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AS. A word purely Latin. It has two significations. First, it signifies weight, and in this sense, the Roman as, is the same thing as the Roman pound, which was composed of twelve ounces. It was divided also into many other parts (as may be seen in the law, Servum de hoeredibus, Inst. Lib. xiii. Pandect,) viz. uncia, 1 ounce; sextans, 2 ounces; quodrans, 3 ounces; triens, 4 ounces quincunx, 5 ounces; semis, 6 ounces; septunx, 7 ounces; bes, 8 ounces, dodrans, 9 ounces; dextans, 10 ounces; deunx, 11 ounces.
     2. From this primitive and proper sense of the word another was derived: that namely of the totality of a thing, Solidum quid. Thus as signified the whole of an inheritance, so that an heir ex asse, was an heir of the whole inheritance. An heir ex triente, ex semisse, ex besse, or ex deunce, was an heir of one-third, one-half, two-thirds, or eleven-twelfths.

A Law Dictionary, Adapted to the Constitution and Laws of the United States. By John Bouvier. Published 1856.
References in periodicals archive
Viewing the capabilities of autonomous systems within the context of human-machine systems recognizes a critical role for humans coupling the advantages of both allowing for operational application previously non-existent.
One aspect of the debate that has a practically universal viewpoint is the question of autonomous systems' role in the use of potentially lethal force.
In the future, the Army hopes to provide every autonomous system with the ability to be optionally manned, Coward said.
In both cases it will be critical that the autonomous system be transparent and able to communicate with the human in a manner that takes into consideration the person's background, level of understanding, and predilections.
The Defense Science Board recently released a report that addressed autonomous systems in the military.
It is generally accepted that a fully autonomous system would have the ability to:
"Bonsai has developed a novel approach using machine teaching that abstracts the low-level mechanics of machine learning, so that subject matter experts, regardless of AI aptitude, can specify and train autonomous systems to accomplish tasks...Bonsai's platform combined with rich simulation tools and reinforcement learning work in Microsoft Research becomes the simplest and richest AI toolchain for building any kind of autonomous system for control and calibration tasks.
The Bosch level 3 autonomous system works exactly as has been explained to us in theory, time and again.
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