collaborators

20 papers

cs.LO2026

Explainable Belief Harmonization under Dynamic Epistemic Partitions

Adam Kostka, Jarosław A. Chudziak

Existing approaches to multi-agent belief combination have established mature foundations for combining uncertain beliefs under common assumptions: consensus methods use iterative…

cs.CL2026

CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures

Jakub BÄ ba, Jarosław A. Chudziak

Formalizing complex reasoning from natural text is one of the central challenges in computational linguistics. It requires systems to understand not just keywords but also the cont…

cs.AI2026

Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal

Michał Wawer, Jarosław A. Chudziak

Multi-agent systems are commonly designed to reduce disagreement through voting, consensus protocols, debate, or fault-tolerant aggregation. We argue that this objective is insuffi…

cs.AI2026

Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory

Albert Sadowski, Jarosław 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.…

cs.AI2026

Choosing the Lens: Strategic Perspective Activation in Context-Dependent Argumentation

Albert Sadowski, Jarosław 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…

cs.CY2026

Who Decides What Is Harmful? Content Moderation Policy Through A Multi-Agent Personalised Inference Framework

Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska +1

The increasing scale and complexity of online platforms raises critical policy questions around harmful content, digital well-being, and user autonomy. Traditional content moderati…