Paper Info
Title
Legal Reasoning in Answer Set Programming
Abstract
Answer Set Programming is a declarative problem solving approach, initially tailored to modelling problems in the area of Knowledge Representation and Reasoning. In this article, we provide a knowledge-based system, capable of representing and reasoning about legal knowledge in the context of Answer Set Programming - thus, modelling non-monotonicity that is inherent in legal arguments. The work, although limited to a specific indicative domain, namely, university regulations, has a variety of extensions. The overall approach constitutes a representative implementation of the Answer Set Programming's modelling methodology, as well as an enhancing of the bond between Artificial Intelligence and Legal Science, bringing us a step closer to a successful development of an automated legal reasoning system for real-world applications.
Year
DOI
Venue
2018
10.1109/ICTAI.2018.00055
2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)
Keywords
Field
DocType
Legal Reasoning,Answer Set Programming,Knowledge Representation,Artificial Intelligence
Legal reasoning,Data science,Knowledge representation and reasoning,Legal science,Computer science,Knowledge-based systems,Artificial intelligence,Cognition,Answer set programming,Machine learning
Conference
ISSN
ISBN
Citations 
1082-3409
978-1-5386-7450-5
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Theofanis Aravanis122.44
Konstantinos Demiris200.34
Pavlos Peppas326531.74