Authors: Brian Strom
In this paper on AI Physics, Artificial Intelligence is used to analyse simple experiments on energy fields (presently referred to as magnetic and electromagnetic fields). The AI searches for trends and patterns in the behavior of energy fields and the interactions between energy fields. The AI first observes the similarities between energy fields surrounding conductors, solenoids, permanent magnets and rotating bodies (such as the Earth). It examines the interactions between various energy fields, proposes new experiments, and predicts results. The AI concludes that energy fields will turn or move, if free to do so, to reduce the net field between them. From the behavior of permanent magnets, it is assumed that this movement will also reduce the total energy of the combined energy fields to a minimum.
Comments: minor corrections. 21 pages. Title corrected on viXra.
Unique-IP document downloads: 21 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.