2020
IJCAI
IJCAI 2020
Strategic Campaign Management in Apportionment Elections
Abstract
In parliamentary elections, parties compete for a limited, typically fixed number of seats. We study the complexity of the following bribery-style problem: Given the distribution of votes among the parties, what is the smallest number of voters that need to be convinced to vote for our party, so that it gets a desired number of seats. We also run extensive experiments on real-world election data and measure the effectiveness of our method.
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Interdisciplinary Bridge
— Artificial Intelligence and Mathematics & Optimization
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Keyword Pioneer
— campaign management
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio