A Petri Net-Based Notation for Normative Modeling: Evaluation on Deontic Paradoxes
| Authors | |
|---|---|
| Publication date | 2018 |
| Host editors |
|
| Book title | AI Approaches to the Complexity of Legal Systems |
| Book subtitle | AICOL International Workshops 2015-2017: AICOL-VI@JURIX 2015, AICOL-VII@EKAW 2016, AICOL-VIII@JURIX 2016, AICOL-IX@ICAIL 2017, and AICOL-X@JURIX 2017 : revised selected papers |
| ISBN |
|
| ISBN (electronic) |
|
| Series | Lecture Notes in Computer Science |
| Event | Workshop on MIning and REasoning with Legal texts |
| Pages (from-to) | 89-104 |
| Number of pages | 16 |
| Publisher | Cham: Springer |
| Organisations |
|
| Abstract |
Developing systems operating in alignment with norms is not a straightforward endeavour. Part of the problems derive from the suggestion that law concerns a system of norms, which, in abstract, in a fixed point in time, could be approached and expressed atemporally, but, when it is contextualized and applied, it deals with a continuous flow of events modifying the normative directives as well. The paper presents an alternative approach to some of these problems, exemplified by well-known deontic puzzles, by extending the Petri net notation, most common in process modeling, to Logic Programming Petri Nets. The resulting visual formalism represents in a integrated, yet distinct fashion, procedural and declarative aspects of the system under study, including normative ones. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-030-00178-0_6 |
| Other links | https://www.scopus.com/pages/publications/85064451242 |
| Downloads |
MIREL.2
(Submitted manuscript)
Sileno2018_Chapter_APetriNet-BasedNotationForNorm
(Final published version)
|
| Permalink to this page | |
