Answer:
"Case-Based Reasoning" is the answer for the above question.
Explanation:
- Case-Based Reasoning is a process of decision-making theory in which the new problems were solved based on the previously solved problem.
- It is used in artificial intelligence and robots. This helps to make any AI and robots to do the work and take decisions on its own.
- The theory is used to make any computer that behaves like humans. It can take decisions like a human.
- The above question asked about the method by which the new problem is solved on behalf of the old problem. Hence the answer is "Case-Based Reasoning".
Answer:
The code in python is attached.
Explanation:
- A function called CaloriesBurned is defined
- The function accepts 4 inputs: age,weight,heart_rate,time
- Two variables are assigned for the calories burned by men and women
- finally, the function returns the varaibles caloriesburned_men and caloriesburned_women
Answer:
The answer to this question is given below in the explanation section
Explanation:
The correct answer to this question is: it used a more English-like syntax.
The software developer use high-level language to develop or author the program because it is more likely to English syntax and it would be easy for a software developer to author a program easily instead of using low level language and remembering ones and zeros.
Other options are not correct because:
It can be used on computers without microprocessors: Each computer has a microprocessor either you develop a program using high-level or low-level languages. Changes and modifications are easy in high-level language than in low-level languages. so, the option that prevents anyone from making changes to the software later is wrong. However, high-level languages are less complicated in learning and in authoring the programs but it does not use zeros and ones, it uses English-like syntax. So, the last option is also wrong.
Answer:
Test B.
Explanation:
Test A - 95% effective with 10% false positive rate.
Test B -90% effective with 5% false positive rate.
Test A and B are independent methods.
One of the tests is carried out on a person and turns out to be positive.
To calculate the effectiveness of the test,
Test A = Effectiveness in percentage divided by the false positive rate.
95/10 = 9.5
Test B = Effectiveness in percentage divided by the false positive rate.
90/5 = 18.
Test B has a higher effective rate than Test A.
Therefore Test B is more indicative of a positive result than Test A.
