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portada Decision Theory and the Future of AI
Type
Physical Book
Illustrated by
Publisher
Author
Language
English
Pages
185
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.3 cm
Weight
0.45 kg.
ISBN13
9783031192814
Categories

Decision Theory and the Future of AI

Yang Liu (Illustrated by) · Stephan Hartmann (Illustrated by) · Huw Price (Illustrated by) · Springer · Hardcover

Decision Theory and the Future of AI - Liu, Yang ; Hartmann, Stephan ; Price, Huw

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Synopsis "Decision Theory and the Future of AI "

This book appeals to students, researchers and professionals working in philosophy and related fields on decision theory applied to artificial intelligence. These chapters stem from the topical conference series, 'Decision Theory and the Future of AI' which began in 2017 as a collaboration between the Leverhulme Centre for the Future of Intelligence (CFI) and the Centre for the Study of Existential Risk (CSER) at Cambridge, and the Munich Center for Mathematical Philosophy (MCMP) at LMU Munich. The range of topics, and even more so the range of authors and their home disciplines and affiliations, are a tribute to the richness of the territory, both in intellectual and in community-building terms. Previously published in Synthese Volume 198, supplement issue 27, November 2021 Chapter Approval-directed agency and the decision theory of Newcomb-like problems is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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