6 papers
On Measuring Semantic Preservation in Legal Ontology Learning
Albert Sadowski, Jarosław A. Chudziak
Ontology learning transforms unstructured text into structured representations for automated reasoning. Yet structuring information risks losing it, and current evaluation methodol…
Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory
Albert Sadowski, JarosÅaw A. Chudziak
AI agents operating over extended time horizons accumulate experiences that serve multiple concurrent goals, and must often maintain conflicting interpretations of the same events.…
Choosing the Lens: Strategic Perspective Activation in Context-Dependent Argumentation
Albert Sadowski, JarosÅaw A. Chudziak
The same arguments often need to be evaluated under different external regimes. An agent with influence over the regime has a strategic lever that standard formalisms do not direct…
Structured Decomposition for LLM Reasoning: Cross-Domain Validation and Semantic Web Integration
Albert Sadowski, JarosÅaw A. Chudziak
Rule-based reasoning over natural language input arises in domains where decisions must be auditable and justifiable: clinical protocols specify eligibility criteria in prose, evid…
On Verifiable Legal Reasoning: A Multi-Agent Framework with Formalized Knowledge Representations
Albert Sadowski, JarosÅaw A. Chudziak
Legal reasoning requires both precise interpretation of statutory language and consistent application of complex rules, presenting significant challenges for AI systems. This paper…
Explainable Rule Application via Structured Prompting: A Neural-Symbolic Approach
Albert Sadowski, JarosÅaw A. Chudziak
Large Language Models (LLMs) excel in complex reasoning tasks but struggle with consistent rule application, exception handling, and explainability, particularly in domains like le…