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Regulated rewriting

Regulated rewriting is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Regulated rewriting rather than just read about it. In short: Regulated rewriting is a specific area of formal languages studying grammatical systems which are able to take some kind of control over the production applied in a derivation step. For this reason, the grammatical systems studied in Regulated Rewriting theory are also called "Grammars with Controlled Derivations".

Key takeaways

  • Regulated rewriting belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Regulated rewriting to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Regulated rewriting from memory before moving on to harder problems.

Reference excerpt

Regulated rewriting is a specific area of formal languages studying grammatical systems which are able to take some kind of control over the production applied in a derivation step. For this reason, the grammatical systems studied in Regulated Rewriting theory are also called "Grammars with Controlled Derivations". Among such grammars can be noticed:

Matrix Grammars

Basic concepts Definition A Matrix Grammar, M G {\displaystyle MG} , is a four-tuple G = ( N , T , M , S ) {\displaystyle G=(N,T,M,S)} where 1.- N {\displaystyle N} is an alphabet of non-terminal symbols 2.- T {\displaystyle T} is an alphabet of terminal symbols disjoint with N {\displaystyle N}

3.- M = m 1 , m 2 , . . . , m n {\displaystyle M={m_{1},m_{2},...,m_{n}}} is a finite set of matrices, which are non-empty sequences

m i = [ p i 1 , . . . , p i k ( i ) ] {\displaystyle m_{i}=[p_{i_{1}},...,p_{i_{k(i)}}]} , with k ( i ) ≥ 1 {\displaystyle k(i)\geq 1} , and

1 ≤ i ≤ n {\displaystyle 1\leq i\leq n} , where each

p i j 1 ≤ j ≤ k ( i ) {\displaystyle p_{i_{j}}1\leq j\leq k(i)} , is an ordered pair

p i j = ( L , R ) {\displaystyle p_{i_{j}}=(L,R)}

being

L ∈ ( N ∪ T ) ∗ N ( N ∪ T ) ∗ , R ∈ ( N ∪ T ) ∗ {\displaystyle L\in (N\cup T)^{*}N(N\cup T)^{*},R\in (N\cup T)^{*}}

these pairs are called "productions", and are denoted

L → R {\displaystyle L\rightarrow R} . In these conditions the matrices can be written down as

m i = [ L i 1 → R i 1 , . . . , L i k ( i ) → R i k ( i ) ] {\displaystyle m_{i}=[L_{i_{1}}\rightarrow R_{i_{1}},...,L_{i_{k(i)}}\rightarrow R_{i_{k(i)}}]}

4.- S is the start symbol Definition Let M G = ( N , T , M , S ) {\displaystyle MG=(N,T,M,S)} be a matrix grammar and let P {\displaystyle P}

the collection of all productions on matrices of M G {\displaystyle MG} . We said that M G {\displaystyle MG} is of type i {\displaystyle i} according to Chomsky's hierarchy with i = 0 , 1 , 2 , 3 {\displaystyle i=0,1,2,3} , or "increasing length" or "linear" or "without λ {\displaystyle \lambda } -productions" if and only if the grammar G = ( N , T , P , S ) {\displaystyle G=(N,T,P,S)} has the corresponding property.

The classic example Note: taken from Abraham 1965, with change of nonterminals names The context-sensitive language

L ( G ) = { a n b n c n : n ≥ 1 } {\displaystyle L(G)=\{a^{n}b^{n}c^{n}:n\geq 1\}}

is generated by the C F M G {\displaystyle CFMG}

G = ( N , T , M , S ) {\displaystyle G=(N,T,M,S)} where

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Regulated rewriting

Start with the simplest possible case. Write down what Regulated rewriting claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Regulated rewriting before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Regulated rewriting ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Regulated rewriting

In research
Regulated rewriting appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Regulated rewriting in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Regulated rewriting is common in secondary-school and first-year university syllabi. It links to neighbouring topics Formal languages, Formal methods, so understanding it makes those chapters shorter.
In everyday life
Look for Regulated rewriting outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Regulated rewriting in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Regulated rewriting means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Regulated rewriting out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Regulated rewriting in simple terms?

Regulated rewriting is a specific area of formal languages studying grammatical systems which are able to take some kind of control over the production applied in a derivation step. For this reason, the grammatical systems studied in Regulated Rewriting theory are also called "Grammars with Control…

Why does Regulated rewriting matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Regulated rewriting?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Regulated rewriting.

Tags

  • Formal languages
  • Formal methods

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