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Algorithmic Persuasion with Evidence

Talkat ITCS 2021 · 2021-01-06..01-08
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Paper at ITCS 2021 studies persuasion with unforgeable evidence, gives a polynomial-time max-flow algorithm that computes a sequential equilibrium, and proves commitment can vastly change outcomes: sender’s committed strategy can raise acceptance from 0 to 0.8 (unbounded ratio) while receiver commitment helps up to factor two. From a complexity view persuasion is NP-hard to approximate to n^{1−ε}, delegation is tight 2-approximate, and Degree-2 states admit an SDP-based 1.1-approximation.

AI-written summary · about

  1. 0:00Start
  2. 4:30Persuasion with Evidence
  3. 10:12Equilibrium and Commitment Power
  4. 12:43Equilibria
  5. 13:52Commitment vs. Equilibrium
  6. 21:33Delegation with Degree-2-States
  7. 27:13Conclusion
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