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    "tag:aim-pro.eu,2026:oer/2218a6e17160",
    "https://zenodo.org/records/15475951",
    "doi:10.5281/zenodo.15475951",
    "zenodo-record:15475951"
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  "dcterms:title": [
    "AGENTIC AI: THE POWER OF GENAI AND LLMS IN AUTONOMOUS SYSTEMS"
  ],
  "dcterms:type": [
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    "Journal article"
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  "dcterms:creator": [
    "Sibin, Thomas"
  ],
  "dcterms:description": [
    "This paper looks at how Artificial Intelligence is changing, with a focus on the main difference between Traditional AI and Agentic AI. Agentic AI, on the other hand, acts on its own, has clear goals, and changes based on its surroundings. Traditional AI, on the other hand, is task-specific and has a narrow focus. We look at how rule-based systems evolved into the complex machine learning and deep learning techniques that make Agentic AI possible. We also look at the typical software design of Agentic AI systems, focusing on how Generative AI and Large Language Models (LLMs) are combined to improve the systems' ability to perceive, reason, and act. This paper shows how Agentic AI could change things and what that means for the future of AI study and applications by using real-life examples and talking about important ideas for development"
  ],
  "dcterms:subject": [
    "Agentic AI",
    "Traditional AI",
    "Autonomous AI",
    "Goal-Oriented AI",
    "AI Architecture",
    "Generative AI",
    "Large Language Models (LLMs)",
    "AI Evolution",
    "AI Safety",
    "AI Ethics"
  ],
  "dcterms:language": [
    "en"
  ],
  "dcterms:license": [
    {
      "@id": "https://creativecommons.org/licenses/by/4.0/"
    }
  ],
  "dcterms:rights": [
    "CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive"
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    "open"
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  "dcterms:format": [
    "application/pdf",
    "text/markdown"
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  "dcterms:extent": [
    "219161 bytes (original)",
    "26922 bytes (extracted text)"
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  "dcterms:issued": [
    "2024"
  ],
  "dcterms:modified": [
    "2025-05-20"
  ],
  "dcterms:created": [
    "2025-05-20"
  ],
  "dcterms:bibliographicCitation": [
    "International Journal of Core Engineering & Management, vol. 7(12)"
  ],
  "dcterms:isVersionOf": [
    {
      "@id": "https://doi.org/10.5281/zenodo.15475950"
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  "dcterms:provenance": [
    "Retrieved from Zenodo on 2026-10-09 in response to the search string “(\"artificial intelligence\" OR \"machine learning\" OR \"generative AI\" OR \"deep learning\" OR \"reinforcement learning\" OR \"large language model\" OR \"AI\") AND (\"AI concepts\" OR \"types of AI\" OR \"AI fundamentals\" OR \"recognizing AI\" OR \"recognising AI\" OR \"general versus narrow AI\" OR \"narrow AI\" OR \"general AI\" OR \"machine intelligence\" OR \"AI strengths and weaknesses\" OR \"traditional software\" OR \"rule-based systems\" OR \"introduction to AI\" OR \"introduction to artificial intelligence\" OR \"artificial intelligence introduction\" OR \"AI primer\" OR \"foundations of artificial intelligence\" OR \"overview of AI\" OR \"understanding AI\" OR \"history of AI\" OR \"AI essentials\" OR \"AI terminology\" OR \"metaphors for AI\" OR \"AI fundamental concepts\" OR \"AI key concepts\" OR \"philosophy of AI\" OR \"critical AI literacy\")”. Zenodo served the resource and is not asserted to be its publisher or author.",
    "Text extracted from pdf to Markdown by pdf-inspector; the original is retained unchanged beside it."
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}