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Artificial Intelligence 192 Success Secrets – 192 Most Asked Questions On Artificial Intelligence – What You Need To Know
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Artificial Intelligence 192 Success Secrets – 192 Most Asked Questions On Artificial Intelligence – What You Need To Know
Author:Whitfield Kelly (EN)
A introductory fragment is available
Language of a book: Английский
Publisher: Gardners Books

    There has never been a Artificial Intelligence Guide like this. It contains 192 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Artificial Intelligence. A quick look inside of some of the subjects covered: Automated planning and scheduling, Dreyfus' critique of AI - Vindicated, International Business Machines - 1980-2013, Neo-Luddism - Further reading, Cognitive science - History, Computer science Artificial intelligence, Quantum computer - Developments, Richard Rashid, Artificial intelligence - Languages, Artificial intelligence - Philosophy, Python (programming language) - Use, Formal reasoning -, International Federation for Information Processing - Technical Committees, Autonomous car - In film, Peter Chen - Awards and honors, Artificial general intelligence - Current mainstream AI research, Outline of technology - By field, Hubert Dreyfus - Achievements, Ontology engineering - Overview, Rekursiv - Further reading, Doug Lenat - Background, Embodied cognition, Artificial intelligence - Predictions and ethics, Technological singularity - History of the idea, ELIZA - Response and legacy, Paul Harmon (management author) - Publications, Peter Thiel - Machine Intelligence Research Institute, Expert system, Dreyfus' critique of artificial intelligence - The grandiose promises of artificial intelligence, Brain transplant - Similar concepts, AI - Platforms, AI - Social intelligence, Hubert Dreyfus - Dreyfus's criticism of AI, AI Winter - Institutional factors, Ware Tetralogy - Wetware, Robotics - Education and training, and much more...

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