Nov 10, 4:30pm, Tepper 322
Gabriel Carroll, MIT
A Quantitative Approach to Incentives: Application to Voting Rules
Abstract:
We present a general approach to quantifying a mechanism's susceptibility to
strategic manipulation, based on the premise that agents report their
preferences truthfully if there is little to gain from behaving
strategically. Susceptibility is defined as the maximum amount of expected
utility an agent can gain by manipulating. We apply this measure to anonymous
voting rules, by making minimal restrictions on voters' utility functions and
beliefs about each other's behavior. We give two sets of results. First, we
offer bounds on the susceptiblity of specific voting rules. This includes
considering several voting systems which have been previously advanced as
resistant to manipulation; we find that they are actually more susceptible than
simple plurality rule by our measure. Second, we give asymptotic lower bounds
on susceptibility for any voting rule, under various combinations of
efficiency, regularity, and informational conditions. These results illustrate
the tradeoffs between susceptibility and other properties of the voting rule.