TY - GEN N2 - This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19–22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy. DO - 10.1007/978-3-031-33498-6 DO - doi AB - This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19–22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy. T1 - Modeling decisions for artificial intelligence :20th international conference, MDAI 2023, Umeå, Sweden, June 19-22, 2023, proceedings / AU - Torra, Vicenç, AU - Narukawa, Yasuo, ET - 1st ed. 2023. VL - 13890 CN - Q334 N1 - International conference proceedings. N1 - Includes author index. ID - 1468069 KW - Artificial intelligence KW - Decision making KW - Computer simulation SN - 9783031334986 SN - 3031334981 TI - Modeling decisions for artificial intelligence :20th international conference, MDAI 2023, Umeå, Sweden, June 19-22, 2023, proceedings / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-33498-6 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-33498-6 ER -