claim

active

claim:evolution-learns-to-generalize-beyond-default-morphologies-producing-problem-solving-machines

Evolution learns to generalize beyond default morphologies, producing problem-solving machines.

Argues that evolutionary learning goes beyond specific adaptations.

Source paper

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Endless forms most beautiful 2.0: teleonomy and the bioengineering of chimaeric and synthetic organisms

(2023) · Clawson, Wesley P. · Levin, Michael

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Findings (1)

finding

Salamanders regenerate limbs, jaws, eyes, tails, and ovaries.
supports
From McCusker & Gardiner (2011), example of robust regenerative capacity.

Communities (3)

community

Causal emergence in biological systems
members_of
Examines how macro-scale causal power exceeds micro-scale in living and learning systems.
Agential evolution & biological individuality
members_of
Frames evolution as producing goal-directed, problem-solving agents across nested scales of individuality.
Bioelectric computation and morphological intelligence
members_of
Systems across kingdoms (neurons, plants, salamanders, xenobots) use bioelectric signaling to solve morphogenesis and behavior, independent of genetic specification.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

Evolution often produces general-purpose problem-solving machines whose capacities cannot be inferred from the default invariant course of development.claim0.899
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 intelligenceclaim0.838
Evolution does not simply make hardwired machines that execute a predetermined set of steps; instead, it produces problem-solving hardware.claim0.836
Key insight about the nature of evolved systems.
Morphogenetic and behavioral problem-solving share deep algorithmic and mechanistic symmetries, with bioelectric networks serving both developmental and neural functions via evolutionary pivot.hypothesis0.822
Testable prediction that insights from developmental bioelectricity can illuminate behavioral cognition and vice versa; grounds portability of neuroscience tools across tissue types.
How does evolution capitalize on the laws of physics and computation to generalize so well from specific examples to highly diverse possible instantiations?question0.820
Question about the deep principles enabling evolvability.
The larger task of making these processes genuinely morphogenetic so that they generate deeper and more coherent living structure—still lies on the horizon.claim0.816
Evolution actually searches not only genotype space but a more tractable space of behavior-shaping signals that exploit cellular intelligence.claim0.814
Central thesis of the paper.
Evolution re-uses many of the same mechanisms and strategies across scales of organization and problem spaces.claim0.814
Claims that scale-free dynamics, like bioelectric networks, are ancient and conserved.

Cross-corpus bridges (12)

same_concept_as · Nomic cosine

External markdown files that talk about the same concept as this entity.

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What determines the specific set of morphogenetic competencies that evolve in different lineages?questions/what-determines-the-specific-set-of-morphogenetic-competencies.md0.856
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What are the features of morphogenesis that enable evolution to search difficult phenotype space efficiently despite pleiotropy, degeneracy, and redundancy?questions/what-are-the-features-of-morphogenesis-that-enable.md0.842
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How does evolution capitalize on the laws of physics and computation to generalize so well from specific examples to highly diverse possible instantiations?questions/how-does-evolution-capitalize-on-the-laws-of.md0.840
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How can evolution navigate the rugged search space of morphogenesis given its complexity, pleiotropy, degeneracy, and redundancy?questions/how-can-evolution-navigate-the-rugged-search-space.md0.833
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How can we develop artificial neural networks whose output is not specific solutions but seeds determining flexible problem-solving machines?questions/how-can-we-develop-artificial-neural-networks-whose.md0.832
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How do systems modify the parameters of their own evolutionary operation when those parameters exhibit heritable variation?questions/how-do-systems-modify-the-parameters-of-their.md0.830
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How can evolution learn, and what mechanisms enable adaptive change across hierarchical levels?questions/how-can-evolution-learn-and-what-mechanisms-enable.md0.828
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What determines which genotypes must be altered to produce specific large-scale anatomical features and functional outcomes?questions/what-determines-which-genotypes-must-be-altered-to.md0.826
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How can morphological and behavioral plasticity enable problem-solving in novel circumstances that could not have been encountered during evolutionary history?questions/how-can-morphological-and-behavioral-plasticity-enable-problemsolving.md0.826
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How does evolution capitalize on laws of physics and computation to produce systems that generalize well from specific examples to highly diverse configurations?questions/how-does-evolution-capitalize-on-laws-of-physics.md0.824
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How do evolutionary and developmental processes interact to produce evolvability and adaptive potential?questions/how-do-evolutionary-and-developmental-processes-interact-to.md0.823
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What is the relationship between genetic information and the emergent problem-solving behavior of living systems?questions/what-is-the-relationship-between-genetic-information-and.md0.821