Imagine a robot with an all-around bump sensor. The response to the bump sensor activating depends on the previous state of the robot. If it had been going forward, a bump will send it backwards and ...

This installment starts a new segment of lessons about state machines. The subject conceptually continues the event-driven theme and is one of my favorites [1,2]. Today, you’ll learn what event-driven ...

Computers are, after all, frighteningly complex state machines. Quite of bit of the software we write can be modeled as a state machine, too. A great technological achievement by humans? Turns out, ...

State machines are so common that there are tools devoted to creating them by drawing circles and arts. There are simulators that will recognize your state machine ...

In the past few years, Python has become the preferred programming language for machine learning and deep learning. Most books and online courses on machine learning and deep learning either feature ...

The interest in state machines started in the 1950s when George Moore and Edward Mealy published seminal papers on formal methods of designing digital circuits, which generate outputs based on the ...