No, human-inaccessible decisions doesn't help data science contribute to the interplay of human and artificial intelligence because data science does not contribute to the interaction between human and artificial intelligence in a way that renders judgments inaccessible to humans.
<h3>
What is the difference between human and artificial intelligence?</h3>
Whether it is human or artificial, intelligence is crucial. Human intelligence is a quality that aids people in learning, comprehending, and coming up with innovative solutions to problems, as opposed to artificial intelligence, which imitates people based on the knowledge it is given.
<h3>
Can humans have artificial intelligence?</h3>
In order for the area to advance, engineers are needed to design and test AI systems. Humans and AI cannot be swapped since neither can exist without the other. Many developers believe that in the future, robots may be able to reason for themselves.
Learn more about human and artificial intelligence: brainly.com/question/23791705
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Direct Observation, Indirect Observation, Random Sampling and lastly, Mark-and-recapture study.
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The statement, "Network diagrams illustrate the technical constraints among activities," means the activities are constrained because one activity cannot be started until the predecessors are finished.
Option: B
Explanation:
- Network means an inter connection between various sectors. This type of diagram shows the inter relationship among the sectors. Each activity has a relation with the other activity. Before finishing a particular work it is not possible to start the next work.
- These process is known as technical constraints. That means the system is mechanized in such way that will restrict the inception of further work before the ending of predecessors. Network diagram always proved helpful in describing the connectivity and accessibility among various segments.
Answer:
Reinforcer
Punishment.
Explanation:
Operating conditioning is a learning method that was developed by one of the most influential psychologist B.F Skinner, and it works through rewards and punishments for changing behavioral patterns. According to this theory, while a behavior followed by reinforcement strengthens the preceding actions, actions resulting in punishment will weaken and are less likely to occur again in the future.