The Age of Em

Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or "ems." Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.

Zusatztext
Hanson honors the physics and the likely future economics of emulated minds. Students of AI, virtual reality, economics, and science can benefit in multiple ways from this extraordinary work of thoughtful and courageous technological forecasting.

Informationen zum Autor
Robin Hanson is an associate professor of economics at George Mason University, and a research associate at the Future of Humanity Institute of Oxford University. Professor Hanson has master´s degrees in physics and philosophy from the University of Chicago, nine years experience in artificial intelligence research at Lockheed and N.A.S.A., a doctorate in social science from California Institute of Technology, 2800 citations, and sixty academic publications, in economics, physics, computer science, philosophy, and more. He blogs at OvercomingBias.com, and has pioneered the field of prediction markets since 1988.

Klappentext
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or ems. Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.

Zusammenfassung
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or "ems." Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.

Inhaltsverzeichnis
Introduction; Basics; 1 Start; 2 Eras; 3 Framing; 4 Assumptions; 5 Implementation; Physics; 6 Scales; 7 Infrastructure; 8 Appearances; 9 Information; 10 Existence; 11 Farewells; Economics; 12 Labor; 13 Efficiency; 14 Work; 15 Business; 16 Growth; 17 Lifecycle; Organization; 18 Clumping; 19 Groups; 20 Conflict; 21 Politics; 22 Rules; Sociology; 23 Mating; 24 Signals; 25 Collaboration; 26 Society; 27 Minds; Implications; 28 Variations; 29 Choices; 30 Finale

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Hanson honors the physics and the likely future economics of emulated minds. Students of AI, virtual reality, economics, and science can benefit in multiple ways from this extraordinary work of thoughtful and courageous technological forecasting.

Autorentext
Robin Hanson is an associate professor of economics at George Mason University, and a research associate at the Future of Humanity Institute of Oxford University. Professor Hanson has master's degrees in physics and philosophy from the University of Chicago, nine years experience in artificial intelligence research at Lockheed and N.A.S.A., a doctorate in social science from California Institute of Technology, 2800 citations, and sixty academic publications, in economics, physics, computer science, philosophy, and more. He blogs at OvercomingBias.com, and has pioneered the field of prediction markets since 1988.

Inhalt
Introduction
Basics
1: Start
2: Eras
3: Framing
4: Assumptions
5: Implementation
Physics
6: Scales
7: Infrastructure
8: Appearances
9: Information
10: Existence
11: Farewells
Economics
12: Labor
13: Efficiency
14: Work
15: Business
16: Growth
17: Lifecycle
Organization
18: Clumping
19: Groups
20: Conflict
21: Politics
22: Rules
Sociology
23: Mating
24: Signals
25: Collaboration
26: Society
27: Minds
Implications
28: Variations
29: Choices
30: Finale

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