Frameworks


Multi-agent architecture and framework that eases the development and the operation of large-scale, distributed applications and services.


Lightweight multi-agent architecture and framework that simplifies the development of applications for different kind of devices.

Tools


Intuitive and extensible monitor for controlling distributed multi-agent infrastructures at runtime.


Well-equipped BPMN editor, powerful multi-language transformation and workflow simulator.

Distributed Optimization of Energy Costs in Manufacturing using Multi-Agent System Technology

The paper: "Distributed Optimization of Energy Costs in Manufacturing using Multi-Agent System Technology" was awarded the Best Paper Award at the 2nd International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. The selection was done based on the original submission, the camera-ready version and the presentation during the conference. The authors were further […]

Reconsider Your Strategy – An Agent-Based Conceptualisation of Compensatory Driver Behaviour

The paper: "Reconsider Your Strategy – An Agent-Based Conceptualisation of Compensatory Driver Behaviour" was accepted for oral presentation at the 15th Intelligent Transportation Systems Conference. The paper presents a novel approach to conceptualise compensatory driver behaviour for traffic simulations. Compensatory driver behaviour can be considered as the ability of human drivers to adapt their strategic […]

Costs and Gains of Smart Charging Electric Vehicles to Provide Regulation Services

The journal article: “Costs and Gains of Smart Charging Electric Vehicles to Provide Regulation Services” was accepted for publication in the Procedia Computer Science Journal (Volume 10). The article discusses the applicability of electric vehicles as energy buffers for regulation services.

Authors: Daniel Freund, Marco Lützenberger, and Sahin Albayrak

Abstract: With increasing liberalization in the […]

Agents Cut Emissions: On how a Multi-Agent System contributes to a more Sustainable Energy Consumption

The journal article: “Agents Cut Emissions: On how a Multi-Agent System contributes to a more Sustainable Energy Consumption” was accepted for publication in the Procedia Computer Science Journal (Volume 10). The article presents a distributed multi-agent system, which was deployed on electric vehicles, charging infrastructure facilities and several back-end servers in order to shift charging […]