Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)

By Fabio Luigi Bellifemine, Giovanni Caire, Dominic P. A. Greenwood. 2007

660 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5f2136a985caf960d4d78a0964696d483352f1b3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sergey I. Nikolenko
2. Giovanni Caire
3. Fabio Luigi Bellifemine
4. Agostino Poggi
5. Giovanni Rimassa
6. Mehdi M. Dastani
7. Lei Li
8. Emilio Ancillotti

Citations in the corpus

• JADE: A software framework for developing multi-agent applications. Lessons learned (2008, background): “One of these products is JADE ([1] [2] [18]), a software framework to facilitate the development of interoperable intelligent multi-agent systems that is used by a heterogeneous community of users as a tool for both supporting research activities and building real applications.”
• Synthetic Data for Deep Learning (2019, methodology): “While AirSim and Gazebo have been the most successful simulation frame- works, we also note other frameworks for multi-agent simulation that have been used for autonomous vehicles, usually without a realistic 3D rendered environment (see also a comparison of the frameworks in [420] and of their perc”