3 papers
cs.MA2025
On the Role of Contextual Information and Ego States in LLM Agent Behavior for Transactional Analysis Dialogues
Monika Zamojska, JarosÅaw 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, JarosÅaw 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.AI2025
Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systems
Monika Zamojska, JarosÅaw 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…