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  1. Sep 12, 2020 · WHAT DOES AUTOMATA MEAN? • It is the plural of automaton, and it means “something that works automatically”. • Automata theory is the study of abstract computational devices and the computational problems that can be solved using them. • Abstract devices are (simplified) models of real computations. BY: Kapil Saini

  2. Sep 30, 2015 · The document discusses theory of automata and formal languages. It defines key concepts like abstract machines, automata, alphabets, strings, words, languages and provides examples to describe them. Abstract machines are theoretical models of computer systems used to analyze how they work.

  3. Jan 18, 2016 · This document provides an introduction to finite automata. It defines key concepts like alphabets, strings, languages, and finite state machines. It also describes the different types of automata, specifically deterministic finite automata (DFAs) and nondeterministic finite automata (NFAs).

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  4. Jan 6, 2020 · What is the study of Automata Theory? • The study of abstract computing devices, or “machines.” • Days before digital computers • What is possible to compute with an abstract machine • Seminal work by Alan Turing • Why is this useful? • Direct application to creating compilers, programming languages, designing applications.

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  5. LECTURE NOTES. 1. Introduction. (PDF) 2. Logic, circuits, and gates. (PDF) 3. Deterministic finite automata (DFAs) and nondeterministic finite automata (NFAs)

  6. What is Automata Theory? Study of abstract computing devices, or “machines” Automaton = an abstract computing device Note: A “device” need not even be a physical 2 hardware! A fundamental question in computer science: Find out what different models of machines can do and cannot do The theory of computation Computability vs. Complexity

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  8. Sep 18, 2012 · What is Automata Theory? • Study of abstract computing devices, or “machines” • Automaton = an abstract computing device • Note: A “device” need not even be a physical hardware! • A fundamental question in computer science: • Find out what different models of machines can do and cannot do • The theory of computation • Computability vs. Complexity.

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