DAGGER: Datalog plus /- Argumentation Graph GEneRator

Bruno Yun; Madalina Croitoru; Srdjan Vesic; Pierre Bisquert; ACM

Retour

Acte de colloque

DAGGER: Datalog plus /- Argumentation Graph GEneRator

Bruno Yun, Madalina Croitoru, Srdjan Vesic, Pierre Bisquert et ACM

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18), pp.1841-1843

01/01/2018

Résumé

Automation & Control Systems

Computer Science

Computer Science, Artificial Intelligence

Engineering

Engineering, Electrical & Electronic

Robotics

Science & Technology

Technology

We introduce DAGGER: a generator for logic based argumentation frameworks instantiated from inconsistent knowledge bases expressed using Datalog+/-. The tool allows to import a knowledge base in DLGP format and the generation and visualisation of the corresponding argumentation graph. Furthermore, the argumentation framework can also be exported in the Aspartix format.

Indicateurs

1 Consultations de la notice

Détails

Titre: DAGGER: Datalog plus /- Argumentation Graph GEneRator
Créateurs - sans rôle: Bruno Yun - Univ Montpellier, INRIA GraphIK, Montpellier, France
Madalina Croitoru - Univ Montpellier, INRIA GraphIK, Montpellier, France
Srdjan Vesic - Univ Artois, CRIL, CNRS, Arras, France
Pierre Bisquert - INRA, INRIA GraphIK, Montpellier, France
ACM
Détails de publication: PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18), pp.1841-1843
Éditeur: Assoc Computing Machinery
Nombre de pages: 3
Identifiants: 99139234509311
Unité académique: Ingénierie des Agropolymères et Technologies Emergentes - IATE; Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Langue: English
Type de ressource: Conference proceeding