Abstract
General agreement exists about the usefulness of sets as very high- level representations of complex data structures. Therefore it is worthwhile to introduce sets into constraint logic programming or set constraints into programming languages in general.
We start with a brief overview on different notions of sets. This seems to be necessary since there are almost as many different notions in the field as there are applications such as e.g. rapid software prototyping and unification-based grammar formalisms.
An efficient algorithm for treating membership-constraints is introduced. It is used in the implementation of an algorithm for unifying finite sets with tails also presented here. Such a unification algorithm is useful in any logic programming language embedding sets.
Finally it is shown how a full set language including the operators ∈ ∉ ∩, ∪ can be built on membership-constraints. The text closes with a reflection on the complexities of different algorithms - which are single exponential - showing the efficiency of our new algorithm
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Stolzenburg, F. (1996). Membership-Constraints and Complexity in Logic Programming with Sets. In: Baader, F., Schulz, K.U. (eds) Frontiers of Combining Systems. Applied Logic Series, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0349-4_15
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DOI: https://doi.org/10.1007/978-94-009-0349-4_15
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