Record link: 
http://hdl.handle.net/20.500.12708/223144
-
Title: 
A Bayesian View of the Result Model
en
Citation: 
Morello, Y., & Ciabattoni, A. (2025). A Bayesian View of the Result Model. In L. Hagedorn, U. Schmid, S. Winter, & S. Woltran (Eds.), Digital Humanism : First Interdisciplinary Science and Research Conference, DIGHUM 2025, Vienna, Austria, November 20–21, 2025, Proceedings (pp. 51–66). Springer. https://doi.org/10.1007/978-3-032-11108-1_4
-
Publisher DOI: 
10.1007/978-3-032-11108-1_4
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Morello, Yoann 
Ciabattoni, Agata 
-
Organisational Unit: 
E192-05 - Forschungsbereich Theory and Logic 
E056-13 - Fachbereich LogiCS 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
-
Published in: 
Digital Humanism : First Interdisciplinary Science and Research Conference, DIGHUM 2025, Vienna, Austria, November 20–21, 2025, Proceedings 
-
ISBN: 
978-3-032-11108-1
-
Volume: 
16319
-
DOI of the book: 
10.1007/978-3-032-11108-1
-
Date (published): 
12-Nov-2025
-
Event name: 
First Interdisciplinary Science and Research Conference (DIGHUM 2025) 
en
Event date: 
20-Nov-2025 - 21-Nov-2025
-
Event place: 
Vienna, Austria
-
Number of Pages: 
16
-
Publisher: 
Springer, Cham
-
Peer reviewed: 
Yes
-
Keywords: 
Bayesian inference; Case-based reasoning; Explainability; Inconsistency; Legal AI; Normative AI Agents
en
Abstract: 
Real-world datasets often contain inconsistencies that challenge traditional case-based reasoning models. Building upon the result model, a well-established formal representation of case base reasoning in law, we propose a Bayesian reinterpretation that effectively addresses such inconsistencies. Our Bayesian enhancement quantifies the reliability of precedents and encapsulates principled, explainable predictions even in the presence of conflict, representing a meaningful step forward in using these models to design AI agents.
en
Research Areas: 
Logic and Computation: 100%
-
Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

9
checked on Dec 23, 2025

Google ScholarTM

Check