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The Genomic Code: The genome instantiates a generative model of the organism

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arxiv 2407.15908 v2 pith:2JMUUOV5 submitted 2024-07-22 q-bio.OT

classification q-bio.OT
keywords genomegenerativemodelorganismanalogycodegenomiclearning
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How does the genome encode the form of the organism? What is the nature of this genomic code? Inspired by recent work in machine learning and neuroscience, we propose that the genome encodes a generative model of the organism. In this scheme, by analogy with variational autoencoders, the genome comprises a connectionist network, embodying a compressed space of latent variables, with weights that get encoded by the learning algorithm of evolution and decoded through the processes of development. The generative model analogy accounts for the complex, distributed genetic architecture of most traits and the emergent robustness and evolvability of developmental processes, while also offering a conception that lends itself to formalisation.

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  1. Heuristically Adaptive Diffusion-Model Evolutionary Strategy

    cs.NE 2024-11 conditional novelty 7.0 of 10

    An evolutionary algorithm that uses an online-trained diffusion model as its offspring generator can adapt to changing fitness landscapes and condition the search toward target traits without altering the fitness function.

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