The multiscale competency architecture (MCA) speeds evolutionary search by providing generalization, reliability, tractable search space, cryptic variation, and functional intermediates.

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• A multi-scale competency architecture facilitates evolution of robust problem-solving, living machines.claim0.852
  Key proposal linking multi-scale agency to evolutionary advantage.
• Multi-scale competency greatly accelerates evolution and enables generalization.claim0.835
  Central thesis about the role of agency in evolutionary dynamics.
• Multi-scale competency architecture smoothens the fitness landscape, reduces pleiotropy, enables exploitation of opportunities, and improves controllability, thereby potentiating evolution.claim0.835
  MCA provides evolvability advantages by buffering negative mutation effects and enabling independent selection of traits.
• Biology employs a multiscale competency architecture where each level solves problems with some degree of competency in its own problem space.claim0.821
  General structural claim about organization of life.
• MCA allows evolution to mask negative pleiotropic effects and explore adaptive space more freely.hypothesis0.818
  Homeostatic modules correct for mutations locally, enabling independent evolution of traits.
• Multi-scale competency increases the apparent IQ of the evolutionary process, enabling better generalization.hypothesis0.817
  Hypothesis linking competency to evolutionary learning efficiency.
• Life exploits multi-scale competency architecture enabling adaptation to novel circumstances much faster than evolution alone.hypothesis0.814
  Authors hypothesize that plasticity observed in individual lifetimes suggests architecture providing greater efficiency than blind evolutionary search.
• Multi-scale competency architecture improves credit assignment in evolutionary learning by linking diverse actions to rewards across temporal delays.claim0.809
  MCA provides patience in evolution, similar to hidden layers in neural networks.