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.
Ownership
The journal is owned by OAE Publishing Inc.
Publishing Model
Gold Open Access. All articles published by AI Agent are made freely and permanently accessible online immediately from the date of publication. For further information, please refer to Open Access.
Copyright and License to Publish
Articles in AI Agent are published under a Creative Commons Attribution 4.0 International (CC BY 4.0). The CC BY 4.0 allows for maximum dissemination and re-use of open access materials and is preferred by many research funding bodies. Under this license users are free to share (copy, distribute and transmit) and remix (adapt) the contribution for any purposes, even commercially, provided that the users appropriately acknowledge the original authors and the source.
Copyright is retained by authors. Authors are required to sign a License to Publish (which can be downloaded from the journal's Author Instructions), granting AI Agent, which identifies itself as the original publisher, exclusive rights to publish their articles, and granting any third party the right to use the articles freely as long as the integrity is maintained and the original authors, citation details and publisher are identified.
Editorial Board
For more information about the editorial team, please refer to Editorial Board.
Editorial Policies
All manuscripts submitted to AI Agent should adhere to journal's Editorial Policies.
Peer Review
The journal adheres to rigorous peer review and undergoes single-blind peer review. For more details, please refer to Editorial Process and Peer Review Guidelines.
Publication Ethics Statement
AI Agent fully adheres to the Code of Conduct and the Best Practice Guidelines of Committee on Publication Ethics (COPE).
The Editors of this journal enforce a rigorous peer-review process together with strict ethical policies and standards to guarantee to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, image manipulation, inappropriate authorship credit, and the like, do arise. The Editors of AI Agent take such publishing ethics issues very seriously and are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use CrossCheck (powered by iThenticate) to check submissions against previous publications.
Journal Information and Statistics
- Publication model: Gold Open Access
- Frequency: Quarterly
- DOI: 10.20517/AI Agent
- Digital archive: Portico
Contact
Please visit Contact Us for details about different queries.
