Constraints enable emergence of complexity through self-organization in far-from-equilibrium systems.

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

• Topological constraints on self-organizationframework0.785
  Core framework: necessary conditions on graph topology for ordered phases to exist in locally-interacting systems.
• Topological Constraints on Self-Organisationconcept0.782
• Evolution and adaptation may be as inevitable as simple self-organization.claim0.782
  Speculation that descent onto a global random attractor implies evolutionary free energy minimization.
• Rules are wrongly formulated and processes are too rigid to allow adaptation; they cannot allow life to occur.claim0.780
  General statement that current rules and processes are fundamentally incompatible with living structure.
• Constraints and biases of human intelligence are best avoided by ‘designing for emergence’ rather than implementing a pre-existing theory of intelligence.claim0.770
  Recommendation for creating non-anthropocentric machine intelligence.
• Loose parts theory enables creative emergence in designed systems.claim0.769
• Curiosity, insight, decision-making, and diverse phenomena can all be accommodated by a single imperative: minimization of expected free energy (resolution of uncertainty).claim0.766
  Central thesis of the paper unifying cognitive phenomena under one objective function
• Complexity + emergence frameworks (mechanical parts that know nothing and have no goals) are a poor fit for the most interesting existing developmental biology dataclaim0.765
  Motivates replacing standard molecular-biology axioms with goal-directed/cybernetic models.