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Multi-Channel Bayesian Persuasion

Talkat ITCS 2022 · 2022-01-31..02-03
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Main technical claim: a communication structure M1 always yields at least as much sender value as M2 for every prior and every utility profile iff every information-dominated pair in M1 is also present in M2 — a necessary and sufficient condition that fully orders structures. Consequences: any structure with no dominating rows is equivalent to private persuasion, and private schemes can be implemented with exponentially fewer channels. Proof uses secret-sharing encryption ideas plus Harsanyi’s universal type space. Algorithms: an additive FPTAS for forest structures with constant states and additive sender utility; hardness: computing optimum for separable supermajority utilities is NP-hard even with two states.

AI-written summary · about

  1. 0:00Intro
  2. 0:38Bayesian Persuasion
  3. 2:38Our Setting
  4. 6:22The Communication Structure
  5. 10:55Corollary 1
  6. 13:35Theorem 1 Proof Idea
  7. 17:59Our Positive Algorithmic Resul
  8. 19:57Mean-Preserving Spreads
  9. 21:21Positive Algorithmic Result Proordea
  10. 22:48Our Negative Algorithmic Result
  11. 24:52Conclusions and Future Work
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