Open AccessA testbed to enable comparisons between competing approaches for computational social choice
Author(s) -
John Doucette,
Robin Cohen
Publication year - 2017
Publication title -
big data and information analytics
Language(s) - English
Resource type - Journals
eISSN - 2380-6974
pISSN - 2380-6966
DOI - 10.3934/bdia.2016013
Subject(s) - testbed , computer science , rank (graph theory) , context (archaeology) , domain (mathematical analysis) , preference , voting , action (physics) , social choice theory , order (exchange) , field (mathematics) , group decision making , artificial intelligence , operations research , data science , machine learning , engineering , computer network , paleontology , mathematical analysis , physics , mathematics , welfare economics , finance , combinatorics , quantum mechanics , politics , political science , pure mathematics , law , economics , biology , microeconomics