The Quest for a Universal Theory of Intelligence : : The Mind, the Machine, and Singularity Hypotheses / / Christian Hugo Hoffmann.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
• VerfasserIn: Hoffmann, Christian Hugo,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2022]; ©2022
• Year of Publication: 2022
• Language: English
• Physical Description: 1 online resource (X, 283 p.)
• Other title: Frontmatter --; Acknowledgments --; Contents --; Introduction --; Part I: The different localizations, facets and forms of intelligence --; 1 Intelligence in human animals --; 2 Intelligence in biological animals --; 3 Intelligence in artificial animals --; Part II: Scaffolding intelligence --; 4 Preliminaries and prior work on framing intelligence --; 5 Towards a causal theory of intelligence --; 6 Theory in action: Causal modeling --; 7 Theory validation --; Part III: Evaluating machine intelligence in current and past AI --; 8 The Turing Test --; 9 Caveats and innovations --; 10 A tentative solution --; Part IV: Singularity hypotheses --; 11 Arguments conducive to the belief that the singularity is near --; 12 Arguments against strong AI: Close but no cigar --; 13 Closing remarks --; Overall conclusion and some practical implications --; References --; About the author --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110756166; 9783110766820; 9783110993899; 9783110994810; 9783110992762; 9783110992755
• DOI: 10.1515/9783110756166
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Christian Hugo Hoffmann.

Recent findings about the capabilities of smart animals such as corvids or octopi and novel types of artificial intelligence (AI), from social robots to cognitive assistants, are provoking the demand for new answers for meaningful comparison with other kinds of intelligence. This book fills this need by proposing a universal theory of intelligence which is based on causal learning as the central theme of intelligence. The goal is not just to describe, but mainly to explain queries like why one kind of intelligence is more intelligent than another, whatsoever the intelligence. Shiny terms like "strong AI," "superintelligence," "singularity" or "artificial general intelligence" that have been coined by a Babylonian confusion of tongues are clarified on the way.