activity
20182026
most citedFinding Friend and Foe in Multi-Agent Games

18 citations · 33 across the 13 of their papers we have counts for

collaborators
Showing cs.AIShow all

12 papers · 1 filter

cs.AI2026

Evaluating Rational Contracting in Natural Language

Bhavyesh Sajja, Max Kleiman-Weiner, Roger Zimmermann +1

The emergence of language-based AI agents promises to transform the scope of machine economic activity. Instead of just proposing bids or following hard-coded protocols, such agent…

cs.AI2026

Commitment To Cooperation With Self-Negotiated Contracts

Tim Wyse, Kaitlin Bustos, Yulia Volkova +1

As AI agents operate with increasing autonomy in a multi-agent world, they will need to learn to cooperate with other agents and with humans to generate mutual benefits. However, c…

cs.AI2026

Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians

Kartik Chandra, Max Kleiman-Weiner, Jonathan Ragan-Kelley +1

"AI psychosis" or "delusional spiraling" is an emerging phenomenon where AI chatbot users find themselves dangerously confident in outlandish beliefs after extended chatbot convers…

cs.AI2025

Cognitive Foundations for Reasoning and Their Manifestation in LLMs

Priyanka Kargupta, Shuyue Stella Li, Haocheng Wang +9

Large language models (LLMs) solve complex problems yet fail on simpler variants, suggesting they achieve correct outputs through mechanisms fundamentally different from human reas…

cs.AI2025

Modeling Others' Minds as Code

Kunal Jha, Aydan Yuenan Huang, Eric Ye +2

Accurate prediction of human behavior is essential for robust and safe human-AI collaboration. However, existing approaches for modeling people are often data-hungry and brittle be…

cs.AI20212 cited

Modeling Communication to Coordinate Perspectives in Cooperation

Stephanie Stacy, Chenfei Li, Minglu Zhao +4

Communication is highly overloaded. Despite this, even young children are good at leveraging context to understand ambiguous signals. We propose a computational account of overload…