A person can be able to measure if AI is acting like a human by the use of Turing test.
<h3>How do we measure of artificial intelligence is acting like a human?</h3>
One can measure if AI is Acting humanly via the use of a human who is said to interrogates the program and also the use of another person through the use of a terminal simultaneously.
Note that If after some amount of time or period, the interrogator is said to be unable to tell which is which, the program is said to have passed. To pass this test it is one that needs natural language processing.
Hence, A person can be able to measure if AI is acting like a human by the use of Turing test.
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Using the computer language in python to write a function code that personalized house signs
<h3>Writting the code in python:</h3>
<em>#Assign varibles</em>
<em>charge = 0.00</em>
<em>numChars = 8</em>
<em>color = "gold"</em>
<em>woodType = "oak"</em>
<em />
<em>#Checking for number of characters</em>
<em>if numChars > 5:</em>
<em>charge = 35 + (numChars-5)*4</em>
<em>elif numChars > 0:</em>
<em>charge = 35</em>
<em />
<em>#Checking wood type</em>
<em>if woodType == "oak":</em>
<em>charge += 20</em>
<em />
<em>#Checking for color</em>
<em>if color == "gold":</em>
<em>charge += 15</em>
<em />
<em>#Print output</em>
<em>print("The charge for this sign is $"+str(charge)+".")</em>
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The right answer for the question that is being asked and shown above is that: "c.)studying the actions and efficiency of workers." Just-in-time management could be best defined in the way of <span>c.)studying the actions and efficiency of workers</span>
Answer:
continual user involvement gives the flexibility to analyze the requirements in right direction. because there is continuous meetings with the end user and he can provide right direction or avoids wrong interpretation of the requirement
Explanation:
continual user involvement is useful when we are following agile methodology where we are building complex systems. it is not useful for simple sytems and following waterfall methodology
