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Genesis platform explores open-ended evolution without fitness functions

Researchers have developed Genesis, an open-source platform for studying open-ended evolution without relying on fitness functions. This platform explores evolutionary dynamics driven by physical constraints, relational dominance, and adaptive regulation. Experiments with Genesis have demonstrated that constraint-driven selection can sustain evolutionary activity even after fitness removal, and have provided evidence that niche construction can initiate structural diversification. The findings suggest a new direction for meta-evolution, where the governing laws of evolutionary systems could themselves be evolved. AI

IMPACT This research could lead to new approaches in artificial evolution and meta-evolutionary algorithms.

RANK_REASON The cluster is about an academic paper detailing a new platform for empirical research into evolutionary algorithms. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.NE (Neural & Evolutionary) →

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Genesis platform explores open-ended evolution without fitness functions

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The cluster is about an academic paper detailing a new platform for empirical research into evolutionary algorithms. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Anushka Sharma ·

    Genesis: An Empirical Platform for Studying Open-Ended Evolution Without Fitness Functions

    Biological evolution sustains complex dynamics without any fitness function, yet virtually all evolutionary algorithms depend on one. Genesis is an open-source platform designed to test, empirically, what an artificial system needs to sustain evolutionary dynamics after complete …