collaborators

6 papers

cs.AI2025

Hypergame Rationalisability: Solving Agent Misalignment In Strategic Play

Vince Trencsenyi

Differences in perception, information asymmetries, and bounded rationality lead game-theoretic players to derive a private, subjective view of the game that may diverge from the u…

cs.AI2025

Towards a Common Framework for Autoformalization

Agnieszka Mensfelt, David Tena Cucala, Santiago Franco +3

Autoformalization has emerged as a term referring to the automation of formalization - specifically, the formalization of mathematics using interactive theorem provers (proof assis…

cs.AI2025

The Influence of Human-inspired Agentic Sophistication in LLM-driven Strategic Reasoners

Vince Trencsenyi, Agnieszka Mensfelt, Kostas Stathis

The rapid rise of large language models (LLMs) has shifted artificial intelligence (AI) research toward agentic systems, motivating the use of weaker and more flexible notions of a…

cs.AI2025

Approximating Human Strategic Reasoning with LLM-Enhanced Recursive Reasoners Leveraging Multi-agent Hypergames

Vince Trencsenyi, Agnieszka Mensfelt, Kostas Stathis

LLM-driven multi-agent-based simulations have been gaining traction with applications in game-theoretic and social simulations. While most implementations seek to exploit or evalua…

cs.AI2024

Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios

Agnieszka Mensfelt, Kostas Stathis, Vince Trencsenyi

Multi-agent simulations are versatile tools for exploring interactions among natural and artificial agents, but their development typically demands domain expertise and manual effo…

cs.AI2024

Autoformalization of Game Descriptions using Large Language Models

Agnieszka Mensfelt, Kostas Stathis, Vince Trencsenyi

Game theory is a powerful framework for reasoning about strategic interactions, with applications in domains ranging from day-to-day life to international politics. However, applyi…