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Vol. 1 No. 1 (2026)

This issue presents a collection of research that explores intelligence as an adaptive, interactive, and autonomous capability. The articles in this issue span generative environment modeling, trustworthy distributed systems, human-computer interaction, embodied robotics, optimization, and learning under dynamic conditions. Despite their diverse applications, these contributions are united by a common objective: developing systems that can perceive complex environments, make informed decisions, and collaborate effectively with humans and other agents. Together, they illustrate the growing convergence of artificial intelligence, autonomous systems, and agent-based computing in addressing real-world challenges.