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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Showing 2026Show all

5 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.NE2026

A Theory of Appropriateness That Accounts for Norms of Rationality

Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz +10

We propose a society-first theory of normative appropriateness where individuals, modeled as pre-trained actors with cognitive architectures analogous to Large Language Models (LLM…

cs.MA2026

A Generative Model of Conspicuous Consumption and Status Signaling

Logan Cross, Jordi Grau-Moya, William A. Cunningham +2

Status signaling drives human behavior and the allocation of scarce resources such as mating opportunities, yet the generative mechanisms governing how specific goods, signals, or…

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…