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Abstract
In an earlier paper (Tien 2015), the author defined the concept of a servgood, which can be thought of as a physical good or product enveloped by a services-oriented layer that makes the good smarter or more adaptable and customizable for a particular use. Adding another layer of physical sensors could then enhance its smartness and intelligence, especially if it were to be connected with each other or with other servgoods through the Internet of Things. Such sensed servgoods are becoming the products of the future. Indeed, autonomous vehicles can be considered the exemplar servgoods of the future; it is about decision informatics and embraces the advanced technologies of sensing (i.e., Big Data), processing (i.e., real-time analytics), reacting (i.e., real-time decision-making), and learning (i.e., deep learning). Since autonomous vehicles constitute a huge quality-of-life disruption, it is also critical to consider its policy impact on privacy and security, regulations and standards, and liability and insurance. Finally, just as the Soviet Union inaugurated the space age on October 4, 1957, with the launch of Sputnik, the first man-made object to orbit the Earth, the U. S. has inaugurated an age of automata or autonomous vehicles that can be considered to be the U. S. Sputnik of servgoods, with the full support of the U. S. government, the U. S. auto industry, the U. S. electronic industry, and the U.S. higher educational enterprise.
Keywords
Autonomous vehicles
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goods
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services
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servgoods
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sensors
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Internet of Things
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decision informatics
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Big Data
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real-time analytics
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cloud computing
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deep learning
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privacy
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security
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regulations
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standards
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liability
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insurance
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Sputnik
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James M. Tien.
The Sputnik of servgoods: Autonomous vehicles.
Journal of Systems Science and Systems Engineering, 2017, 26(2): 133-162 DOI:10.1007/s11518-016-5325-1
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