Implementing higher-order algebraic specifications:
Abstract: "Writing algebraic specifications that are to be executed as rewrite systems is similar to functional programming. There are some differences, however. Algebraic specification languages allow left-hand sides of equations to be complex first-order patterns that would not be allowed in...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam
1991
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Schriftenreihe: | Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS
91,50 |
Schlagworte: | |
Zusammenfassung: | Abstract: "Writing algebraic specifications that are to be executed as rewrite systems is similar to functional programming. There are some differences, however. Algebraic specification languages allow left-hand sides of equations to be complex first-order patterns that would not be allowed in functional languages. Functional languages, on the other hand, have powerful higher-order features not offered by algebraic specification languages. Some functional languages combine higher-order functions with linear first-order patterns involving free data type constructors, thus offering a limited (but highly expressive) mixture of functional programming and algebraic specification A more ambitious integration of the two is obtained by allowing both signatures and equations in algebraic specifications to be higher- order. Operational experiments with such higher-order algebraic specifications can be performed by translating them to [lambda]Prolog, an extension of Prolog to polymorphically typed [lambda]-terms based on higher-order unification. |
Beschreibung: | 12 S. |
Internformat
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520 | 3 | |a Abstract: "Writing algebraic specifications that are to be executed as rewrite systems is similar to functional programming. There are some differences, however. Algebraic specification languages allow left-hand sides of equations to be complex first-order patterns that would not be allowed in functional languages. Functional languages, on the other hand, have powerful higher-order features not offered by algebraic specification languages. Some functional languages combine higher-order functions with linear first-order patterns involving free data type constructors, thus offering a limited (but highly expressive) mixture of functional programming and algebraic specification | |
520 | 3 | |a A more ambitious integration of the two is obtained by allowing both signatures and equations in algebraic specifications to be higher- order. Operational experiments with such higher-order algebraic specifications can be performed by translating them to [lambda]Prolog, an extension of Prolog to polymorphically typed [lambda]-terms based on higher-order unification. | |
650 | 4 | |a Logic programming | |
650 | 4 | |a Rewriting systems (Computer science) | |
810 | 2 | |a Department of Computer Science: Report CS |t Centrum voor Wiskunde en Informatica <Amsterdam> |v 91,50 |w (DE-604)BV008928356 |9 91,50 | |
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id | DE-604.BV008993168 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T17:28:08Z |
institution | BVB |
language | English |
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series2 | Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS |
spelling | Heering, Jan Verfasser aut Implementing higher-order algebraic specifications J. Heering Amsterdam 1991 12 S. txt rdacontent n rdamedia nc rdacarrier Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS 91,50 Abstract: "Writing algebraic specifications that are to be executed as rewrite systems is similar to functional programming. There are some differences, however. Algebraic specification languages allow left-hand sides of equations to be complex first-order patterns that would not be allowed in functional languages. Functional languages, on the other hand, have powerful higher-order features not offered by algebraic specification languages. Some functional languages combine higher-order functions with linear first-order patterns involving free data type constructors, thus offering a limited (but highly expressive) mixture of functional programming and algebraic specification A more ambitious integration of the two is obtained by allowing both signatures and equations in algebraic specifications to be higher- order. Operational experiments with such higher-order algebraic specifications can be performed by translating them to [lambda]Prolog, an extension of Prolog to polymorphically typed [lambda]-terms based on higher-order unification. Logic programming Rewriting systems (Computer science) Department of Computer Science: Report CS Centrum voor Wiskunde en Informatica <Amsterdam> 91,50 (DE-604)BV008928356 91,50 |
spellingShingle | Heering, Jan Implementing higher-order algebraic specifications Logic programming Rewriting systems (Computer science) |
title | Implementing higher-order algebraic specifications |
title_auth | Implementing higher-order algebraic specifications |
title_exact_search | Implementing higher-order algebraic specifications |
title_full | Implementing higher-order algebraic specifications J. Heering |
title_fullStr | Implementing higher-order algebraic specifications J. Heering |
title_full_unstemmed | Implementing higher-order algebraic specifications J. Heering |
title_short | Implementing higher-order algebraic specifications |
title_sort | implementing higher order algebraic specifications |
topic | Logic programming Rewriting systems (Computer science) |
topic_facet | Logic programming Rewriting systems (Computer science) |
volume_link | (DE-604)BV008928356 |
work_keys_str_mv | AT heeringjan implementinghigherorderalgebraicspecifications |