693 citations · 3.6k across the 81 of their papers we have counts for
8 papers · 1 filter
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Alexander Sasha Vezhnevets, John P. Agapiou, Avia Aharon +7
Agent-based modeling has been around for decades, and applied widely across the social and natural sciences. The scope of this research method is now poised to grow dramatically as…
A Review of Cooperation in Multi-agent Learning
Yali Du, Joel Z. Leibo, Usman Islam +2
Cooperation in multi-agent learning (MAL) is a topic at the intersection of numerous disciplines, including game theory, economics, social sciences, and evolutionary biology. Resea…
Machine Culture
Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon +12
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notio…
Resolving social dilemmas with minimal reward transfer
Richard Willis, Yali Du, Joel Z Leibo +1
Social dilemmas present a significant challenge in multi-agent cooperation because individuals are incentivised to behave in ways that undermine socially optimal outcomes. Conseque…
Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
Aliya Amirova, Theodora Fteropoulli, Nafiso Ahmed +2
Today, using Large-scale generative Language Models (LLMs) it is possible to simulate free responses to interview questions like those traditionally analyzed using qualitative rese…
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity
Yiran Mao, Madeline G. Reinecke, Markus Kunesch +4
Is it possible to evaluate the moral cognition of complex artificial agents? In this work, we take a look at one aspect of morality: `doing the right thing for the right reasons.'…
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas
Udari Madhushani, Kevin R. McKee, John P. Agapiou +6
In social psychology, Social Value Orientation (SVO) describes an individual's propensity to allocate resources between themself and others. In reinforcement learning, SVO has been…
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
Peter Sunehag, Alexander Sasha Vezhnevets, Edgar Duéñez-Guzmán +2
Many environments contain numerous available niches of variable value, each associated with a different local optimum in the space of behaviors (policy space). In such situations i…