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Artificial Intelligence, Volume 276
Volume 276, November 2019
- Federico Cerutti, Massimiliano Giacomin, Mauro Vallati:
How we designed winning algorithms for abstract argumentation and which insight we attained. 1-40
- Pavel Naumov, Jia Tao:
Knowing-how under uncertainty. 41-56
- Haris Aziz, Péter Biró, Ronald de Haan, Baharak Rastegari:
Pareto optimal allocation under uncertain preferences: uncertainty models, algorithms, and complexity. 57-78 - Arnold Filtser, Nimrod Talmon:
Distributed monitoring of election winners. 79-104 - Yuren Zhou, Xiaoyu He, Yi Xiang, Shaowei Cai:
A set of new multi- and many-objective test problems for continuous optimization and a comprehensive experimental evaluation. 105-129
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