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20242026
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cs.AI2026

A Survey on Hypergame Theory: Modelling Misaligned Perceptions and Nested Beliefs for Multi-Agent Systems

Vince Trencsenyi, Agnieszka Mensfelt, Kostas Stathis

The paper surveys hypergame theory, which models agents' differing perceptions and nested beliefs in multi-agent systems, and reviews its applications across domains such as cybers…

cs.AI2026

PrologMCP: A Standardized Prolog Tool Interface for LLM Agents

Agnieszka Mensfelt, Adarsh Prabhakaran, Adrian Haret +2

Frontier reasoning-tuned language models still fail on deductive tasks at depth, and the cost of improved performance through extended internal reasoning scales poorly. Symbolic de…

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

Proceedings of the Second International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2025)

Ha-Thanh Nguyen, Ken Satoh, Francesca Toni +2

Reasoning is an essential component of human intelligence in that it plays a fundamental role in our ability to think critically, support responsible decisions, and solve challengi…

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

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…