Augmenting an Answer Set Based Controlled Natural Language with Temporal Expressions
In this paper we discuss how we can augment an existing controlled natural language in a systematic way with temporal expressions in order to write high-level temporal specifications which require reasoning about action and change. We show that domain-dependent axioms which are necessary to specify...
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Published in | PRICAI 2019: Trends in Artificial Intelligence Vol. 11670; pp. 500 - 513 |
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Main Author | |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2019
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 3030299074 9783030299071 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-030-29908-8_40 |
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