Abstract-- It is desirable to limit the amount of communication and computation generated by each agent in a large multi-agent system. Event- and self-triggered control strategies ...
Dimos V. Dimarogonas, Emilio Frazzoli, Karl Henrik...
Interactions within Multi-agent systems can be structured in different ways depending on the application scenario and its environmental restrictions. In previous work we have devel...
Multi-agent systems where the agents are developed by parties with competing interests, and where there is no access to an agent's internal state, are often classified as `ope...
Abstract--This article deals with the issue of concept learning and tries to have a game theoretic view over the process of cooperative concept learning among agents in a multi-age...
Emergence is a key element in the research of multi-agent systems. Emergent properties provide higher level features to a system formed of simpler individuals. So far, emergence ha...
Abstract. Distributed cooperative applications (e.g., e-commerce) are now increasingly being designed as a set of autonomous entities, named agents, which interact and coordinate (...
We present an algorithm based on temporal-epistemic model checking combined with fault injection to analyse automatically the diagnosability of faults by agents in the system. We d...
Designing realistic multi-agent systems is a complex process, which involves specifying not only the functionality of individual agents, but also the authority relationships and l...
Anthony Karageorgos, Simon G. Thompson, Nikolay Me...
Optimization of performance in collective systems often requires altruism. The emergence and stabilization of altruistic behaviors are dicult to achieve because the agents incur ...