Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for …

Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual …

This chapter presents the currently not established and identifies design requirements for new systems to address this challenge and provide directions for possible improvement. As a result, this chapter introduces the concept of SamenMarkt®, a participatory system in which multi-agent system technology …

INTRALOG is a project, to better use of materials, there by leading to improvements for People (better safety, lower physical work load), Planet (lower emissions and energy/ fuel con started September 2015, in which Automated Guided Truck Applications will be developed. Automated systems typically perform …

Author supplied: Abstract—The growing importance and impact of new technologies are changing many industries. This effect is especially noticeable in the manufacturing industry. This paper explores a practical implementation of a hybrid architecture for the newest generation of manufacturing systems. …

Athor supplied : "This paper describes an agent-based architecture for domotics. This architecture is based on requirements about expandability and hardware independence. The heart of the system is a multi-agent system. This system is distributed over several platforms to open the possibility to tie …

Author supplied: The production system described in this paper in an implementation of an agile agent-based production system. This system is designed to meet the requirements of modern production, where short time to market, requirementdriven production and low cost small quantity production are important …

This paper describes an agent-based software infrastructure for agile industrial production. This production is done on special devices called equiplets. A grid of these equiplets connected by a fast network is capable of producing a variety of different products in parallel. The multi-agent-based underlying …

This article presents the results of experiments performed with agents based on an operalization of an information-theoretic model for trust. Experiments have been performed with the ART test-bed, a test domain for trust and reputation aiming to provide transparent and recognizable standards. An agent …