@inproceedings{Bergmann2025EXARUnifiedExperienceGrounded,
  title = {{EXAR: A Unified Experience-Grounded Agentic Reasoning Architecture}},
  booktitle = {{Case-Based Reasoning Research and Development - 33rd International Conference, {ICCBR} 2025, Biarritz, France, June 30 - July 3, 2025, Proceedings}},
  author = {Bergmann, Ralph and Brand, Florian and Lenz, Mirko and Malburg, Lukas},
  pages        = {3--17},
  volume       = {15662},
  editor = {Bichindaritz, Isabelle and Lopez, Beatriz},
  publisher    = {Springer.},
  doi          = {10.1007/978-3-031-96559-3\_1},
  year         = {2025},
  url = {https://www.wi2.uni-trier.de/shared/publications/2025_ICCBR_EXAR_BergmannEtAL.pdf},
  abstract = {Current AI reasoning often relies on static pipelines (like the 4R cycle from Case-Based Reasoning (CBR) or standard RetrievalAugmented Generation (RAG)) that limit adaptability. We argue it is time for a shift towards dynamic, experience-grounded agentic reasoning. This paper proposes EXAR, a new unified, experience-grounded architecture, conceptualizing reasoning not as a fixed sequence, but as a collaborative process orchestrated among specialized agents. EXAR integrates data and knowledge sources into a persistent Long-Term Memory utilized by diverse reasoning agents, which coordinate themselves via a Short-Term Memory. Governed by an Orchestrator and Meta Learner, EXAR enables flexible, context-aware reasoning strategies that adapt and improve over time, offering a blueprint for next-generation AI.}
}

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