What is difference between automata and finite automata?
I want to understand the distinction between the concepts of automata and finite automata. I'm looking for an explanation of how these two terms differ from each other.
What are the limitations of finite automata?
Could you elaborate on the limitations posed by finite automata in the realm of computational theory? Are there specific tasks or patterns that these automata are unable to recognize or process efficiently? Do they struggle with complexity beyond a certain level? Are there any real-world applications where the limitations of finite automata become particularly apparent or problematic? Additionally, how do these limitations compare to those of other computational models, such as Turing machines? Understanding these constraints could provide valuable insights into the capabilities and limitations of finite automata.
How many stacks are required in finite automata?
Excuse me, I'm curious about the intricacies of finite automata and their operation. Could you elaborate on the role of Stacks in their functioning? Specifically, how many stacks are typically required for a finite automaton to function effectively? Does the number of stacks vary depending on the complexity of the automaton or the task it's designed to accomplish? Clarifying this aspect would greatly assist me in understanding the fundamental principles behind finite automata and their implementation.