Clarity and Ambiguity
If people were to draw what was described, not all the pictures would be the same. There are still many elements that are missing in the description, whether the telescope is looking from the left or the right, or if the man is on the hill or the telescope is on the hill. All these elements remain unknown, so many will interpret this description differently.
In order for people to fully understand a situation or an event, many elements have to be answered before people can interpret the same event occurring. Whether it's the direction or where each element of the event is occurring. In order for everyone to have the same picture, one must fill the missing elements that are not told, and avoid people assuming the missing elements.
If people were to draw what was described, not all the pictures would be the same. There are still many elements that are missing in the description, whether the telescope is looking from the left or the right, or if the man is on the hill or the telescope is on the hill. All these elements remain unknown, so many will interpret this description differently.
In order for people to fully understand a situation or an event, many elements have to be answered before people can interpret the same event occurring. Whether it's the direction or where each element of the event is occurring. In order for everyone to have the same picture, one must fill the missing elements that are not told, and avoid people assuming the missing elements.
Artificial Languages
Enter artificial languages! Unlike a natural language that develops gradually and informally by whole societies, artificial languages are usually developed relatively quickly by small groups for very specific purposes. While they can be complex, they are usually much simpler and more tightly structured than natural languages.
Enter artificial languages! Unlike a natural language that develops gradually and informally by whole societies, artificial languages are usually developed relatively quickly by small groups for very specific purposes. While they can be complex, they are usually much simpler and more tightly structured than natural languages.
The high-level and low-level programming language entries in the middle of the spectrum are uniquely well-suited for computer scientists because they are high enough and abstract enough to feel natural and intuitive for humans, but low enough and structured enough for machines to parse and process with the level of precision that we require of them. After all, computer scientists designed these languages specifically to bridge the communication between human (i.e., the programmer) and machine (i.e., the computer).