Failure semantics is a way of understanding what happens when something doesn't work the way we expect it to. Imagine you are playing with your blocks and you try to stack them up really high. But sometimes, your tower falls down instead of staying up. This is an example of failure.
Failure semantics helps us understand what happens when things like this occur. It's like having a set of rules about how we deal with failures in a game. Just like in a game, when something goes wrong, we need to figure out what the consequences are and what we need to do next.
For example, when your tower of blocks falls down, you might get frustrated, but you try again. This is a way of coping with failure. If you keep playing and practicing, you will eventually get better at stacking the blocks and your tower will stay up for longer.
In more complicated situations, such as in technology or engineering, failure semantics helps us understand what went wrong and how to fix it. Engineers and computer programmers use failure semantics to figure out why something didn't work and how to prevent it from happening again in the future. This can involve studying the way the system works, breaking down the problem into smaller parts, and testing possible solutions until they find one that works.
So essentially, failure semantics is a way of understanding and dealing with failure in order to improve and learn from the experience. Just like with your blocks, it's a way of learning and practicing until you get better!