Automata Theory
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## TL;DR Automata theory studies abstract machines and the problems they can solve. Finite automata (regular languages) → Pushdown automata (context-free) → Turing machines (computable). Powers: regular expressions, parsers, compilers, and the theoretical limits of computation. ## Core Explanation Chomsky hierarchy: Type 3 (regular, regex, DFA/NFA), Type 2 (context-free, programming language syntax), Type 1 (context-sensitive), Type 0 (recursively enumerable, Turing-complete). Finite automaton: states + transitions + start state + accept states. NFA (nondeterministic) equivalent to DFA (deterministic) — subset construction converts NFA→DFA (exponential blowup possible). ## Further Reading - ## Related Articles - [AI for Game Theory: Computational Game Playing, Nash Equilibrium, and Multi-Agent Strategy](../../ai/ai-for-gaming-theory.md) - [Music Theory Basics](../../arts/music-theory-basics.md) - [Game Theory: Nash Equilibrium, Zero-Sum Games, and Strategic Interaction](../../business/game-theory-nash-equilibrium-zero-sum-games-and-strategic-interaction.md)