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Jonas Vistrup

dblp:358/3293 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-7704-3656ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Automated reasoning and model checking · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic programming
0.912025
An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025
Automated reasoning and model checking
explanation generation
0.912025
An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025
Automated reasoning and model checking › theorem proving › resolution theorem proving
SLD-resolution
0.912025
An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025
Computational social science and digital humanities
legal informatics
0.312025
An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025

Methods — techniques the papers use, named apart from their topics

datalog · 2.6SLD-resolution · 2.6
YearPublicationVenuePosition
2025 An Expert System for Danish Traffic Law Cases (Student Abstract)
abstract
We present FÆRDXEL, an expert system for providing answers and explanations to legal questions (queries) regarding Danish traffic law cases. It utilizes a Datalog encoding of Danish traffic laws and uses SLD-resolution to answer queries. The SLD-resolution’s trace of operations can be converted into a legal explanation for the query. A user interface allows legal professionals to input case facts, ask questions, and explore explanations. Feedback from legal experts identified usability challenges and potential end-users, including traffic police and judges. Future steps include empirical evaluation of soundness, integrating punishment reasoning, and enhancing usability through natural language processing.
Jonas Vistrup
AAAI1