Algorithmic Decision Theory
6th International Conference, ADT 2019, Durham, NC, USA, October 25–27, 2019, Proceedings
Editors: Pekec, Sasa, Venable, Kristen Brent (Eds.)
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- About this book
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This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019. The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.
- Table of contents (10 chapters)
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Combining Local Search and Elicitation for Multi-Objective Combinatorial Optimization
Pages 1-16
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Robustness of Approval-Based Multiwinner Voting Rules
Pages 17-31
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Towards Characterizing the Deterministic Combinatorial Constrained Efficient Space
Pages 32-48
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Integrating Operators’ Preferences into Decisions of Unmanned Aerial Vehicles: Multi-layer Decision Engine and Incremental Preference Elicitation
Pages 49-64
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Refugee Allocation in the Setting of Hedonic Games
Pages 65-80
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Table of contents (10 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Algorithmic Decision Theory
- Book Subtitle
- 6th International Conference, ADT 2019, Durham, NC, USA, October 25–27, 2019, Proceedings
- Editors
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- Sasa Pekec
- Kristen Brent Venable
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 11834
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-31489-7
- DOI
- 10.1007/978-3-030-31489-7
- Softcover ISBN
- 978-3-030-31488-0
- Edition Number
- 1
- Number of Pages
- VIII, 181
- Number of Illustrations
- 560 b/w illustrations, 18 illustrations in colour
- Topics
