Learned lizard pattern circuit uses 577 active gates (excluding pass-through gates A and B)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Learned Game of Life circuit uses 336 active gates (excluding pass-through gates A and B), predominantly OR and ANDfinding0.824
  Circuit analysis result for Game of Life experiment
• Learned Google G circuit uses 927 active gates (excluding pass-through gates A and B)finding0.822
  Circuit complexity metric for colored pattern experiment, largest of all experiments
• Learned checkerboard generation circuit reduces to just 5 active logic gates after pruning (6 with one redundant AND)finding0.783
  Remarkably minimal circuit discovered for checkerboard pattern generation
• Total active gates in checkerboard circuit is 22 (excluding pass-through gates A and B)finding0.762
  Circuit size finding for checkerboard experiment before pruning
• DiffLogic CA with 128-bit cell state and 12 steps successfully learns 20x20 lizard pattern, generalizing to 40x40 gridfinding0.749
  Demonstration of DiffLogic CA on complex non-regular shapes with arbitrary memorization requirements
• Active Inference Rule-Learning Simulation (32 trials, 64 agents)method0.704
  Computational simulation method using spm_MDP_VB_X to demonstrate curiosity and insight
• InceptionV1 implements a four-layer circuit for pose-invariant dog head detection with mirrored left/right pathways that inhibit each other then unite, exhibiting XOR-like propertiesfinding0.689
  Evidence that neural networks learn sophisticated invariance mechanisms through structured circuits rather than loose feature aggregation
• DiffLogic CA with 64 channels successfully learns 16x16 colored Google G pattern in 15 steps using 8-color binary palettefinding0.684
  Demonstration of multi-channel RGB color pattern generation with binary states