Question

1.Think about the five steps to writing an algorithm. Why is each step necessary? 2.Why is it important to be precise when writing computer code? 3.Some problems are better solved by a computer and some are better solved by humans. How do you know when a problem should be solved by a computer or by a person? 4.There’s a scientific theory out there that says that our brain uses an algorithm to create our thoughts and it’s called the Theory of Connectivity. This theory suggests that information comes into our brains, is processed, stored, and then results in an output. Does this process sound familiar to you? In what ways do our bodies take in input and respond, sometimes without our control? Give two examples. 5.In what ways is the human brain like a computer? In what ways is it different? (100) points

Answer 1

Answer:

Following are the solution to this question:

Explanation:

In point 1:

The algorithm requires the steps in writing:

Step 1: provide issue description

Step 2: A problem analysis.

Step 3: Designing an algorithm at a high level.

Step 4: Improve the method with details.

Step 5: Algorithm revision

Designers attempt to address our issue by defining it and understand precisely what issue we are working to remedy. Its problem is analyzed or disrupted to find out how it starts and finishes and therefore understands and creates an equation to fix it.

The key part of the problem was its creation of a high-level method and later leave it up. Our implementation is enhanced and further algorithms are provided in more detail. An algorithm would be checked to be certain of fixing the situation, and how much we will solve it.

In point 2:

Rightness, Right, and Thirdly, a right code allows people to become less concerned about glitches and to improve the functionality of a program. Users like correct code as no one enjoys crashing apps.

In point 3:

Whenever a judgment is important or requires the integrity of civilization (it's called "artificial" intelligence for a reason). Example: computers weren’t a person, they feel the emotion.

In point 4:

Yes, I'm familiar with the process. It appears to be the computer's operating system.

Our muscles accept the permission and sometimes react beyond our command by reflex acts. The sneezing as well as the scratch reflection were the two examples.

Input, processing, hoarding, and results theory of connectivity is analogous to the functioning of the human body, which has to recognize input from the surrounding conditions in which it produces and delivers the output. Involuntary measures taken to react to a stimulus were reflex acts. Whenever the organ receives its feedback, the response is often given before we know.

In point 5:

By mapping the systems into matrices, machines can model neural nets. In every gross detail, we don't know how the brain functions. We learn more constantly, but the long way is still ahead of us.