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Reasoning Engine (AJAN)

Project
17028 MOSIM
Description
  • Domain-free multi-agent system web service for behavior modeling and execution of agents, based on SPARQL-BTs
  • AJAN is fully integrated into the MOSIM infrastructure and is used for dynamic execution of available MMUs based on redefined tasks of the High-Level Task Editor
  • Has a web editor for intuitive modeling of so-called MOSIM-breakdowns
  • It can be easily extended (with the AJAN-Plug-In System) with additional
  • AI methods like, Reinforcement Learning, Action Planning a.o.
Contact
André Antakli, DFKI - Open Source
Email
thomas.baer@daimler.com
Technical features

Input(s):

  • Behavior Models (SPARQL-BTs)
  • High-Level Tasks
  • MOSIM Framework endpoints, like Scene-Access

Main feature(s):

  • Execution of MMU instructions -- based on High-Level Tasks -- based on internal behavior models
  • Domain-free, can be used separately from MOSIM

Output(s):

  • MMU Instructions
  • MOSIM Service calls to get dynamic paths, to get avatar transformation a.o.

Provider:

Integration constraints
  • MOSIM context: MOSIM Framework, MMUs, High-Level Task Editor
  • General: HTTP + RDF
Targeted customer(s)
  • MOSIM users in general who want to run avatar tasks or model avatar behavior in detail or test MMU behavior
  • Expert users who are skilled in modeling agents and thus in implementing autonomous system behavior
  • Novices who have no prior knowledge of RDF and SPARQL but still want to model avatar behavior based on expert template
Conditions for reuse
  • AJAN-service: LGPL-2.1 License
  • AJAN-editor: MIT License
  • AJAN-MOSIM-Unity: MIT License
Confidentiality
Public
Publication date
18-06-2021
Involved partners
DFKI (DEU)