Jump to content

Single-parameter utility

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Erel Segal (talk | contribs) at 14:32, 7 January 2016 (Created page with 'In mechanism design a '''single-parameter mechanism''' is a mechanism in which the preferences of each agent are represented by a single number. For example,...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

In mechanism design a single-parameter mechanism is a mechanism in which the preferences of each agent are represented by a single number. For example, an auction for a single item is single-parameter, since the preferences of each agent are represented by his evaluation of the item. In contrast, a combinatorial auction for two or more related items is not single-parameter, since the preferences of each agent are represented by his evaluation to all possible bundles of items.

Notation

There is a set of possible outcomes.

There are agents which have different valuations for each outcome.

For every agent , there is a publicly-known subset which are the "winning outcomes" for agent (e.g, in a single-item auction, contains the outcome in which agent wins the item).

For every agent, there is a number which represents the "winning-value" of . The agent's valuation of the outcomes in can take one of two values:[1]: 228–230 

  • for each outcome in ;
  • 0 for each outcome in .

This is a very special case of the the general case (handled e.g. by VCG mechanisms) in which each agent can assign a different value to every outcome in .

The vector of the winning-values of all agents is denoted by .

For every agent , the vector of all winning-values of the other agents is denoted by . So .

A social choice function is a function that takes as input the value-vector and returns an outcome . It is denoted by or .

See also

References

  1. ^ Vazirani, Vijay V.; Nisan, Noam; Roughgarden, Tim; Tardos, Éva (2007). Algorithmic Game Theory (PDF). Cambridge, UK: Cambridge University Press. ISBN 0-521-87282-0.