Decision Theory and the Future of AI

This book discusses decision theory applied to artificial intelligence, covering topics such as agent approval-directed agency and Newcomb-like problems. It is a result of a collaboration between the Leverhulme Centre for the Future of Intelligence, the Centre for the Study of Existential Risk, and the Munich Center for Mathematical Philosophy.

Format: Hardback
Length: 185 pages
Publication date: 13 October 2022
Publisher: Springer International Publishing AG

This book captivates students, researchers, and professionals engaged in philosophy and related fields, delving into the realm of decision theory applied to artificial intelligence. The chapters herein originate from the highly esteemed topical conference series, "Decision Theory and the Future of AI," which commenced in 2017 as a collaborative endeavor between the Leverhulme Centre for the Future of Intelligence (CFI) and the Centre for the Study of Existential Risk (CSER) at Cambridge, in conjunction with the Munich Center for Mathematical Philosophy (MCMP) at LMU Munich. The breadth of topics covered, as well as the diverse range of authors and their respective backgrounds, affiliations, and disciplines, serve as a testament to the immense richness and depth of this field, both in terms of intellectual exploration and community building.

Previously published in Synthese Volume 198, Supplement Issue 27, November 2021, Chapter Approval-directed agency and the decision theory of Newcomb-like problems is now accessible open access through the following link: link.springer.com. This resource offers valuable insights into the forefront of research in decision theory and its applications to artificial intelligence, making it an invaluable resource for scholars, researchers, and practitioners alike.

Weight: 459g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031192814
Edition number: 1st ed. 2022