Power's ecosystem model with individual-level selection on interaction traits evolves to solve Sudoku puzzles (Power 2019)

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• Power (2019) Sudoku Ecosystem Modelmethod0.879
  Model where species interactions encode Sudoku constraints and individual-level selection on interaction traits evolves solutions to the puzzle
• We hypothesise that ecological models fall short of demonstrating spontaneous evolution of a new level of individuality because they are single-level networks of symmetric interactions.hypothesis0.796
  Explains limitation of current ecological connectionist models.
• Evolution often produces general-purpose problem-solving machines whose capacities cannot be inferred from the default invariant course of development.claim0.776
  A claim about the outcome of the MCA-enhanced process.
• Evolution makes problem-solving agents, not solutions; commitment to mutation and uncontrollable environments as ratchet for intelligenceclaim0.775
• World models provide a bridge between diverse substrates of intelligence—biological, artificial, and hybrid.claim0.770
  Synthetic claim integrating Ha's work with Levin's xenobiology and Tenenbaum's cognitive modeling.
• does a model's base capability in task-solving predict its capabilities in harness self-evolution?question0.770
  Central framing question motivating the paper's capability decomposition
• Evolution learns to generalize beyond default morphologies, producing problem-solving machines.claim0.767
  Argues that evolutionary learning goes beyond specific adaptations.
• The evolutionary process contains an intelligence ratchet: as competency increases, selection struggles to see the structural genome, further driving selection for competency mechanisms.claim0.765
  Explains why planaria with messy genomes have robust morphologies.