      
ECASystem          rule=30                   1     1.0000     0.1735     1.0000      0.0000 clockwork      
ECASystem          rule=30                   2     1.0000     0.1079     1.0000      0.0510 clockwork      
ECASystem          rule=30                   3     1.0000     0.1370     1.0000      0.0242 clockwork      
ECASystem          rule=30                   4     1.0000     0.1504     1.0000      0.0232 clockwork      
ECASystem          rule=90                   0        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=90                   1        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=90                   2        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=90                   3        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=90                   4        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=110                  0     1.0000     0.5934     1.0000      0.0090 autopoietic    
ECASystem          rule=110                  1     1.0000     0.5483     1.0000      0.0551 autopoietic    
ECASystem          rule=110                  2     1.0000     0.5866     1.0000      0.0550 autopoietic    
ECASystem          rule=110                  3     1.0000     0.5148     1.0000      0.1282 autopoietic    
ECASystem          rule=110                  4     1.0000     0.6028     1.0000      0.1211 autopoietic    
ECASystem          rule=184                  0        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=184                  1        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=184                  2        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=184                  3     1.0000     0.4224     1.0000      0.6757 clockwork      
ECASystem          rule=184                  4     1.0000     0.4292     1.0000      0.7873 clockwork      
ECASystem          rule=250                  0        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=250                  1        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=250                  2        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=250                  3        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
ECASystem          rule=250                  4        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.0              0        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.0              1        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.0              2        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.0              3        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.0              4        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.33             0     0.9896     1.0000     0.8000      0.9863 autopoietic    
KauffmanNetwork    coupling=0.33             1        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.33             2     0.2606     0.6750     0.9000      0.2553 turbulence     
KauffmanNetwork    coupling=0.33             3     0.9121     0.0079     0.7000      1.0000 clockwork      
KauffmanNetwork    coupling=0.33             4     1.0000     0.9817     0.7000      0.0000 autopoietic    
KauffmanNetwork    coupling=0.5              0     0.9896     1.0000     0.8000      0.9863 autopoietic    
KauffmanNetwork    coupling=0.5              1        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.5              2     0.2606     0.6750     0.9000      0.2553 turbulence     
KauffmanNetwork    coupling=0.5              3     0.9121     0.0079     0.7000      1.0000 clockwork      
KauffmanNetwork    coupling=0.5              4     1.0000     0.9817     0.7000      0.0000 autopoietic    
KauffmanNetwork    coupling=0.67             0        n/a        n/a        n/a         n/a n/a            H(S_{t+1} | E_t) is zero: the next state has no conditional variability given...
KauffmanNetwork    coupling=0.67             1     0.3120     0.5000     1.0000      0.0000 turbulence     
KauffmanNetwork    coupling=0.67             2     0.6195     0.2968     1.0000      0.9625 clockwork      
KauffmanNetwork    coupling=0.67             3     0.0082     0.5008     0.9000      0.0000 turbulence     
KauffmanNetwork    coupling=0.67             4     0.0000     0.4981     1.0000      0.1250 drift          
KauffmanNetwork    coupling=1.0              0     0.0001     0.4445     0.7000      0.0000 drift          
KauffmanNetwork    coupling=1.0              1     0.0506     0.4951     1.0000      0.5250 drift          
KauffmanNetwork    coupling=1.0              2     0.3719     0.5023     1.0000      1.0000 turbulence     
KauffmanNetwork    coupling=1.0              3     0.2646     0.4989     0.9000      0.0000 drift          
KauffmanNetwork    coupling=1.0              4     0.0032     0.4991     0.7000      1.0000 drift          
PeriodicCycle      period=2                  0     1.0000     0.9559     0.0000      0.0000 autopoietic    
PeriodicCycle      period=2                  1     1.0000     0.9507     0.0000      0.0000 autopoietic    
PeriodicCycle      period=2                  2     1.0000     0.9624     0.0000      0.0000 autopoietic    
PeriodicCycle      period=4                  0     1.0000     0.9775     0.0000      0.0000 autopoietic    
PeriodicCycle      period=4                  1     1.0000     0.9747     0.0000      0.0000 autopoietic    
PeriodicCycle      period=4                  2     1.0000     0.9808     0.0000      0.0000 autopoietic    
PeriodicCycle      period=8                  0     1.0000     0.9849     0.0000      0.0000 autopoietic    
PeriodicCycle      period=8                  1     1.0000     0.9830     0.0000      0.0000 autopoietic    
PeriodicCycle      period=8                  2     1.0000     0.9871     0.0000      0.0000 autopoietic    
SimpleAutomaton    self_generated            0     1.0000     0.9775     0.0000      0.0000 autopoietic    
SimpleAutomaton    external                  0     0.0085     0.4467     0.0000      1.0000 drift          
SimpleAutomaton    self_generated            1     1.0000     0.9775     0.0000      0.0000 autopoietic    
SimpleAutomaton    external                  1     0.0147     0.3818     0.0000      1.0000 drift          
SimpleAutomaton    self_generated            2     1.0000     0.9775     0.0000      0.0000 autopoietic    
SimpleAutomaton    external                  2     0.0193     0.5043     0.0000      1.0000 turbulence     
SimpleAutomaton    self_generated            3     1.0000     0.9775     0.0000      0.0000 autopoietic    
SimpleAutomaton    external                  3     0.0194     0.3911     0.0000      1.0000 drift          
SimpleAutomaton    self_generated            4     1.0000     0.9775     0.0000      0.0000 autopoietic    
SimpleAutomaton    external                  4     0.0152     0.4027     0.0000      1.0000 drift          

Sample size: 48/69 fully-valid points (dropped: 21)

Pairwise correlations:
  pair                      n    pearson   spearman flag  
  ---------------------- ---- ---------- ---------- ------
  closure-memory           48    +0.3193    +0.5589 OK    
  closure-constraint       48    -0.0425    -0.2736 OK    
  closure-persistence      48    -0.4386    -0.5022 OK    
  memory-constraint        48    -0.5675    -0.4458 OK    
  memory-persistence       48    -0.3776    -0.4164 OK    
  constraint-persistence   48    +0.0461    +0.2080 OK    

Aggregate diagnosis: OK

Quadrant distribution (closure x memory only):
  drift            9
  clockwork       10
  turbulence       6
  autopoietic     23
  n/a             21

[OK] All pairwise |r| < 0.7 - the three axes carry distinct information; safe to extend the roadmap.

CSV saved to: C:\Users\Usuario\Documents\GitHub\Autonometrics\docs\benchmarks\v0.7.0a0.csv
