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Toward Self-Modifying Autonomous Business Process Systems

  • Achiya Elyasaf
  • , Andreas Metzger
  • , Sebastian Sardina
  • , Arik Senderovich
  • , Estefanía Serral Asensio
  • , Niek Tax

    Research output: Contribution to journalConference articlepeer-review

    1 Scopus citations

    Abstract

    Autonomous business process systems (ABPS) operate with minimal human intervention while modifying themselves over time. Being ‘self-modifying’ thereby becomes an intrinsic characteristic that enables a process to become autonomous. In this paper, we define what it means to be self-modifying in autonomous business process systems (ABPS) and outline key characteristics of such capability, including (1) the differentiation between two types of modifications, namely adaptation and evolution, (2) the levels of granularity in which a modification can be carried out, and (3) the reasons why a possible modification may be triggered. After presenting a motivating example, we characterize the goals for advancing self-modifying capabilities in ABPSs, and identify open research challenges, particularly around governance, uncertainty, and continuous learning. This work aims to structure the problem space of self-modification in ABPSs and provide a conceptual foundation for future research and development.

    Original languageEnglish
    JournalCEUR Workshop Proceedings
    Volume4087
    StatePublished - 1 Jan 2025
    Event4th International Workshop on Process Management in the AI Era, PMAI 2025 2025 -co-located with the 28th European Conference on Artificial Intelligence, ECAI 2025 - Bologna, Italy
    Duration: 25 Oct 202525 Oct 2025

    Keywords

    • Adaptation
    • Autonomous Business Process Systems (ABPS)
    • Evolution
    • Self-Modifying Processes

    ASJC Scopus subject areas

    • General Computer Science

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