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AJAN: An Engineering Framework for Semantic Web-Enabled Agents and Multi-Agent Systems

André Antakli; Akbar Kazimov; Daniel Spieldenner; Gloria Elena Jaramillo Rojas; Ingo Zinnikus; Matthias Klusch
In: Philippe Mathieu; Frank Dignum; Paulo Novais; Fernando De la Prieta (Hrsg.). Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. International Conference on Practical Applications of Intelligent Agents and Multiagents (PAAMS-2023), 21th, July 12-14, Guimarães, Portugal, Springer Nature, 2023.


The development of SemanticWeb-enabled intelligent agents and multi-agent systems still remains a challenge due to the fact that there are hardly any agent engineering frameworks available for this purpose. To address this problem, we present AJAN, a modular framework for the engineering of agents that builds on Semantic Web standards and Behavior Tree technology. AJAN provides a web service-based execution and modeling environment in addition to an RDF-based modeling language for deliberative agents where SPARQL-extended behavior trees are used as a scripting language to define their behavior. In addition, AJAN supports the modeling of multi-agent coordination protocols while its architecture, in general, can be extended with other functional modules as plugins, data models, and communication layers as appropriate and not restricted to the Semantic Web.