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A core language for fuzzy answer set programming

Janssen, J., Schockaert, Steven ORCID:, Vermeir, D and De Cock, M 2012. A core language for fuzzy answer set programming. International Journal of Approximate Reasoning 53 (4) , pp. 660-692. 10.1016/j.ijar.2012.01.005

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A number of different Fuzzy Answer Set Programming (FASP) formalisms have been proposed in the last years, which all differ in the language extensions they support. In this paperwe investigate the expressivity of these frameworks. Specificallywe showhowa variety of constructs in these languages can be implemented using a considerably simpler core language. These simulations are important as a compact and simple language is easier to implement and to reason about, while an expressive language offers more options when modeling problems.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: Fuzzy logic ; Answer set programming ; Declarative problem solving
Publisher: Elsevier
ISSN: 0888-613X
Last Modified: 20 Oct 2022 09:24

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