@inproceedings{Bergmann2025EXARUnifiedExperienceGrounded,
  title = {{{EXAR}}: {{A Unified Experience-Grounded Agentic Reasoning Architecture}}},
  shorttitle = {{{EXAR}}},
  booktitle = {Case-{{Based Reasoning Research}} and {{Development}}},
  author = {Bergmann, Ralph and Brand, Florian and Lenz, Mirko and Malburg, Lukas},
  editor = {Bichindaritz, Isabelle and L{\'o}pez, Beatriz},
  year = {2025},
  series = {Lecture {{Notes}} in {{Computer Science}}},
  volume = {15662},
  pages = {3--17},
  publisher = {Springer Nature Switzerland},
  address = {Cham},
  doi = {10.1007/978-3-031-96559-3_1},
  abstract = {Current AI reasoning often relies on static pipelines (like the 4R cycle from Case-Based Reasoning (CBR) or standard Retrieval-Augmented 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.},
  isbn = {978-3-031-96559-3},
  langid = {english},
  url = {https://www.wi2.uni-trier.de/shared/publications/Bergmann2025EXARUnifiedExperienceGrounded.pdf}
}

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