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Posted: 2025-06-01 18:01:50 UTC
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-06-01 18:02:08 UTC
Verified By
Rollup News
This paper distinguishes between AI Agents and Agentic AI, providing a taxonomy, application mapping, and challenge analysis. AI Agents are single-entity systems for task-specific execution, while Agentic AI systems are multi-agent frameworks enabling collaborative behaviors. The paper formalizes the agent/agentic spectrum, offering guidance for researchers and developers to align architecture with task complexity.
Distinguishes AI Agents from Agentic AI.
Provides a taxonomy and design guidance.
Emphasizes aligning architecture with task complexity.
AI Agents: Lack of causal reasoning, hallucinations, shallow planning, limited memory.
Agentic AI: Error cascades, coordination issues, unpredictable behavior, high orchestration complexity.