47 citations · 60 across the 34 of their papers we have counts for
5 papers · 1 filter
The Role of Network Topology and Opponent Information in Shaping Cooperation in Multi-Agent Reinforcement Learning Systems
Seongho Son, Stephen Hailes, Mirco Musolesi
Several works have investigated the influence of graph topology on cooperation among artificial agents, while the majority of the literature has focused on modelling agents' adapta…
Emergent Semantic Role Understanding in Language Models
Carla Griffiths, Mirco Musolesi
Understanding how linguistic structure emerges in language models is central to interpreting what these systems learn from data and how much supervision they truly require. In part…
Creative Beam Search: LLM-as-a-Judge For Improving Response Generation
Giorgio Franceschelli, Mirco Musolesi
Large language models are revolutionizing several areas, including artificial creativity. However, the process of generation in machines profoundly diverges from that observed in h…
Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto
Elizaveta Tennant, Stephen Hailes, Mirco Musolesi
Increasing interest in ensuring the safety of next-generation Artificial Intelligence (AI) systems calls for novel approaches to embedding morality into autonomous agents. This goa…
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
Olivia Macmillan-Scott, Mirco Musolesi
The concept of rationality is central to the field of artificial intelligence (AI). Whether we are seeking to simulate human reasoning, or trying to achieve bounded optimality, our…