4 citations · 9 across the 18 of their papers we have counts for
22 papers
Cooperation Without Adaptation: LLM Agents in a Collective-Risk Dilemma
Trung-Kiet Huynh, Dao-Sy Duy-Minh, Chi-Nguyen Tran +4
Language-model agents are increasingly deployed to act on behalf of people in settings where individual decisions shape shared outcomes. We examine whether five production models a…
Network Topology Shapes AI Intervention Effectiveness on Deception: Truth-Telling vs. Investigative Agents
Zhao Song, Stefan Sarkadi, The Anh Han
Deploying AI agents to combat dishonest communication is an intuitive response to deception in hybrid human-AI societies. However, the efficacy of such interventions in realistic n…
When Numbers Start Talking: Numerical Signalling and Strategic Behaviour Among LLMs
Alessio Buscemi, Daniele Proverbio, Alessandro Di Stefano +3
Large language model (LLM)-based agents increasingly operate in multi-agent systems (MAS) characterised by strategic interaction. However, little is known about whether, and to wha…
Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through Evolutionary Game Theory
Phuc Hoang Truong Huynh, Dung Tran Vinh, Khoa Duc Anh Lam +9
Decentralized Federated Learning (DFL) has emerged as an optimal privacy-preserving solution; however, it remains vulnerable to opportunistic behaviors due to the absence of a cent…
Humans Are More Diverse: Frontier LLMs Show Extreme Policies in Idealised AI Development Races
Phu Hoa Pham, Duy Minh Dao Sy, Trung Kiet Huynh +9
An AI development race creates a multi-agent safety dilemma. Each company can develop slowly and safely, or move faster while taking a risk that may remove its final reward. We use…
Co-evolution of social reward and punishment under institutional interventions
Van An Nguyen, Vuong Khang Huynh, Hoai Thuong Nguyen +14
We investigate how peer and institutional incentives jointly shape the evolution of cooperation, social welfare, and enforcement efficiency in social dilemmas. In a Prisoners Dilem…
Falling Behind Drives Unsafe Development in an Idealised AI Race Experiment
Elias Fernández Domingos, The Anh Han
Technological races create tension between speed and safety: actors may gain by moving faster than competitors, even when risky development is harmful. This is prominent in debates…
Network Reciprocity Shapes Evolutionary Cybersecurity Dynamics
Adeela Bashir, Zia Ush Shamszaman, Zhao Song +1
AI-assisted cybersecurity systems are characterised by continuous adaptation between attackers and defenders, making evolutionary game theory a natural framework for studying their…
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
Trust or Check? Understanding the (Evolutionary) Dynamics of User Trust in AI Systems
Adeela Bashir, Zhao Song, Ndidi Bianca Ogbo +21
As the capabilities and adoption of Artificial Intelligence (AI) systems grow, trust in these AI systems is an increasingly urgent concern. Much research has focused on models of A…
Payoff scaling shapes cooperation in LLM agents across languages
Trung-Kiet Huynh, Dao-Sy Duy-Minh, Thanh-Bang Cao +13
Large language models (LLMs) are increasingly deployed as autonomous agents that negotiate, coordinate, and act on behalf of users. Whether they cooperate in such settings is no lo…
Evolution of Coordination Through Institutional Incentives: An Evolutionary Game Theory Approach
Ndidi Bianca Ogbo, Zhao Song, The Anh Han
There is a broad recognition that commitment-based mechanisms can promote coordination and cooperative behaviours in both biological populations and self-organised multi-agent syst…
Non-participant externalities reshape the evolution of altruistic punishment
Zhao Song, Chen Shen, Valerio Capraro +1
While voluntary participation is a key mechanism that enables altruistic punishment to emerge, its explanatory power typically rests on the common assumption that non-participants…
Network reciprocity turns cheap talk into a force for cooperation
Zhao Song, Chen Shen, The Anh Han
Non-binding communication is common in daily life and crucial for fostering cooperation, even though it has no direct payoff consequences. However, despite robust empirical evidenc…
Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models
Badaru I. Olumuyiwa, The Anh Han, Zia U. Shamszaman
This research presents an innovative approach to cancer diagnosis and prediction using explainable Artificial Intelligence (XAI) and deep learning techniques. With cancer causing n…
Evolution of commitment in the spatial Public Goods Game through institutional incentives
Lucas S. Flores, The Anh Han
Studying social dilemmas prompts the question of how cooperation can emerge in situations where individuals are expected to act selfishly. Here, in the framework of the one-shot Pu…
We both think you did wrong -- How agreement shapes and is shaped by indirect reciprocity
Marcus Krellner, The Anh Han
Humans judge each other's actions, which at least partly functions to detect and deter cheating and to enable helpfulness in an indirect reciprocity fashion. However, most forms of…
Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety
Paolo Bova, Alessandro Di Stefano, The Anh Han
In the context of rapid discoveries by leaders in AI, governments must consider how to design regulation that matches the increasing pace of new AI capabilities. Regulatory Markets…
Does Spending More Always Ensure Higher Cooperation? An Analysis of Institutional Incentives on Heterogeneous Networks
Theodor Cimpeanu, Francisco C Santos, The Anh Han
Humans have developed considerable machinery used at scale to create policies and to distribute incentives, yet we are forever seeking ways in which to improve upon these, our inst…
Social cohesion V.S. task cohesion: An evolutionary game theory study
Xinglong Qu, Shun Kurokawa, The Anh Han
Using methods from evolutionary game theory, this paper investigates the difference between social cohesion and task cohesion in promoting the evolution of cooperation in group int…
Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments
Ogbo Ndidi Bianca, Aiman Elgarig, The Anh Han
Upon starting a collective endeavour, it is important to understand your partners' preferences and how strongly they commit to a common goal. Establishing a prior commitment or agr…
Making an Example: Signalling Threat in the Evolution of Cooperation
Theodor Cimpeanu, The Anh Han
Social punishment has been suggested as a key approach to ensuring high levels of cooperation and norm compliance in one-shot (i.e. non-repeated) interactions. However, it has been…