THE EVOLUTION OF ARTIFICIAL INTELLIGENCE AGENTS: ARCHITECTURES, TRENDS, AND THE IMPACT OF AGENTIC AI
This article explores the development and evolution of artificial intelligence agents, from classical models to the emergence of agentic AI in 2025. It analyzes the transition from passive systems to autonomous entities capable of reasoning, planning, and executing complex tasks. The research is based on national and international scientific foundations, discussing architectures, practical applications, and ethical and governance challenges. The results indicate that agentic AI, driven by Large Language Models (LLMs), is redefining human-machine interaction and process automation, although it requires a careful approach to ethics and governance.
THE EVOLUTION OF ARTIFICIAL INTELLIGENCE AGENTS: ARCHITECTURES, TRENDS, AND THE IMPACT OF AGENTIC AI
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DOI: https://doi.org/10.22533/at.ed.82081626140112
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Palavras-chave: AI Agents; Agentive AI; Multiagent Systems; Autonomy; Generative Artificial Intelligence.
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Keywords: AI Agents; Agentive AI; Multiagent Systems; Autonomy; Generative Artificial Intelligence.
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Abstract:
This article explores the development and evolution of artificial intelligence agents, from classical models to the emergence of agentic AI in 2025. It analyzes the transition from passive systems to autonomous entities capable of reasoning, planning, and executing complex tasks. The research is based on national and international scientific foundations, discussing architectures, practical applications, and ethical and governance challenges. The results indicate that agentic AI, driven by Large Language Models (LLMs), is redefining human-machine interaction and process automation, although it requires a careful approach to ethics and governance.
- Henderson Matsuura Sanches
