AI Agents: Unleashing the New Era of General Artificial Intelligence

Authors

  • Fabio Doisi

    International Affairs and Computer Science, University of St. Gallen, Switzerland

  • Javed Iqbel

    International Affairs and Computer Science, University of St. Gallen, Switzerland

Abstract

This paper explores the transformative role of AI agents in ushering in a new era of General Artificial Intelligence (AGI). Unlike traditional task-specific AI models, AI agents demonstrate autonomy, adaptability, and the ability to reason across diverse domains. We examine the core characteristics that distinguish AI agents, including goal-directed behavior, continuous learning, and decision-making in complex environments. The paper also discusses recent technological breakthroughs that enable the development of increasingly sophisticated agents, such as multimodal learning, reinforcement learning, and collaborative systems. By analyzing current challenges and future opportunities, we argue that AI agents are key to bridging the gap between narrow AI and AGI, potentially leading to more human-like cognitive capabilities and widespread societal impact.

Keywords:

AI Agents, General Artificial Intelligence (AGI), Autonomous Systems, Multimodal Learning, Reinforcement Learning

Downloads

How to Cite

Doisi, F., & Iqbel, J. (2025). AI Agents: Unleashing the New Era of General Artificial Intelligence. Real-World AI Systems, 1(1), 1–14. Retrieved from https://journals.bilpubgroup.com/index.php/rwas/article/view/9773

Issue

Article Type

Article