collaborators

6 papers

cs.AI2026

A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms

Davide Paglieri, Logan Cross, Tim Genewein +3

Multi-agent AI science ecosystems rely on agents possessing tools that allow them to communicate, coordinate, and build on each other's work. Yet this shared infrastructure can als…

cs.AI2026

Solipsistic Superintelligence is Unlikely to be Cooperative

Rakshit S Trivedi, Natasha Jaques, Logan Cross +2

AI's central challenge is shifting from capability to coexistence. The dominant paradigm in AI research focuses on developing powerful agents that treat the world as an exogenous a…

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…

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…