Root Cause Analysis (RCA) and Risk Assessment (RA) to enable informed decision-making. However, the growing complexity, volume, and decentralized nature of manufacturing data creates significant challenges for effective data collection. Conventional programming paradigms and manual data collection scripts fail to maintain adaptability when data sources, formats, and ownership are distributed across systems. This research addresses these challenges by proposing the integration of Action-Oriented Programming (AcOP) with Automatic Agent Generation (AAG) as an innovative solution. AcOP focuses on actions as core execution units, providing clear definition of system behavior. The modularity of AcOP aligns with Edge AI principles by supporting localized, independent actions while ensuring coordination across distributed components. AAG leverages large language models (LLMs) to autonomously create intelligent agents that manage these actions and conduct preliminary data analysis using automatically assigned domain-specific knowledge. A microservice application for RCA and RA was developed in three implementations: Object-Oriented Programming (OOP), AcOP standalone, and AcOP with AAG integration. Results demonstrate that AcOP enhances modularity, adaptability, and error handling in decentralized environments. The integration of AAG further improves automation, reduces manual intervention, and enables more adaptive data collection, offering a flexible solution for autonomous microservice architectures.
", "funding": [ { "award": { "acronym": "EdgeAI", "id": "00k4n6c32::101097300", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/101097300", "scheme": "url" } ], "number": "101097300", "program": "HORIZON.2.4", "title": { "en": "Edge AI Technologies for Optimised Performance Embedded Processing" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "identifiers": [ { "identifier": "https://edge-ai-tech.eu/conference-program-2025/", "scheme": "url" } ], "publication_date": "2025-10-21", "publisher": "Zenodo", "resource_type": { "id": "presentation", "title": { "de": "Pr\u00e4sentation", "en": "Presentation" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "EdgeAI" }, { "subject": "Action-Oriented Programming" }, { "subject": "Automatic Agent Generation" }, { "subject": "Adaptive Data Collection" }, { "subject": "Decision Making" }, { "subject": "LLM" } ], "title": "Action-Oriented Programming and Automatic Agent Generation for Adaptive Data Collection in Decentralized Data Ecosystems" }, "parent": { "access": { "owned_by": { "user": "1264746" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "a68295e5-2232-4b58-bd21-5fc3fe854f08", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2023-05-16T07:44:52.525852+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "a68295e5-2232-4b58-bd21-5fc3fe854f08", "links": {}, "metadata": { "curation_policy": "At the moment, only EdgeAI project participants can upload content to this collection.
", "description": "EdgeAI is a key initiative for the European digital transition towards intelligent processing solutions at the edge. EdgeAI develops new electronic components and systems by combining microelectronics, AI, embedded systems, and edge computing.", "funding": [ { "award": { "id": "00k4n6c32::101097300" }, "funder": { "id": "00k4n6c32" } } ], "organizations": [ { "id": "01f677e56" } ], "page": "The project EdgeAI “Edge AI Technologies for Optimised Performance Embedded Processing” is supported by the Chips Joint Undertaking and its members including top-up funding by Austria, Belgium, France, Greece, Italy, Latvia, Netherlands, and Norway under grant agreement No 101097300.
\nEdgeAI is a key initiative for the European digital transition towards intelligent processing solutions at the edge. EdgeAI develops new electronic components and systems, processing architectures, connectivity, software, algorithms, and middleware through the combination of microelectronics, AI, embedded systems, and edge computing. It will demonstrate the applicability of the developed edge AI hardware/software/algorithms approaches across various vertical solutions, considering security, trust, and energy efficiency demands inherent in several use cases. The project covers key strategic application areas such as Digital Industry, Energy, Agri-food and Beverage, Mobility, and Digital Society.
\nThe EdgeAI vision is to contribute towards the creation of a resilient, resource efficient and sustainable society by bringing excellence and innovation to the development of advanced edge AI technologies and applications.
\nThe EdgeAI mission is to accelerate edge AI design, innovation, development, and deployment in Europe in different strategic industrial application areas, supporting the twin green and digital transitions.
", "title": "Edge AI Technologies for Optimised Performance Embedded Processing", "type": { "id": "project" }, "website": "https://edge-ai-tech.eu/" }, "parent": { "access": { "member_policy": "open", "members_visibility": "restricted", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": true }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
\nThe community is managed by CERN on behalf of the European Commission.
\nZenodo’s general policies and Terms of Use apply to all content.
\nThe EU Open Research Repository accepts all digital research objects which is a research output stemming from one of EU’s research and innovation funding programmes. The funding programmes currently include:
\nHorizon Europe (including ERC, MSCA), earlier Framework Programmes (eg Horizon 2020) as well as Euratom.
\nIn line with the principle as open as possible, as closed as necessary both public and restricted content is accepted. See note on how Zenodo handles restricted content.
\nEU programme beneficiaries are eligible to submit content to the community. The community supports three types of content submissions:
\nSubmission via an EU Project Community (through user interface or programmatic APIs).
\nSubmission directly to the EU Open Research Repository.
\nAutomated harvesting from existing Zenodo content.
\nA representative of an EU project may request an EU Project Community and invite other project participants as members of the community. The project community is linked to one or more European Commission grants. All records in the project community are automatically integrated into the EU Open Research Repository immediately upon acceptance into the project community.
\nAny user may submit a record directly to the EU Open Research Repository. The submission will be moderated by Zenodo staff for compliance with the minimal required metadata requirements and its correctness.
\nRecords found among Zenodo’s existing content will on a regular basis automatically be integrated if they are found to comply with the requirements. The submissions through this method are integrated into the EU Open Research Repository with delay in a fully automated way.
\nRecords in the EU Open Research Repository are required to comply with the following minimal metadata requirements:
\nVisibility: Both public and restricted (with or without embargo and/or access request)
\nResource types: All resource types.
\nLicenses: Public and embargoed records MUST specify a license. The chosen license SHOULD be compliant with the Horizon Europe open science requirements (see Open Science in Horizon Europe)
\nFunding information: Records MUST specify at least one grant from the European Commission.
\nCreators: Creators SHOULD be identified with a persistent identifier (e.g. ORCID, GND, …), and affiliations SHOULD be identified with a persistent identifier (e.g. ROR, ISNI, …)
\nSubjects: Records SHOULD specify one or more fields of science from the European Science Vocabulary.
\nThese metadata requirements comes from the related open science requirements in Horizon Europe which are detailed in each project's grant agreement.
\nAll submissions undergo automated curation checks for compliance with the policy. Submissions through project communities are in addition reviewed by the project community. Submission directly to the EU Open Research Repository is in addiotn reviewed by Zenodo staff.
\nCommunity curators may at any point edit metadata of the records in the community without notice through human or automated processing. The curators may at their sole discretion remove records from the community that are deemed not to comply with the content and curation policy or which are deemed of insufficient quality.
\nThe content and curation policy is subject to change by the community owner at any time and without notice, other than through updating this page.
", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom, and earlier Framework Programmes.", "funding": [ { "funder": { "id": "00k4n6c32" } } ], "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101256740 (HORIZON-ZEN Plus). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
", "title": "EU Open Research Repository", "type": { "id": "organization" }, "website": "https://research-and-innovation.ec.europa.eu" }, "revision_id": 24, "slug": "eu", "theme": { "brand": "horizon", "enabled": true, "style": { "font": { "family": "Arial, sans-serif", "size": "16px", "weight": 600 }, "mainHeaderBackgroundColor": "#FFFFFF", "primaryColor": "#004494", "primaryTextColor": "#FFFFFF", "secondaryColor": "#FFD617", "secondaryTextColor": "#000000", "tertiaryColor": "#e3eefd", "tertiaryTextColor": "#1c5694" } }, "updated": "2026-03-31T12:29:43.596724+00:00" }, "revision_id": 5, "slug": "edgeai_project", "updated": "2025-04-14T07:21:54.320033+00:00" }, { "access": { "member_policy": "open", "members_visibility": "restricted", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": true }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
\nThe community is managed by CERN on behalf of the European Commission.
\nZenodo’s general policies and Terms of Use apply to all content.
\nThe EU Open Research Repository accepts all digital research objects which is a research output stemming from one of EU’s research and innovation funding programmes. The funding programmes currently include:
\nHorizon Europe (including ERC, MSCA), earlier Framework Programmes (eg Horizon 2020) as well as Euratom.
\nIn line with the principle as open as possible, as closed as necessary both public and restricted content is accepted. See note on how Zenodo handles restricted content.
\nEU programme beneficiaries are eligible to submit content to the community. The community supports three types of content submissions:
\nSubmission via an EU Project Community (through user interface or programmatic APIs).
\nSubmission directly to the EU Open Research Repository.
\nAutomated harvesting from existing Zenodo content.
\nA representative of an EU project may request an EU Project Community and invite other project participants as members of the community. The project community is linked to one or more European Commission grants. All records in the project community are automatically integrated into the EU Open Research Repository immediately upon acceptance into the project community.
\nAny user may submit a record directly to the EU Open Research Repository. The submission will be moderated by Zenodo staff for compliance with the minimal required metadata requirements and its correctness.
\nRecords found among Zenodo’s existing content will on a regular basis automatically be integrated if they are found to comply with the requirements. The submissions through this method are integrated into the EU Open Research Repository with delay in a fully automated way.
\nRecords in the EU Open Research Repository are required to comply with the following minimal metadata requirements:
\nVisibility: Both public and restricted (with or without embargo and/or access request)
\nResource types: All resource types.
\nLicenses: Public and embargoed records MUST specify a license. The chosen license SHOULD be compliant with the Horizon Europe open science requirements (see Open Science in Horizon Europe)
\nFunding information: Records MUST specify at least one grant from the European Commission.
\nCreators: Creators SHOULD be identified with a persistent identifier (e.g. ORCID, GND, …), and affiliations SHOULD be identified with a persistent identifier (e.g. ROR, ISNI, …)
\nSubjects: Records SHOULD specify one or more fields of science from the European Science Vocabulary.
\nThese metadata requirements comes from the related open science requirements in Horizon Europe which are detailed in each project's grant agreement.
\nAll submissions undergo automated curation checks for compliance with the policy. Submissions through project communities are in addition reviewed by the project community. Submission directly to the EU Open Research Repository is in addiotn reviewed by Zenodo staff.
\nCommunity curators may at any point edit metadata of the records in the community without notice through human or automated processing. The curators may at their sole discretion remove records from the community that are deemed not to comply with the content and curation policy or which are deemed of insufficient quality.
\nThe content and curation policy is subject to change by the community owner at any time and without notice, other than through updating this page.
", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom, and earlier Framework Programmes.", "funding": [ { "funder": { "id": "00k4n6c32" } } ], "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101256740 (HORIZON-ZEN Plus). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
", "title": "EU Open Research Repository", "type": { "id": "organization" }, "website": "https://research-and-innovation.ec.europa.eu" }, "revision_id": 24, "slug": "eu", "theme": { "brand": "horizon", "enabled": true, "style": { "font": { "family": "Arial, sans-serif", "size": "16px", "weight": 600 }, "mainHeaderBackgroundColor": "#FFFFFF", "primaryColor": "#004494", "primaryTextColor": "#FFFFFF", "secondaryColor": "#FFD617", "secondaryTextColor": "#000000", "tertiaryColor": "#e3eefd", "tertiaryTextColor": "#1c5694" } }, "updated": "2026-03-31T12:29:43.596724+00:00" } ], "ids": [ "a68295e5-2232-4b58-bd21-5fc3fe854f08", "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c" ] }, "id": "20271211", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.20271211", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.20271212", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:20271212", "provider": "oai" } }, "revision_id": 4, "stats": { "all_versions": { "data_volume": 57139888.0, "downloads": 13, "unique_downloads": 12, "unique_views": 19, "views": 19 }, "this_version": { "data_volume": 57139888.0, "downloads": 13, "unique_downloads": 12, "unique_views": 19, "views": 19 } }, "status": "published", "swh": {}, "updated": "2026-05-19T06:41:21.541942+00:00", "versions": { "index": 1, "is_latest": true } }