Published by De Gruyter 2022

The Quest for a Universal Theory of Intelligence

The Mind, the Machine, and Singularity Hypotheses

Christian Hugo Hoffmann

Overview
Contents

About this book

Now in Paperback

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.

Author / Editor information

Christian Hugo Hoffmann, Karlsruher Institut für Technologie (KIT), Karlsruhe.

Topics

Frontmatter Publicly Available Download PDF	I
Acknowledgments Publicly Available Download PDF	VII
Contents Publicly Available Download PDF	IX
Introduction Requires Authentication Unlicensed Licensed Download PDF	1
Part I: The different localizations, facets and forms of intelligence
Introduction Requires Authentication Unlicensed Licensed Download PDF	9
1 Intelligence in human animals Requires Authentication Unlicensed Licensed Download PDF	17
2 Intelligence in biological animals Requires Authentication Unlicensed Licensed Download PDF	33
3 Intelligence in artificial animals Requires Authentication Unlicensed Licensed Download PDF	59
Part II: Scaffolding intelligence
Introduction Requires Authentication Unlicensed Licensed Download PDF	95
4 Preliminaries and prior work on framing intelligence Requires Authentication Unlicensed Licensed Download PDF	99
5 Towards a causal theory of intelligence Requires Authentication Unlicensed Licensed Download PDF	118
6 Theory in action: Causal modeling Requires Authentication Unlicensed Licensed Download PDF	151
7 Theory validation Requires Authentication Unlicensed Licensed Download PDF	159
Part III: Evaluating machine intelligence in current and past AI
Introduction Requires Authentication Unlicensed Licensed Download PDF	173
8 The Turing Test Requires Authentication Unlicensed Licensed Download PDF	177
9 Caveats and innovations Requires Authentication Unlicensed Licensed Download PDF	183
10 A tentative solution Requires Authentication Unlicensed Licensed Download PDF	193
Part IV: Singularity hypotheses
Introduction Requires Authentication Unlicensed Licensed Download PDF	205
11 Arguments conducive to the belief that the singularity is near Requires Authentication Unlicensed Licensed Download PDF	209
12 Arguments against strong AI: Close but no cigar Requires Authentication Unlicensed Licensed Download PDF	224
13 Closing remarks Requires Authentication Unlicensed Licensed Download PDF	238
Overall conclusion and some practical implications Requires Authentication Unlicensed Licensed Download PDF	241
References Requires Authentication Unlicensed Licensed Download PDF	249
About the author Requires Authentication Unlicensed Licensed Download PDF	279
Index Requires Authentication Unlicensed Licensed Download PDF	281

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Philosophers of mind, AI engineers, laypeople interested in intelligence, institutes, libraries
Pages
- Front matter: 10
- Main content: 283
Illustrations
- Illustrations: 9
- Coloured Illustrations: 30
- Line drawings: 6
- Tables: 8
- Coloured Tables: 2
Keywords: intelligence; causality; artificial intelligence

eBook

Published: May 9, 2022
ISBN: 9783110756166

Hardcover

Published: May 23, 2022
ISBN: 9783110756036

Paperback

Published: October 24, 2023
ISBN: 9783111358277