Proceedings Abstracts of the Twenty-Third International Joint Conference on Artificial Intelligence

Are There Any Nicely Structured Preference Profiles Nearby? / 62
Robert Bredereck, Jiehua Chen, Gerhard J. Woeginger

We investigate the problem of deciding whether a given preference profile is close to a nicely structured preference profile of a certain type, as for instance single-peaked, single-caved, single-crossing, value-restricted, best-restricted, worst-restricted, medium-restricted, or group-separable profiles. We measure this distance by the number of voters or alternatives that have to be deleted so as to reach a nicely structured profile. Our results classify all considered problem variants with respect to their computational complexity, and draw a clear line between computationally tractable (polynomial time solvable) and computationally intractable (NP-hard) questions.