Callaghan / Armstrong / Miller | The Technological Singularity | Buch | 978-3-662-57174-3 | sack.de

Buch, Englisch, 261 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 4219 g

Reihe: The Frontiers Collection

Callaghan / Armstrong / Miller

The Technological Singularity

Managing the Journey

Buch, Englisch, 261 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 4219 g

Reihe: The Frontiers Collection

ISBN: 978-3-662-57174-3
Verlag: Springer


This volume contains a selection of authoritative essays exploring the

central questions raised by the conjectured technological singularity.

In informed yet jargon-free contributions written by active research

scientists, philosophers and sociologists, it goes beyond philosophical

discussion to provide a detailed account of the risks that the singularity

poses to human society and, perhaps most usefully, the possible actions

that society and technologists can take to manage the journey to any

singularity in a way that ensures a positive rather than a negative

impact on society. The discussions provide perspectives that cover technological,

political and business issues. The aim is to bring clarity and rigor

to the debate in a way that will inform and stimulate both experts and

interested general readers.

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Weitere Infos & Material


Introduction (Stuart Armstrong).- PART 1: RISKS OF, AND RESPONSES TO, THE JOURNEY TO THE SINGULARITY.- The Risks (Roman Yampolskiy & Kaj Sotala).- The Responses (Roman Yampolskiy & Kaj Sotala).- PART 2: MANAGING THE SINGULARITY JOURNEY.- How Change Agencies Affect Our Path Towards a Possible Singularity (Ping Zheng, Mohammed Asif Akhmad).- Agent Foundations for Aligning Machine Intelligence with Human Interests: A Technical Research Agenda (Nate Soares and Benya Fallenstein).- Risk Analysis and Risk Management for the Artificial General Intelligence Research and Development Process (Anthony Barrett, Seth Baum).- Diminishing Returns and Recursive Self Improving AI (Roman Yampolskiy, Andrew Majot).- Energy, Complexity, and the Singularity (Kent Peacock).- Computer simulations as a technological singularity in the empirical sciences (Juan Duran).- Can the Singularity be Patented (David Koepsell).- The Emotional Nature of Postcognitive Singularities (Jordi Vallverdu).- A Psychoanalytical Approach to the Singularity: Why We Cannot Do Without Auxiliary Constructions (Graham Clarke).- PART 3: REFLECTIONS ON THE JOURNEY.- Reflections on Vinge’s Singularity Vision (James Miller).-  Singularity Blog Insights (James Miller, Eliezer Yudkowsky, Stuart Armstrong, Scott Siskind, Scott Aaronson.- Appendix: The Coming Technological Singularity: How to Survive in the Post-Human Era (Vernor Vinge).


Victor Callaghan is Professor of Computer Science at the University of Essex where he founded the Robotics and Intelligent Environments research groups, publishing over 300 related articles. He is president of the Association for the Advancement of Intelligent Environments, director the Creative Science Foundation and a founding board member of Sapience, organizations which all study the impact of artificial intelligence on our futures.

James D. Miller is Associate Professor of Economics at Smith College.  He has a Ph.D. in Economics from the University of Chicago and a law degree from Stanford.  The author of the books Singularity Rising and Game Theory at Work,  he is interested in how increases in human and artificial intelligences will influence the economy.

Roman V. Yampolskiy is a Tenured Associate Professor in the department of Computer Engineering and Computer Science at the University of Louisville. He is the founding and current director of the Cyber Security Lab and an author of many books including Artificial Superintelligence: a Futuristic Approach. Dr. Yampolskiy’s main areas of interest are Artificial Intelligence Safety and Cybersecurity

Stuart Armstrong is, an Alexander Tamas research fellow at the Future of Humanity Institute, works on formal decision theory, general existential risk, the risks and possibilities of Artificial Intelligence (AI), how AIs can learn humane values, assessing expertise and predictions, and anthropic (self-locating) probability. His booklet “Smarter than Us: the rise of machine intelligence” lays out some the challenges in this area.




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