Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework

• URL: http://arxiv.org/abs/2508.00844v1
• Date: Mon, 07 Jul 2025 14:05:30 GMT
• Title: Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework
• Authors: Christopher Wissuchek, Patrick Zschech,
• Abstract summary: This paper develops a typology of agentic AI systems, introducing eight dimensions that define their cognitive and environmental agency in an ordinal structure.<n>The framework enables researchers and practitioners to analyze varying levels of agency in AI systems.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Artificial intelligence (AI) systems are evolving beyond passive tools into autonomous agents capable of reasoning, adapting, and acting with minimal human intervention. Despite their growing presence, a structured framework is lacking to classify and compare these systems. This paper develops a typology of agentic AI systems, introducing eight dimensions that define their cognitive and environmental agency in an ordinal structure. Using a multi-phase methodological approach, we construct and refine this typology, which is then evaluated through a human-AI hybrid approach and further distilled into constructed types. The framework enables researchers and practitioners to analyze varying levels of agency in AI systems. By offering a structured perspective on the progression of AI capabilities, the typology provides a foundation for assessing current systems and anticipating future developments in agentic AI.

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