Agentic definition AI

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Bartosz Roguski
Machine Learning Engineer
Published: July 8, 2025
Glossary Category

Agentic definition AI describes artificial intelligence systems characterized by autonomous agency, where systems independently perceive, decide, and act to achieve objectives without requiring continuous human oversight. The agentic definition emphasizes key capabilities including environmental sensing, goal formulation, strategic planning, decision execution, and adaptive learning from outcomes. These AI systems demonstrate agency through proactive behavior, initiating actions rather than merely responding to stimuli, and maintaining persistent objectives across time. Agentic AI exhibits reasoning capabilities for evaluating options, consequence prediction, and strategy modification based on environmental feedback. Core components include perception modules for environmental awareness, planning algorithms for action sequencing, decision-making frameworks for option evaluation, and learning mechanisms for performance improvement. Applications encompass autonomous vehicles, intelligent personal assistants, robotic process automation, and adaptive trading systems. The agentic definition distinguishes these systems from reactive AI through their capacity for independent operation, goal persistence, and strategic adaptation in complex, dynamic environments.

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Last updated: July 8, 2025