1 option
Super-intelligent machines / Bill Hibbard.
- Format:
- Book
- Author/Creator:
- Hibbard, Bill.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computers.
- Machine learning.
- Physical Description:
- viii, 228 pages ; 24 cm
- Place of Publication:
- New York : Kluwer Academic/Plenum Publishers, [2002]
- Summary:
- Super-Intelligent Machines combines neuroscience and computer science to analyze future intelligent machines. It describes how they will mimic the learning structures of human brains to serve billions of people via the network, and the superior level of consciousness this will give them. Whereas human learning is reinforced by self-interests, this book describes the selfless and compassionate values that must drive machine learning in order to protect human society. Technology will change life much more in the twenty-first century than it has in the twentieth, and Super-Intelligent Machines explains how that can be an advantage.
- Contents:
- 1. Gotterdammerung 1
- Part I Humans Will Create Super-Intelligent Machines
- 2. The Basics of Machine Intelligence 7
- 3. Computers as Tools 15
- 4. Arguments Against the Possibility of Machine Intelligence 27
- 5. The Current State of the Art in Machine Intelligence 41
- 6. Neuroscience 79
- 7. Dawn of the Gods 99
- Part II Super-Intelligent Machines Must Love All Humans
- 8. Good God, Bad God 113
- 9. Brain Engineering 133
- 10. Current Public Policy for Information Technology 145
- 11. Public Education and Control 155
- 12. Visions of Machine Intelligence 165
- 13. Endings 175
- Part III Should Humans Become Super-Intelligent Machines?
- 14. Current Connections Between Brains and Machines 185
- 15. Humans Minds in Machine Brains 189
- 16. Humans Will Want to Become Super-Intelligent Machines 193
- 17. Super-Intelligent Humans Must Love All Humans 199
- 18. The Ultimate Engineering Challenge 205
- 19. Inventing God 209
- 20. Messages to the Future 213.
- Notes:
- Includes bibliographical references (pages 217-221) and index.
- ISBN:
- 0306473887
- OCLC:
- 50124453
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.