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Finite Automata With Outputs Video Lecture | Theory of Computation - Computer Science Engineering (CSE)
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FAQs on Finite Automata With Outputs Video Lecture - Theory of Computation - Computer Science Engineering (CSE)
| 1. What is a finite automata with outputs? |  |
Ans. A finite automata with outputs, also known as a Mealy machine, is a mathematical model used in computer science and engineering to represent systems that have both inputs and outputs. It consists of a set of states, transitions between states based on inputs, and outputs associated with those transitions.
| 2. How does a finite automata with outputs work? | |
Ans. A finite automata with outputs works by transitioning between its states based on the inputs it receives. Each transition is associated with an output, which is produced when the transition occurs. The machine starts in an initial state and processes the inputs sequentially, updating its state and producing outputs accordingly.
| 3. What is the difference between a Mealy machine and a Moore machine? | |
Ans. The main difference between a Mealy machine and a Moore machine lies in the timing of their outputs. In a Mealy machine, the outputs are associated with the transitions between states, meaning that the outputs can change during the transition. In a Moore machine, the outputs are associated with the states themselves and remain constant until a transition occurs.
| 4. What are the applications of finite automata with outputs? | |
Ans. Finite automata with outputs have various applications in computer science and engineering. They are used in digital circuit design, pattern recognition, control systems, and communication protocols. They are particularly useful in scenarios where systems need to process inputs and produce outputs based on specific patterns or conditions.
| 5. Can a finite automata with outputs recognize and generate infinite languages? | |
Ans. No, a finite automata with outputs cannot recognize or generate infinite languages. As the name suggests, it is a finite machine with a fixed number of states, and its behavior is determined by these states. Therefore, it can only recognize and generate languages that can be represented by a finite number of inputs and outputs.
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Nov 22, 2024 Last updated |
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