The Complexity of Campaigning
June 20, 2017 Β· Declared Dead Β· π Algorithmic Decision Theory
"No code URL or promise found in abstract"
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Authors
Cory Siler, Luke Harold Miles, Judy Goldsmith
arXiv ID
1706.06243
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO
Citations
2
Venue
Algorithmic Decision Theory
Last Checked
4 months ago
Abstract
In "The Logic of Campaigning", Dean and Parikh consider a candidate making campaign statements to appeal to the voters. They model these statements as Boolean formulas over variables that represent stances on the issues, and study optimal candidate strategies under three proposed models of voter preferences based on the assignments that satisfy these formulas. We prove that voter utility evaluation is computationally hard under these preference models (in one case, #P-hard), along with certain problems related to candidate strategic reasoning. Our results raise questions about the desirable characteristics of a voter preference model and to what extent a polynomial-time-evaluable function can capture them.
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