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David Epstein: Why Generalists Thrive in a Specialized World
“As computers master more of the skills once reserved for highly focused humans,” says David, “people who think broadly and embrace diverse experiences and perspectives will increasingly thrive.” David’s conclusions run counter to the prevailing view among “experts” who argue that anyone who wants to develop a skill, play an instrument, or lead their field should start early, focus intensely, and rack up as many hours of deliberate practice as possible.
“If you dabble or delay,” they say “you’ll never catch up to the people who got a head start.” But a closer look at research on the world’s top performers, from professional athletes to Nobel laureates, paints a very different picture.
In his research, David Epstein discovers that while generalists often do find their path late—juggling many interests rather than focusing on one—they arrive at their destination with a higher degree of “fit” after undergoing a prolonged sampling period.
Teleassistance: contextual guidance for autonomous manipulation
We present teleassistance, a two-tiered control structure for robotic manipulation that combines the advantages of autonomy and teleoperation.
First, the servo routines can position the robot in relative coordinates and interpret feedback within a constrained context.
This helps to alleviate many of the problems inherent to teleoperation, including poor mappings between operator and robot physiology, reliance on a broad communication bandwidth, and the potential for robot damage when solely under remote control.
Envisaging a futuristic environment of man-machine and machine-machine synergy, this article documents our research on the augmented Z-numbers, the Z*-numbers, for machine-perception encapsulation.
We have proposed: (a) definitions for certainty and affect parameters-arising out of socio-cultural influences on machine-knowledge, (b) a Z*-number based rudimentary procedure for natural-language comprehension emulation, and (c) primitive perception-operators for 'machine-mentalese' simulation using Z*-number information-equivalents.
- On 17. oktober 2021
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