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Distributed Artificial Intelligence - Second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020, Proceedings (Paperback, 1st ed. 2020) Loot Price: R1,521
Discovery Miles 15 210
Repayment Terms: R143 pm x 12*
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Distributed Artificial Intelligence - Second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020,...

Distributed Artificial Intelligence - Second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020, Proceedings (Paperback, 1st ed. 2020)

Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao

Series: Lecture Notes in Computer Science, 12547

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. Due to the Corona pandemic this event was held virtually.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12547
Release date: November 2020
First published: 2020
Editors: Matthew E. Taylor • Yang Yu • Edith Elkind • Yang Gao
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 141
Edition: 1st ed. 2020
ISBN-13: 978-3-03-064095-8
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Internet > Network computers
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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LSN: 3-03-064095-7
Barcode: 9783030640958

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