Incentive compatibility
In mechanism design, a process is incentive-compatible (IC) if all of the participants fare best when they truthfully reveal any private information asked for by the mechanism.[1] As an illustration, voting systems which create incentives to vote dishonestly lack the property of IC. In the absence of dummy bidders, collusion, incomplete information, or other factors which interfere with process efficiency, a second price auction is an example of a mechanism that is IC.
There are different degrees of incentive-compatibility: in some games, truth-telling can be a dominant strategy. A weaker notion is that truth-telling is a Bayes-Nash equilibrium: it is best for each participant to tell the truth, provided that others are also doing so.
Incentive-compatible mechanisms in single-parameter domains
A single-parameter domain is a game in which each player i gets a certain positive value vi for "winning" and a value 0 for "losing". A simple example is a single-item auction, in which vi is the value that player i assigns to the item.
For this setting, it is easy to characterize IC mechanisms. Begin with some definitions.
A mechanism is called normalized if every losing bid pays 0.
A mechanism is called monotone if, when a player raises his bid, his chances of winning (weakly) increase.
For a monotone mechanism, for every player i and every combination of bids of the other players, there is a critical value in which the player switches from losing to winning.
A normalized mechanism on a single-parameter domain is IC iff the following two conditions hold:[2]
- The assignment function is monotone in each of the bids, and:
- Every winning bid pays the critical value.
See also
- Lindahl tax
- Preference revelation
- Strategyproofness
References
- ↑ Vleugels, Jan - "Incentive compatibility" 1997
- ↑ Nisam, Noam (2007). "Introduction to Mechanism Design for Computer Scientists". In Nisan, Noam; Roughgarden, Tim; Tardos, Eva; Vazirani, Vijay. Algorithmic Game Theory (PDF). pp. 229–230. ISBN 978-0521872829.