Robotics is an emerging synthetic science concerned with programming work. Robot
technologies are quickly advancing beyond the insights of the existing science. More secure …

We propose a continuous-time multioption nonlinear generalization of classical linear
weighted-average opinion dynamics. Nonlinearity is introduced by saturating opinion …

We introduce and analyze a continuous time and state-space model of opinion cascades on
networks of large numbers of agents that form opinions about two or more options. By …

How does a group of agents break indecision when deciding about options with qualities
that are hard to distinguish? Biological and artificial multiagent systems, from honeybees …

We introduce a general model of continuous-time opinion dynamics for an arbitrary number
of agents that communicate over a network and form real-valued opinions about an arbitrary …

We study a nonlinear bounded-confidence model (BCM) of continuous-time opinion
dynamics on networks with both persuadable individuals and zealots. The model is …

In models of opinion dynamics, many parameters—either in the form of constants or in the
form of functions—play a critical role in describing, calibrating, and forecasting how opinions …

When communicating agents form opinions about a set of possible options, agreement and
disagreement are both possible outcomes. Depending on the context, either can be …

For a group of autonomous communicating agents to carry out coordinated objectives, it is
paramount that they can distinguish meaningful input from disturbance, and come rapidly …

Balanced colorings of networks classify robust synchrony patterns—those that are defined
by subspaces that are flow-invariant for all admissible ODEs. In symmetric networks, the …