6 papers
Robustness and Centrality in Markov-switching Networks
Sarah H. Cen, Vaibhav Srivastava, Naomi Ehrich Leonard
We investigate how time-varying interactions, modeled via a Markov switching graph (MSG), impact the robustness of noisy multi-agent dynamics in both continuous- and discrete-time…
Neuromorphic Realization of Best Response in Finite-Action Games
Himani Sinhmar, Vaibhav Srivastava, Naomi Ehrich Leonard
We develop a mechanistic dynamical-systems formulation of best response in finite-action games with relational structure on the action set. The proposed neuromorphic decision dynam…
Messaging strategies and the emergence of echo chambers in collective decision-making
Ling-Wei Kong, Naomi Ehrich Leonard, Andrew M. Hein
Collective decision-making arises from individual agents integrating their own personal observations with information obtained from social partners. In many biological systems that…
A Continuous-Time and State-Space Relaxation of the Linear Threshold Model with Nonlinear Opinion Dynamics
Ian Xul Belaustegui, Himani Sinhmar, Ling-Wei Kong +2
The Linear Threshold Model (LTM) is widely used to study the propagation of collective behaviors as complex contagions. However, its dependence on discrete states and timesteps res…
A Framework for Exploring Social Interactions in Multiagent Decision-Making for Two-Queue Systems
Mallory E. Gaspard, Naomi Ehrich Leonard
We introduce a new framework for multiagent decision-making in queueing systems that leverages the agility and robustness of nonlinear opinion dynamics to break indecision during q…
Behavior-Inspired Neural Networks for Relational Inference
Yulong Yang, Bowen Feng, Keqin Wang +3
From pedestrians to Kuramoto oscillators, interactions between agents govern how dynamical systems evolve in space and time. Discovering how these agents relate to each other has t…