2022
AAAI
AAAI 2022
The Complexity of Proportionality Degree in Committee Elections
Abstract
Abstract Over the last few years, researchers have put significant effort into understanding of the notion of proportional representation in committee election. In particular, recently they have proposed the notion of proportionality degree. We study the complexity of computing committees with a given proportionality degree and of testing if a given committee provides a particular one. This way, we complement recent studies that mostly focused on the notion of (extended) justified representation. We also study the problems of testing if a cohesive group of a given size exists and of counting such groups.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning and Mathematics & Optimization
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Keyword Pioneer
— cohesive group
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Multi-Agent Systems
Machine Learning > Optimization & Theory > Theory
Mathematics & Optimization > Optimization > Discrete Optimization
Machine Learning > Learning Types > Multi-Agent Systems
Mathematics & Optimization > Optimization > Game Theory
Artificial Intelligence > Core AI > Game Theory