Incentive compatibility

A mechanism is called incentive-compatible (IC)[1]: 415  if every participant can achieve their own best outcome by reporting their true preferences.[1]: 225 [2] For example, there is incentive compatibility if high-risk clients are better off in identifying themselves as high-risk to insurance firms, who only sell discounted insurance to high-risk clients. Likewise, they would be worse off if they pretend to be low-risk. Low-risk clients who pretend to be high-risk would also be worse off.[3]

There are several different degrees of incentive-compatibility:[4]

  • The stronger degree is dominant-strategy incentive-compatibility (DSIC).[1]: 415  It means that truth-telling is a weakly-dominant strategy, i.e. you fare best or at least not worse by being truthful, regardless of what the others do. In a DSIC mechanism, strategic considerations cannot help any agent achieve better outcomes than the truth; such mechanisms are called strategyproof,[1]: 244, 752  truthful, or straightforward.
  • A weaker degree is Bayesian-Nash incentive-compatibility (BNIC).[1]: 416  It means there is a Bayesian Nash equilibrium in which all participants reveal their true preferences. In other words, if all other players act truthfully, then it is best to be truthful.[1]: 234 

Every DSIC mechanism is also BNIC, but a BNIC mechanism may exist even if no DSIC mechanism exists.

Typical examples of DSIC mechanisms are second-price auctions and a simple majority vote between two choices. Typical examples of non-DSIC mechanisms are ranked voting with three or more alternatives (by the Gibbard–Satterthwaite theorem) or first-price auctions.

  1. ^ a b c d e f Vazirani, Vijay V.; Nisan, Noam; Roughgarden, Tim; Tardos, Éva (2007). Algorithmic Game Theory (PDF). Cambridge, UK: Cambridge University Press. ISBN 0-521-87282-0.
  2. ^ "Incentive compatibility | game theory". Encyclopedia Britannica. Retrieved 2020-05-25.
  3. ^ James Jr, Harvey S. (2014). "Incentive compatibility". Britannica.
  4. ^ Jackson, Matthew (December 8, 2003). "Mechanism Theory" (PDF). Optimization and Operations Research.

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