This paper presents a class of multi-agent systems where the state of each agent is driven by its own local protocol, and by exogenous time-varying input signal. These inputs may r...
We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
This article summarises five relevant methods for developing self-organising multi-agent systems. It identifies their most promising aspects and provides a description of each o...
Mariachiara Puviani, Giovanna Di Marzo Serugendo, ...