most citedTowards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.MA2025

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…

cs.MA2025

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…

cs.MA20251 cited

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…

cs.AI2025

Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systems

Monika Zamojska, Jarosław A. Chudziak

Multi-Agent Systems (MAS) are increasingly used to simulate social interactions, but most of the frameworks miss the underlying cognitive complexity of human behavior. In this pape…

cs.AI2025

AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education

Jarosław A. Chudziak, Adam Kostka

The growing ubiquity of artificial intelligence (AI), in particular large language models (LLMs), has profoundly altered the way in which learners gain knowledge and interact with…

cs.MA2025

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…