collaborators

7 papers

cs.AI2026

Hidden Coalitions in Multi-Agent AI: A Spectral Diagnostic from Internal Representations

Cameron Berg, Susan L. Schneider, Mark M. Bailey

Collections of interacting AI agents can form coalitions, creating emergent group-level organization that is critical for AI safety and alignment. However, observing agent behavior…

physics.soc-ph2026

Targeted Disruption of Hypernetworks via Spectral Partitioning

Mark M. Bailey, Matthew J. Hasenjager, Nina H. Fefferman

We study hyperedge-removal strategies for suppressing contagion on synthetic hypergraphs. Hypergraphs are generated from Erdős--Rényi, Barabási--Albert, and Watts--Strogatz seed…

physics.soc-ph2026

Topology as a Language for Emergent Organization in Complex Systems: Multiscale Structure, Higher-Order Interactions, and Early Warning Signals

Mark M. Bailey

Complex systems are difficult to study not only because they are nonlinear, multiscale, and often nonstationary, but because their scientifically relevant organization is often inv…

cs.LG2026

Quotient Geometry and Persistence-Stable Metrics for Swarm Configurations

Mark M. Bailey

Swarm and constellation reconfiguration can be viewed as motion of an unordered point configuration in an ambient space. Here, we provide persistence-stable, symmetry-invariant geo…

cs.MA2026

CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty

Rishav Sen, Fangqi Liu, Jose Paolo Talusan +5

The growth of Electric Vehicles (EVs) creates a conflict in vehicle-to-building (V2B) settings between building operators, who face high energy costs from uncoordinated charging, a…

cs.SI2025

Detecting Narrative Shifts through Persistent Structures: A Topological Analysis of Media Discourse

Mark M. Bailey, Mark I. Heiligman

How can we detect when global events fundamentally reshape public discourse? This study introduces a topological framework for identifying structural change in media narratives usi…