Naive Conjunctive Memory Scaling Problem

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

• Cognitive scalingconcept0.749
  Process by which low-level competencies scale to larger problem-solving abilities across levels of organization.
• Scaling of Cognitive Capacity via Modularity and Feedback Loopshypothesis0.737
  Processes scaling goals and stressors form positive feedback loop with modularity; both arise from and potentiate power of evolution, enabling specific predictions for cognitive capacity scaling.
• Conceptual Scalingmethod0.725
  Interpretive process for transforming many-valued contexts into formal contexts via scale attributes.
• Scaling of the cognitive Selfconcept0.716
  The process by which smaller agents join into a larger emergent Self with expanded cognitive light cones, mediated by gap junctions.
• Multitask Scalingconcept0.714
  The pressure on models trained on more tasks to find representations that generalize across all tasks, reducing the solution space
• Multitask Scaling Hypothesishypothesis0.711
  Argues that there are fewer representations competent for N tasks than M<N tasks, so more general models have a smaller solution space
• Large Associative Memory Problem in Neurobiology and Machine Learning (Krotov & Hopfield, 2020)concept0.709
  Paper proposing neurally plausible instantiation of Hopfield/transformer with feature neurons and memory neurons; used to derive place cell interpretation.
• Hopfield Network Memory Capacity Scalingconcept0.701
  Technical issue: original Hopfield networks scale linearly with neuron count; exponential activations enable 2^(N/2) scaling but softmax used in TEM-t has intermediate properties.