Architectural Design; Automated Reasoning; Defeasible Logic; Non-Monotonic Reasoning; Computer Science (all); Industrial and Manufacturing Engineering; Materials Science (miscellaneous); Business and International Management
Abstract :
[en] We present the architecture of Houdini-2.0, a reasoning system that computes the extension of a defeasible deontic theory given as input, the process of computing the consequences of the rules expressed in the theory itself. The decision process is a sceptical, non-monotonic, and it allows us to determine which prescriptive behaviours are in force (obligations, permissions, prohibitions) along with propositional ones. The system is based on pre-existing algorithmic solutions, and it is implemented as an online platform to deploy the results of a computation in several use cases, including those that pertain legal domain.
Disciplines :
Computer science
Author, co-author :
Cristani, Matteo; Department of Computer Science, University of Verona, Verona, Italy
Governatori, Guido; Brisbane, Australia
Olivieri, Francesco; Brisbane, Australia
PASETTO, Luca ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) ; Department of Computer Science, University of Verona, Verona, Italy
Tubini, Francesco; Department of Computer Science, University of Verona, Verona, Italy
Veronese, Celeste; Department of Computer Science, University of Verona, Verona, Italy
Villa, Alessandro; Department of Computer Science, University of Verona, Verona, Italy
Zorzi, Edoardo; Department of Computer Science, University of Verona, Verona, Italy ; Department of Computer Science, ETH Zurich, Zurich, Switzerland
External co-authors :
yes
Language :
English
Title :
The architecture of a reasoning system for Defeasible Deontic Logic
Publication date :
2023
Event name :
27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
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