~/talk

Defensive Complexity in Antagonistic Coevolution

Talkat Computational Theories of Evolution · 2014-03-17..03-21
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slides:none on file

Argues that immune control logic can be designed so pathogens face exponential learning time to subvert it, despite much faster viral evolution (≈100,000× generation rate) and 100 million years of conserved cytokine wiring. Uses a signal‑tampering game, ternary logic and population genetics results to construct explicit control circuits (a peaks‑on‑corners fitness landscape) and proves by construction that a host can force exponential search time for finite pathogen populations, matching genomic patterns of purifying selection in signaling versus positive selection in effectors.

AI-written summary · about

  1. 0:00Defensive complexity in coevolutionary arms races
  2. 1:55How do you win an evolutionary arms race?
  3. 7:17How do you win an evolutionary arms race...
  4. 8:22How can an immune system possibly work?
  5. 8:48To function effectively, an immune system must feature
  6. 10:50Two additional challenges
  7. 11:35Challenges for immune function: Goal reduce damage from pathogens
  8. 12:32Many vertebrate viruses (especially pox viruses) interfere with the chemokine signals that the immune system uses for regulation and control.
  9. 14:59Communication is essential for the immune response
  10. 16:16Robustness and strategic robustness
  11. 25:53Host processes information
  12. 37:45The peaks-on-comers control logic
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