URI | http://purl.tuc.gr/dl/dias/F38E7F94-F5D3-47D8-BBF2-4525C6F255AE | - |
Identifier | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138323934&partnerID=40&md5=c72903427ed5360a65f11451715df840 | - |
Identifier | https://ceur-ws.org/Vol-3209/1871.pdf | - |
Language | en | - |
Extent | 13 pages | en |
Title | Application level explanations for argumentation-based decision making | en |
Creator | Spanoudakis Nikolaos | en |
Creator | Σπανουδακης Νικολαος | el |
Creator | Kakas Antonis | en |
Creator | Koumi Adamos | en |
Publisher | CEUR Workshop Proceedings (CEUR-WS.org) | en |
Content Summary | In this paper we explore the explainability of the Gorgias argumentation framework. Gorgias is being used for automated decision-making or decision-support in real-world systems development. The dialectical argumentation reasoning within the Gorgias framework gives, besides an admissibly supported Position, an internal representation of the argumentative reasoning that leads to this. This representation, can be manipulated by applications to produce case-based human readable explanations. It is also employed by the Gorgias Cloud web-based integrated application development environment that facilitates the development of argumentation-based systems over the internet for providing human-readable
explanations. These explanations can assist both in the development and in the validation of the theory capturing the knowledge of an application. | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2025-02-13 | - |
Date of Publication | 2022 | - |
Subject | Explainable AI | en |
Subject | Argumentation-based Decision Making | en |
Subject | Software as a Service | en |
Subject | Decision Support Systems | en |
Bibliographic Citation | N. I. Spanoudakis, A. C. Kakas and A. Koumi, “Application level explanations for argumentation-based decision making,” in CEUR Workshop Proceedings - 1st International Workshop on Argumentation for eXplainable AI (ArgXAI, co-located with COMMA 2022), Cardiff, UK, 2022, vol. 3209, 2022. | en |