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predator-prey

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Nature and nurture combined adapt faster than either alone. Darwinian evolution (agents selected across generations) plus Multi-Agent Deep RL (agents learning within a lifetime) in one ecosystem, each mechanism amplifying the other — a testbed for the Baldwin effect, coevolution, and emerging cooperation.

  • Updated Aug 24, 2026
  • Python

A research-grade exploration of the Tokenomics Ecological Framework, analyzing how tokens behave as predator, prey, parasite, and symbiotic species. Examines ecosystem interactions, evolutionary pressures, species population cycles, and the dynamics of economic predation, mutation, drift, and long-term survival across market cycles.

  • Updated Nov 30, 2025

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