123 citations · 260 across the 15 of their papers we have counts for
15 papers
Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation
Zainab Alalawi, Paolo Bova, Theodor Cimpeanu +8
There is general agreement that some form of regulation is necessary both for AI creators to be incentivised to develop trustworthy systems, and for users to actually trust those s…
Promoting Social Behaviour in Reducing Peak Electricity Consumption Using Multi-Agent Systems
Nathan A. Brooks, Simon T. Powers, James M. Borg
As we transition to renewable energy sources, addressing their inflexibility during peak demand becomes crucial. It is therefore important to reduce the peak load placed on our ene…
Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research
James M. Borg, Andrew Buskell, Rohan Kapitany +3
The goal of Artificial Life research, as articulated by Chris Langton, is "to contribute to theoretical biology by locating life-as-we-know-it within the larger picture of life-as-…
An Overview of Agent-based Traffic Simulators
Johannes Nguyen, Simon T. Powers, Neil Urquhart +2
Individual traffic significantly contributes to climate change and environmental degradation. Therefore, innovation in sustainable mobility is gaining importance as it helps to red…
When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games
The Anh Han, Cedric Perret, Simon T. Powers
The actions of intelligent agents, such as chatbots, recommender systems, and virtual assistants are typically not fully transparent to the user. Consequently, using such an agent…
A mechanism to promote social behaviour in household load balancing
Nathan A. Brooks, Simon T. Powers, James M. Borg
Reducing the peak energy consumption of households is essential for the effective use of renewable energy sources, in order to ensure that as much household demand as possible can…