Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systems
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
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 paper, we introduce Trans-ACT (Transactional Analysis Cognitive Toolkit), an approach embedding Transactional Analysis (TA) principles into MAS to generate agents with realistic psychological dynamics. Trans-ACT integrates the Parent, Adult, and Child ego states into an agent's cognitive architecture. Each ego state retrieves context-specific memories and uses them to shape response to new situations. The final answer is chosen according to the underlying life script of the agent. Our experimental simulation, which reproduces the Stupid game scenario, demonstrates that agents grounded in cognitive and TA principles produce deeper and context-aware interactions. Looking ahead, our research opens a new way for a variety of applications, including conflict resolution, educational support, and advanced social psychology studies.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 23 of its 51 references that are in the map. First posted on arXiv 28 Jul 2025.
Builds on
23 of 51 references.
Closest ancestors · 4
Same direction, newest first
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- 2024LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and Opportunities8 May
- 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr
Other references · 19
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- 2025Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decompositioncited by 17
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- 2022An Analysis and Comparison of ACT-R and Soarcited by 12
- 2024Bootstrapping Cognitive Agents with a Large Language Modelcited by 9
- 2025ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Predictioncited by 9
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Built on by
Citing papers per year: 2026: 3.
3 papers.
- 2026Towards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate Synthesis25 Sep 2026
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- 2026Improving Implicit Hate Speech Detection via a Community-Driven Multi-Agent Framework14 Jan 2026
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