2 citations · 5 across the 20 of their papers we have counts for
8 papers · 1 filter
MultiHedge: Adaptive Coordination via Retrieval-Augmented Control
Feliks Bańka, Jarosław A. Chudziak
Decision-making under changing conditions remains a fundamental challenge in many real-world systems. Existing approaches often fail to generalize across shifting regimes and exhib…
Toward Explanatory Equilibrium: Verifiable Reasoning as a Coordination Mechanism under Asymmetric Information
Feliks Bańka, Jarosław A. Chudziak
LLM-based agents increasingly coordinate decisions in multi-agent systems, often attaching natural-language reasoning to actions. However, reasoning is neither free nor automatical…
When AI Agents Disagree Like Humans: Reasoning Trace Analysis for Human-AI Collaborative Moderation
Michał Wawer, Jarosław A. Chudziak
When LLM-based multi-agent systems disagree, current practice treats this as noise to be resolved through consensus. We propose it can be signal. We focus on hate speech moderation…
Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems
Adam Kostka, Jarosław A. Chudziak
LLM-based MAS are gaining popularity due to their potential for collaborative problem-solving enhanced by advances in natural language comprehension, reasoning, and planning. Resea…
On the Role of Contextual Information and Ego States in LLM Agent Behavior for Transactional Analysis Dialogues
Monika Zamojska, Jarosław A. Chudziak
LLM-powered agents are now used in many areas, from customer support to education, and there is increasing interest in their ability to act more like humans. This includes fields s…
TACLA: An LLM-Based Multi-Agent Tool for Transactional Analysis Training in Education
Monika Zamojska, Jarosław A. Chudziak
Simulating nuanced human social dynamics with Large Language Models (LLMs) remains a significant challenge, particularly in achieving psychological depth and consistent persona beh…
Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation
Adam Kostka, Jarosław A. Chudziak
Recently, the field of Multi-Agent Systems (MAS) has gained popularity as researchers are trying to develop artificial intelligence capable of efficient collective reasoning. Agent…
Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System
Adam Kostka, Jarosław A. Chudziak
This paper explores the integration of advanced Multi-Agent Systems (MAS) techniques to develop a team of agents with enhanced logical reasoning, long-term knowledge retention, and…