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 …

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 …

Effective coordination of agents actions in partially-observable domains is a major challenge
of multi-agent systems research. To address this, many researchers have developed …

Effective coordination of agents' actions in partially-observable domains is a major
challenge of multi-agent systems research. To address this, many researchers have …

This paper presents the main results obtained in the Agencies for PErception in
environmental monitoring (APE) Project, funded by the Italian Ministry of University and …

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 …

In this article, we propose a distributed negotiation framework that allows a set of
cooperative agents to find a common ground with their neighbors while attempting to modify …

Distributed estimation that recruits potentially large groups of humans to collect data about a
phenomenon of interest has emerged as a paradigm applicable to a broad range of …

Agents in dynamic multi-agent environments must monitor their peers to execute individual
and group plans. A key open question is how much monitoring of other agents' states is …

In this paper we present three scalable, fully distributed, threshold-based algorithms for
allocating autonomous embodied workers to a given task whose demand evolves …