activity
20232026
most citedGenerative agent-based modeling with actions grounded in physical, social, or digital space using Concordia

13 citations · 15 across the 11 of their papers we have counts for

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9 papers · 1 filter

cs.AI2026

Analysis of Optimality of Large Language Models on Planning Problems

Bernd Bohnet, Michael C. Mozer, Kevin Swersky +4

Classic AI planning problems have been revisited in the Large Language Model (LLM) era, with a focus of recent benchmarks on success rates rather than plan efficiency. We examine t…

cs.AI2026

Stabilising Generative Models of Attitude Change

Jayd Matyas, William A. Cunningham, Alexander Sasha Vezhnevets +3

Attitude change - the process by which individuals revise their evaluative stances - has been explained by a set of influential but competing verbal theories. These accounts often…

cs.AI2026

Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts

Davide Paglieri, Logan Cross, William A. Cunningham +2

Evaluating AI systems that interact with humans requires understanding their behavior across diverse user populations, but collecting representative human data is often expensive o…

cs.AI2025★ 1 cited

A Pragmatic View of AI Personhood

Joel Z. Leibo, Alexander Sasha Vezhnevets, William A. Cunningham +1

The emergence of agentic Artificial Intelligence (AI) is set to trigger a "Cambrian explosion" of new kinds of personhood. This paper proposes a pragmatic framework for navigating…

cs.AI2025

Virtual Agent Economies

Nenad Tomasev, Matija Franklin, Joel Z. Leibo +4

The rapid adoption of autonomous AI agents is giving rise to a new economic layer where agents transact and coordinate at scales and speeds beyond direct human oversight. We propos…

cs.AI2025

Multi-Actor Generative Artificial Intelligence as a Game Engine

Alexander Sasha Vezhnevets, Jayd Matyas, Logan Cross +6

Generative AI can be used in multi-actor environments with purposes ranging from social science modeling to interactive narrative and AI evaluation. Supporting this diversity of us…

cs.AI2025

Societal and technological progress as sewing an ever-growing, ever-changing, patchy, and polychrome quilt

Joel Z. Leibo, Alexander Sasha Vezhnevets, William A. Cunningham +3

Artificial Intelligence (AI) systems are increasingly placed in positions where their decisions have real consequences, e.g., moderating online spaces, conducting research, and adv…

cs.AI2024★ 1 cited

A theory of appropriateness with applications to generative artificial intelligence

Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz +11

What is appropriateness? Humans navigate a multi-scale mosaic of interlocking notions of what is appropriate for different situations. We act one way with our friends, another with…

cs.AI2023★ 13 cited

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…