Binary_lambda_calculus

Binary combinatory logic

Binary combinatory logic

Computer programming language


Binary combinatory logic (BCL) is a computer programming language that uses binary terms 0 and 1 to create a complete formulation of combinatory logic using only the symbols 0 and 1.[1] Using the S and K combinators, complex boolean algebra functions can be made. BCL has applications in the theory of program-size complexity (Kolmogorov complexity).[1][2]

Definition

S-K Basis

Utilizing K and S combinators of the Combinatory logic, logical functions can be represented in as functions of combinators:

More information Boolean Algebra, S-K Basis ...

Syntax

Backus–Naur form:

 <term> ::= 00 | 01 | 1 <term> <term>

Semantics

The denotational semantics of BCL may be specified as follows:

  • [ 00 ] == K
  • [ 01 ] == S
  • [ 1 <term1> <term2> ] == ( [<term1>] [<term2>] )

where "[...]" abbreviates "the meaning of ...". Here K and S are the KS-basis combinators, and ( ) is the application operation, of combinatory logic. (The prefix 1 corresponds to a left parenthesis, right parentheses being unnecessary for disambiguation.)

Thus there are four equivalent formulations of BCL, depending on the manner of encoding the triplet (K, S, left parenthesis). These are (00, 01, 1) (as in the present version), (01, 00, 1), (10, 11, 0), and (11, 10, 0).

The operational semantics of BCL, apart from eta-reduction (which is not required for Turing completeness), may be very compactly specified by the following rewriting rules for subterms of a given term, parsing from the left:

  •  1100xy   x
  • 11101xyz  11xz1yz

where x, y, and z are arbitrary subterms. (Note, for example, that because parsing is from the left, 10000 is not a subterm of 11010000.)

One step of Rule 110 Cellular Automata in SK-Basis(Written in the Wolfram Language).[3]

BCL can be used to replicate algorithms like Turing machines and Cellular automata,[3] BCL is Turing complete.

See also


References

  1. Tromp, John (2007), "Binary lambda calculus and combinatory logic", Randomness and complexity (PDF), World Sci. Publ., Hackensack, NJ, pp. 237–260, CiteSeerX 10.1.1.695.3142, doi:10.1142/9789812770837_0014, ISBN 978-981-277-082-0, MR 2427553.
  2. Devine, Sean (2009), "The insights of algorithmic entropy", Entropy, 11 (1): 85–110, Bibcode:2009Entrp..11...85D, doi:10.3390/e11010085, MR 2534819
  3. Wolfram, Stephen (2021-12-06). "Combinators: A Centennial View". writings.stephenwolfram.com. Archived from the original on 2020-12-06. Retrieved 2021-02-17.

Further reading


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