A Global Platform for the Next Generation of Intelligent Systems
AI Agent is an international, peer-reviewed, open access journal dedicated to publishing cutting-edge research across all domains empowered by artificial intelligence (AI), data science, machine learning (ML), and large language models (LLMs). The journal aims to serve as a central hub for pioneering studies that develop, apply, or critically assess intelligent agents—broadly defined as AI-driven systems capable of perception, reasoning, learning, and action—across scientific, industrial, and societal domains.
Our mission is to bridge deep AI technologies with real-world deployments, empowering driving breakthroughs in science, industry, and society through intelligent systems, agent architectures, and data-driven platforms.
What We Publish
We welcome original research articles, review articles, perspectives, commentaries, technology reports, system papers, case studies, and software/database notes in (but not limited to) the following areas:
1. Foundation Models and Intelligent Agents
- • Large language models (LLMs), vision-language models, multimodal agents, etc.
- • Autonomous decision making, tool-using agents, memory-augmented systems, etc.
- • Agent-based orchestration frameworks and automated AI workflows, etc.
2. Vertical Applications Across Industries
- • Science & Materials: AI in automated labs, simulation agents, digital twins for discovery, etc.
- • Energy & Climate: AI for sustainability, smart grid management, carbon reduction, etc.
- • Healthcare & Biotech: Intelligent diagnosis, drug discovery, medical agents, etc.
- • Finance & Business: Trading agents, market modeling, enterprise automation, etc.
- • Manufacturing & Robotics: Real-world agents in smart factories, logistics, robotics, etc.
- • Media & AIGC: Generative content, virtual agents, AI in film, art, and game design, etc.
3. AI Infrastructure, Databases, and Software Systems
- • AI-related software tools, open-source platforms, and intelligent agent frameworks, etc.
- • Scientific and industrial databases: creation, curation, application, and integration into AI workflows, etc.
- • Multi-agent environments, simulation platforms, benchmarking systems, etc.
- • Distributed training, model deployment, scalable inference architectures, etc.
4. Trustworthy, Human-Centered, and Responsible AI
- • Explainability, safety, and alignment in AI agents, etc.
- • Human–AI collaboration, interaction design, digital labor, etc.
- • Ethical and legal considerations in real-world AI deployment, etc.
AI Agent is a home for innovators, researchers, engineers, and founders who are building the intelligent infrastructure of tomorrow—from foundational models to domain-specific agents, and from platform engineering to paradigm-shifting applications.
