26 citations · 28 across the 9 of their papers we have counts for
10 papers
Visibility Design and Strategic Reasoning
Raman Ebrahimi, Sepehr Ilami, Babak Heydari +2
Dashboards, feeds, and leaderboards determine whom agents believe they are playing against. We study how such information architectures shape strategic behavior, and how a designer…
Cheap Talk Stabilizes Strategic Interaction in LLM Agents
Nunzio Lorè, Hongan Zhu, Babak Heydari
Large language models are increasingly deployed as interacting agents, making the persistence of their action policies across repeated interaction critical for reliable multi-agent…
Adaptive Complementarity in Human-AI Systems: Architecture as a State-Shaping Choice
Babak Heydari
Human-AI interaction can improve current performance while changing the capabilities and relationships on which future performance depends. We develop adaptive complementarity, a f…
Networked risk perception and behavioral bubbles: the case of a pandemic
Sepehr Ilami, Margherita Comola, Silvia Prina +1
Risk perception is typically modeled as an individual cognitive readout of objective hazard, yet during crises what people judge as risky is shaped by what their peers do. Using we…
The Architecture of Illusion: Network Opacity and Strategic Escalation
Raman Ebrahimi, Sepehr Ilami, Babak Heydari +2
Standard models of bounded rationality typically assume agents either possess accurate knowledge of the population's reasoning abilities (Cognitive Hierarchy) or hold dogmatic, deg…
Communication Enhances LLMs' Stability in Strategic Thinking
Nunzio Lore, Babak Heydari
Large Language Models (LLMs) often exhibit pronounced context-dependent variability that undermines predictable multi-agent behavior in tasks requiring strategic thinking. Focusing…
When Networks Substitute for Outcome Surveillance? A Substitution-Complementarity Framework for Behavioral Signals in Predictive Monitoring
Sepehr Ilami, Qingtao Cao, Babak Heydari
Monitoring systems increasingly fuse dynamic behavioral data with outcome-based surveillance, raising a basic question: when does behavioral data carry predictive information that…
Integrated Design and Governance of Agentic AI Systems through Adaptive Information Modulation
Qiliang Chen, Sepehr Ilami, Nunzio Lore +1
Modern engineered systems increasingly involve complex sociotechnical environments where multiple agents, including humans and the emerging paradigm of agentic AI powered by large…
Large Model Strategic Thinking, Small Model Efficiency: Transferring Theory of Mind in Large Language Models
Nunzio Lore, Sepehr Ilami, Babak Heydari
As the performance of larger, newer Large Language Models continues to improve for strategic Theory of Mind (ToM) tasks, the demand for these state-of-the-art models increases comm…
Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing
Nunzio Lorè, Babak Heydari
This paper investigates the strategic decision-making capabilities of three Large Language Models (LLMs): GPT-3.5, GPT-4, and LLaMa-2, within the framework of game theory. Utilizin…