### Abstract

Logic programming, a class of programming languages based on first-order logic, provides simple and efficient tools for goal-oriented proof-search. Logic programming supports recursive computations, and some logic programs resemble the inductive or coinductive definitions written in functional programming languages. In this paper, we give a coalgebraic semantics to logic programming. We show that ground logic programs can be modelled by either P-f P-f-coalgebras or P-f List-coalgebras on Set. We analyse different kinds of derivation strategies and derivation trees (proof-trees, SLD-trees, and-or parallel trees) used in logic programming, and show how they can be modelled coalgebraically.

Language | English |
---|---|

Title of host publication | Algebraic Methodology and Software Technology |

Subtitle of host publication | 13th International Conference, AMAST 2010, Lac-Beauport, QC, Canada, June 23-25, 2010. Revised Selected Papers |

Editors | Michael Johnson, Dusko Pavlovic |

Publisher | Springer |

Pages | 111-127 |

Number of pages | 17 |

ISBN (Electronic) | 9783642177965 |

ISBN (Print) | 9783642177958 |

DOIs | |

Publication status | Published - 2011 |

### Publication series

Name | Lecture Notes in Computer Science |
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Publisher | Springer Berlin Heidelberg |

Volume | 6486 |

ISSN (Print) | 0302-9743 |

### Fingerprint

### Keywords

- Logic programming
- SLD-resolution
- Parallel Logic programming
- Coalgebra
- Coinduction

### Cite this

*Algebraic Methodology and Software Technology: 13th International Conference, AMAST 2010, Lac-Beauport, QC, Canada, June 23-25, 2010. Revised Selected Papers*(pp. 111-127). (Lecture Notes in Computer Science; Vol. 6486). Springer. https://doi.org/10.1007/978-3-642-17796-5_7

}

*Algebraic Methodology and Software Technology: 13th International Conference, AMAST 2010, Lac-Beauport, QC, Canada, June 23-25, 2010. Revised Selected Papers.*Lecture Notes in Computer Science, vol. 6486, Springer, pp. 111-127. https://doi.org/10.1007/978-3-642-17796-5_7

**Coalgebraic Semantics for Parallel Derivation Strategies in Logic Programming.** / Komendantskaya, Ekaterina; McCusker, Guy; Power, John.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Coalgebraic Semantics for Parallel Derivation Strategies in Logic Programming

AU - Komendantskaya, Ekaterina

AU - McCusker, Guy

AU - Power, John

PY - 2011

Y1 - 2011

N2 - Logic programming, a class of programming languages based on first-order logic, provides simple and efficient tools for goal-oriented proof-search. Logic programming supports recursive computations, and some logic programs resemble the inductive or coinductive definitions written in functional programming languages. In this paper, we give a coalgebraic semantics to logic programming. We show that ground logic programs can be modelled by either P-f P-f-coalgebras or P-f List-coalgebras on Set. We analyse different kinds of derivation strategies and derivation trees (proof-trees, SLD-trees, and-or parallel trees) used in logic programming, and show how they can be modelled coalgebraically.

AB - Logic programming, a class of programming languages based on first-order logic, provides simple and efficient tools for goal-oriented proof-search. Logic programming supports recursive computations, and some logic programs resemble the inductive or coinductive definitions written in functional programming languages. In this paper, we give a coalgebraic semantics to logic programming. We show that ground logic programs can be modelled by either P-f P-f-coalgebras or P-f List-coalgebras on Set. We analyse different kinds of derivation strategies and derivation trees (proof-trees, SLD-trees, and-or parallel trees) used in logic programming, and show how they can be modelled coalgebraically.

KW - Logic programming

KW - SLD-resolution

KW - Parallel Logic programming

KW - Coalgebra

KW - Coinduction

U2 - 10.1007/978-3-642-17796-5_7

DO - 10.1007/978-3-642-17796-5_7

M3 - Chapter

SN - 9783642177958

T3 - Lecture Notes in Computer Science

SP - 111

EP - 127

BT - Algebraic Methodology and Software Technology

A2 - Johnson, Michael

A2 - Pavlovic, Dusko

PB - Springer

ER -