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|a 9783030314897
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|a 10.1007/978-3-030-31489-7
|2 doi
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|a 006.3
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|a Algorithmic Decision Theory
|h [electronic resource] :
|b 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings /
|c edited by Saša Pekeč, Kristen Brent Venable.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a VIII, 181 p. 578 illus., 18 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a text file
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|a Lecture Notes in Artificial Intelligence ;
|v 11834
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|a This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019. The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.
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|a Artificial intelligence.
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|a Computer science-Mathematics.
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|a Application software.
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Mathematics of Computing.
|0 http://scigraph.springernature.com/things/product-market-codes/I17001
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|a Computer Applications.
|0 http://scigraph.springernature.com/things/product-market-codes/I23001
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|a Pekeč, Saša.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Venable, Kristen Brent.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783030314880
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|i Printed edition:
|z 9783030314903
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|a Lecture Notes in Artificial Intelligence ;
|v 11834
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|u https://doi.org/10.1007/978-3-030-31489-7
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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