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        <datestamp>2026-02-09T12:33:41Z</datestamp>
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          <dc:title>AUTOBIZ: Pushing the Boundaries of AI-Driven Process Execution and Adaptation (Dagstuhl Seminar 25192)</dc:title>
          <dc:creator>De Giacomo, Giuseppe</dc:creator>
          <dc:creator>Dumas, Marlon</dc:creator>
          <dc:creator>Fournier, Fabiana</dc:creator>
          <dc:creator>Kampik, Timotheus</dc:creator>
          <dc:creator>Limonad, Lior</dc:creator>
          <dc:subject>AutoBiz</dc:subject>
          <dc:subject>Artificial Intelligence</dc:subject>
          <dc:subject>Business Process Management</dc:subject>
          <dc:subject>Autonomous Business Processes</dc:subject>
          <dc:subject>Dagstuhl Seminar</dc:subject>
          <dc:description>Advances in AI are enabling the shift toward Autonomous Business Processes (ABPs), where systems not only suggest actions but also take proactive steps within defined constraints. This concept was introduced in the AI-Augmented Business Process Management Systems (ABPMSs) manifesto, which outlines their lifecycle, features, and research challenges. The "AutoBiz" 25192 Dagstuhl Seminar brought together experts from AI and BPM to collaborate on advancing this vision. The seminar’s main goal was to define a research agenda for the realization of ABP systems.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Giuseppe De Giacomo and Marlon Dumas and Fabiana Fournier and Timotheus Kampik and Lior Limonad</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 15, Issue 5 (2025)</dc:relation>
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          <dc:language>eng</dc:language>
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