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{ "item_title" : "Modeling Decisions for Artificial Intelligence", "item_author" : [" Vicenç Torra", "Yasuo Narukawa "], "item_description" : "This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Ume , 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/133/497/3031334973_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modeling Decisions for Artificial Intelligence|Vicenç Torra

Modeling Decisions for Artificial Intelligence : 20th International Conference, Mdai 2023, Umeå, Sweden, June 19-22, 2023, Proceedings

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Overview

This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Ume , 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.

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Details

  • ISBN-13: 9783031334979
  • ISBN-10: 3031334973
  • Publisher: Springer
  • Publish Date: May 2023
  • Dimensions: 9.21 x 6.14 x 0.6 inches
  • Shipping Weight: 0.9 pounds
  • Page Count: 265

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