AIMay 16, 2014

Model revision inference for extensions of first order logic

arXiv:1405.4206v1
Originality Synthesis-oriented
AI Analysis

This work addresses incremental improvements in model revision for logic programming, primarily relevant to researchers in knowledge representation and reasoning.

The research tackles the problem of model revision inference for extensions of first-order logic, focusing on developing methods to update logical models in knowledge representation and reasoning contexts, with results presented at a doctoral consortium but lacking concrete numerical outcomes.

I am Joachim Jansen and this is my research summary, part of my application to the Doctoral Consortium at ICLP'14. I am a PhD student in the Knowledge Representation and Reasoning (KRR) research group, a subgroup of the Declarative Languages and Artificial Intelligence (DTAI) group at the department of Computer Science at KU Leuven. I started my PhD in September 2012. My promotor is prof. dr. ir. Gerda Janssens and my co-promotor is prof. dr. Marc Denecker. I can be contacted at joachim.jansen@cs.kuleuven.be or at: Room 01.167 Celestijnenlaan 200A 3001 Heverlee Belgium An extended abstract / full version of a paper accepted to be presented at the Doctoral Consortium of the 30th International Conference on Logic Programming (ICLP 2014), July 19-22, Vienna, Austria

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