Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
In a normative multi-agent system the behaviour of the constituting agents is regulated by means of social and organisational inspired concepts like norms and sanctions. This pape...
Lacramioara Astefanoaei, Frank S. de Boer, Mehdi D...
This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems. It aims to identify key concepts and applications...
Nicholas R. Jennings, Katia P. Sycara, Michael Woo...
In this paper, we propose a multi-agent approach for solving a class of optimization problems involving expensive resources, where monolithic local search schemes perform miserabl...
The volumes of data in information systems are growing drastically. The systems become increasingly complex in trying to handle heterogeneity of ubiquitous components, standards, ...
Sergiy Nikitin, Artem Katasonov, Vagan Y. Terziyan