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.


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

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


Being developers of an agent framework, it is only natural that we feel attracted by the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), the largest and most influential conference in the area of agents and multi-agent systems.

This year, AAMAS was being held in Singapore and we had the honour to give a poster presentation, to show a demonstration, and to give a talk in the conference’s main track.

In our demo, we showed how JIAC was used to develop a personal stress management system, namely PESA, which operates on Android devices like mobile phones, and which is able to adapt stress-regulating actions to the individual preferences of the user.

In our poster presentation and in our talk, we gave an overview about what happens when concepts from agent research are directly used to implement real world applications. Admittedly, the topic is way to big, thus, we focused on the (theoretical) concepts that are used to select and to properly combine actions that agents should execute in order to achieve their intended goals. The aim of this talk was to identify general categories that occur when planning theory is used for real and to propose (practical) solutions for these problems. In doing so, we hope to trigger research that better adapts theoretical concepts to practical applications. Our paper Multi-Agent System in Practice: When Research Meets Reality can be found here.

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