If the brain were so simple: Information-based drivers of intelligence and their interaction through an n-body-inspired framework

arXiv:2610.11142 · q-bio.NC, cs.IT, math.IT, nlin.AO, physics.bio-ph · Submitted 2026-10-08 · Read on arXiv

q-bio.NC, cs.IT, math.IT, nlin.AO, physics.bio-ph

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Active Inference — 21× in this paper · explained in 1 episode
• Redundancy — 19× in this paper · explained in 2 episodes
• Free Energy Principle — 10× in this paper
• Generative Model — 7× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Information Enthalpy Potential — 6× in this paper
• Tokenization — 6× in this paper · explained in 2 episodes
• Spiking Speech Commands — 4× in this paper
• Abundance — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Temporal Correlations — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Predictive Coding — 2× in this paper · explained in 2 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• IEEE Congress of Evolutionary Computation — 1× in this paper
• Permutation Statistical Complexity — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Synthetic Biological Intelligence — 1× in this paper

Sources

• Algorithmic Thermodynamics
• Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity
• Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton
• Structure or Noise?
• Investigating the discrepancy property of de Bruijn sequences

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