Thursday, January 11, 2007

New Worlds

I am trying to learn the history of programming very quickly. It won't work. It's a whole world. Back to intense study for me....Does this mean I can't obsess about politics?

The Chomsky hierarchy consists of the following levels:
Type-0 grammars (unrestricted grammars) include all formal grammars. They generate exactly all languages that can be recognized by a Turing machine. These languages are also known as the recursively enumerable languages. Note that this is different from the recursive languages which can be decided by an always-halting Turing machine.
Type-1 grammars (context-sensitive grammars) generate the context-sensitive languages. These grammars have rules of the form with A a nonterminal and α, β and γ strings of terminals and nonterminals. The strings α and β may be empty, but γ must be nonempty. The rule is allowed if S does not appear on the right side of any rule. The languages described by these grammars are exactly all languages that can be recognized by a linear bounded automaton (a nondeterministic Turing machine whose tape is bounded by a constant times the length of the input.)
Type-2 grammars (context-free grammars) generate the context-free languages. These are defined by rules of the form with A a nonterminal and γ a string of terminals and nonterminals. These languages are exactly all languages that can be recognized by a non-deterministic pushdown automaton.
Context free languages are the theoretical basis for the syntax of most programming languages. Type-3 grammars (regular grammars) generate the regular languages. Such a grammar restricts its rules to a single nonterminal on the left-hand side and a right-hand side consisting of a single terminal, possibly followed (or preceded, but not both in the same grammar) by a single nonterminal. The rule is also here allowed if S does not appear on the right side of any rule. These languages are exactly all languages that can be decided by a finite state automaton. Additionally, this family of formal languages can be obtained by regular expressions. Regular languages are commonly used to define search patterns and the lexical structure of programming languages
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2 comments:

  1. Because I have to have at least a conceptual understanding of multiple programming languages to understand how our software interfaces with them.

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