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About this product
- Author(s)Roman V. Yampolskiy
- PublisherApple Academic Press Inc.
- Date of Publication19/08/2015
- GenreComputing: Professional & Programming
- Place of PublicationOakville
- Country of PublicationCanada
- ImprintApple Academic Press Inc.
- Content Note6 black & white illustrations, 3 black & white tables
- Weight328 g
- Width156 mm
- Height235 mm
- Spine15 mm
- Table Of ContentsPreface Acknowledgments About the Author AI-Completeness: The Problem Domain of Superintelligent Machines Introduction The Theory of AI-Completeness Definitions Turing Test as the First AI-Complete Problem Reducing Other Problems to a TT Other Probably AI-Complete Problems First AI-Hard Problem: Programming Beyond AI-Completeness Conclusions References The Space of Mind Designs and the Human Mental Model Introduction Infinitude of Minds Size, Complexity, and Properties of Minds Space of Mind Designs A Survey of Taxonomies Mind Cloning and Equivalence Testing Across Substrates Conclusions References How to Prove You Invented Superintelligence So No One Else Can Steal It Introduction and Motivation Zero Knowledge Proof Captcha AI-Completeness Supercaptcha Conclusions References Wireheading, Addiction, and Mental Illness in Machines Introduction Wireheading in Machines Sensory Illusions: A Form of Indirect Wireheading Potential Solutions to the Wireheading Problem Perverse Instantiation Conclusions and Future Work References On the Limits of Recursively Self-Improving Artificially Intelligent Systems Introduction Taxonomy of Types of Self-Improvement On the Limits of Recursively Self-Improving Artificially Intelligent Systems Analysis RSI Convergence Theorem Conclusions References Singularity Paradox and What to Do About It Introduction to the Singularity Paradox Methods Proposed For Dealing with SP Prevention from Development Restricted Deployment Incorporation into Society Self-Monitoring Indirect Solutions Analysis of Solutions Future Research Directions Conclusions References Superintelligence Safety Engineering Ethics and Intelligent Systems Artificial Intelligence Safety Engineering Grand Challenge Artificial General Intelligence Research is Unethical Robot Rights Conclusions References Artificial Intelligence Confinement Problem (and Solution) Introduction Artificial Intelligence Confinement Problem Hazardous Software Critique of the Confinement Approach Possible Escape Paths Social Engineering Attacks System Resource Attacks Beyond Current Physics Attacks Pseudoscientific Attacks External Causes of Escape Information In-Leaking Critique of the AI-Boxing Critique Countermeasures against Escape Preventing Social Engineering Attacks Preventing System Resource Attacks and Future Threat Preventing External Causes of Escape Preventing Information In-Leaking AI Communication Security How to Safely Communicate With a Superintelligence Conclusions and Future Work References Efficiency Theory: A Unifying Theory for Information, Computation, and Intelligence Introduction Efficiency Theory Information and Knowledge Intelligence and Computation Time and Space Compressibility and Randomness Oracles and Undecidability Intractable and Tractable Conclusions and Future Directions References Controlling the Impact of Future Superintelligence Why I Wrote This Book Machine Ethics Is a Wrong Approach Can the Problem Be Avoided? References
- Author BiographyRoman V. Yampolskiy holds a PhD from the Department of Computer Science and Engineering at the University at Buffalo (Buffalo, NY). There, he was a recipient of a four-year National Science Foundation (NSF) Integrative Graduate Education and Research Traineeship (IGERT) fellowship. Before beginning his doctoral studies, Dr. Yampolskiy received a BS/MS (High Honors) combined degree in computer science from the Rochester Institute of Technology in New York State. Dr. Yampolskiy's main areas of interest are behavioral biometrics, digital forensics, pattern recognition, genetic algorithms, neural networks, artificial intelligence, and games. Dr. Yampolskiy is an author of over 100 publications, including multiple journal articles and books. His research has been cited by numerous scientists and profiled in popular magazines, both American and foreign (New Scientist, Poker Magazine, Science World Magazine), dozens of websites (BBC, MSNBC, Yahoo! News), and on radio (German National Radio, Alex Jones Show).
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