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Fuzzy neutrosophic soft set theory has various applications in science and engineering, especially in the areas of neural networks, operations research, artificial intelligence and decision making.
However, most of the existing applications of deep RL use video images to train the decision making artificial agent but obtaining camera images only for an AUV control purpose could be costly in terms of energy consumption.
The "why," however, is far more critical than the output, and I cannot stress how important the "why" is, because it reduces the overall blackbox-like effect of ANNs (artificial neural networks) — especially important in decision making.
The final weight of evidence favoring one or the other response was expressed as the "likelihood ratio", a formulation that has exerted a prodigious impact on subsequent studies of decision-making and on the development of artificial decision-making algorithms.
Decision making under uncertainty is one of the central tasks of artificial agents.
The decision making mechanisms in the present literature exploit a multitude of artificial intelligence (AI) algorithms to derive proper decisions for operation of the cognitive wireless network.
In the literature, three general categories of decision making solutions can be observed: solutions based on network conditions, multiple attribute algorithms, and artificial intelligence.
Decision making.
Decision making skills.
The most important decision made in artificial regeneration is the selection of the species used in each new stand.
The decision made sense.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com