Consider a community of agents, all performing a predefined task, but with different abilities.
Each agent may be interested in knowing how well it performs in comparison with her peers …

Consider a multi-agent system where agents perform a given task with different levels of
ability. Agents are initially not aware of how well they perform in comparison with their peers …

Most distributed sensing methods assume that the expected value of sensed information is
same for all agents-ignoring differences in sensor capabilities due to, for example …

We consider a collaborative estimation problem using dependent observations in a wireless
sensor network, where each sensor aims to maximize its estimation performance in terms of …

In this paper, we consider a network scenario in which agents can evaluate each other
according to a score graph that models some physical or social interaction. The goal is to …

In many scenarios of interest, agents may only have access to partial information about an
unknown model or target vector. Each agent may be sensing only a subset of the entries of a …

This paper presents a new approach to shared control. It consists of combining orders from a
mobile and a human. The weight of these orders is obtained by evaluating their …

We address the problem of global sensor fusion for the purpose of distributed decision-
making, from a control-theoretic perspective. In particular, we introduce a quasi-linear …

Distributed networks comprising decision-making units of variable competence are used to
perform a sequence of tasks. Estimation of the local competences based solely on …

Sensor systems need to be more adaptive to perform well in dynamically changing
environments. Common awareness in sensor systems enables distributed agents to perform …