5 papers
LLM Evolution in a Simple Simulated Market
Charlie Pilgrim, Christopher Krupenye, Dora Biro +1
Arguments that AI systems will evolve in harmful ways are largely made in the abstract. We provide a concrete empirical example. We simulate simple markets consisting of population…
Indecision and accuracy under social information across groups sizes
Andrew M Bate, Charlie Pilgrim, Richard P. Mann
Observing the decisions and actions of others provides social information that can inform decisions such as whether to follow. We consider a model where agents simultaneously gathe…
Determining social mechanisms for sequential decision-making in a virtual pedestrian route choice experiment
Anna Sigalou, Yunhe Tong, Charlie Pilgrim +2
Moving groups are routinely faced with a choice of different routes as part of their daily lives, such as choosing between exits from a building. Differences in moving speeds and e…
Many-Eyes and Sentinels in Selfish and Cooperative Groups
Charlie Pilgrim, Andrew M Bate, Anna Sigalou +6
Collective vigilance describes how animals in groups benefit from the predator detection efforts of others. Empirical observations typically find either a many-eyes strategy with a…
The Computational Foundations of Collective Intelligence
Charlie Pilgrim, Joe Morford, Elizabeth Warren +4
Why do collectives outperform individuals when solving some problems? Fundamentally, collectives have greater computational resources with more sensory information, more memory, mo…