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About the Journal

Building robust, trustworthy, and autonomous artificial intelligence systems requires an integrated approach that recognizes the close interdependence between AI models, intelligent agents, computational infrastructure, human oversight, and real-world deployment environments. Advances in artificial intelligence, deep learning, generative AI, large language models, foundation models, and agentic systems increasingly influence scientific discovery, industrial innovation, governance, and societal transformation, making it essential to address not only performance and autonomy but also safety, transparency, reliability, and long-term sustainability. This includes developing intelligent systems that can reason, learn, collaborate, and adapt under dynamic conditions while remaining aligned with human values, operational requirements, and ethical principles.

Achieving meaningful progress in artificial intelligence and autonomous systems demands attention to foundational challenges such as model robustness, explainability, alignment, computational efficiency, scalability, and responsible deployment. Equally important are broader structural considerations, including access to computational resources, AI governance, safety evaluation, skills development, regulatory frameworks, and the societal implications of increasingly capable intelligent systems. Addressing these challenges requires collaboration across disciplines, combining theoretical advances with applied research, empirical validation, and real-world implementation.

The International Journal of Artificial Intelligence and Agent Systems (IJAIAS) provides a dedicated scholarly platform to advance these objectives. With a multidisciplinary focus, the journal brings together perspectives from artificial intelligence, deep learning, generative AI, foundation models, large language models, natural language processing, computer vision, reinforcement learning, agentic systems, multi-agent systems, autonomous systems, and trustworthy AI to deepen understanding of how intelligent and autonomous technologies can be designed, evaluated, governed, and deployed responsibly. IJAIAS supports research that bridges foundational innovation and practical implementation, encouraging contributions that demonstrate both scientific rigor and real-world impact.

IJAIAS is committed to openness, accessibility, and inclusivity. The journal operates as a fully open-access publication, ensuring that all published research is freely and permanently available to readers worldwide. By prioritizing sustainable and equitable publishing models, IJAIAS aims to facilitate the broad dissemination of knowledge and foster global participation in research on artificial intelligence, intelligent agents, and autonomous systems.

Through its editorial standards and publishing practices, IJAIAS actively promotes reproducibility, transparency, ethical responsibility, and rigorous peer review. The journal also seeks to contribute to broader global priorities by supporting research aligned with responsible AI development, digital transformation, human-centered innovation, AI safety, and trustworthy autonomous systems, recognizing the increasingly significant role that artificial intelligence and agent-based technologies play in shaping resilient, sustainable, and equitable futures.

Publisher: Who Supports This Journal?

The International Journal of Artificial Intelligence and Agent Systems (IJAIAS) is published and supported by Femington, an independent academic publishing organization committed to advancing open, ethical, and high-quality scholarly communication.

Femington ensures that IJAIAS operates on transparent, community-driven, and sustainable publishing principles. This open-source backend enables efficient manuscript management, rigorous peer review, and long-term digital preservation, while reinforcing the journal’s commitment to accessibility and academic integrity. The publishing model allows IJAIAS to prioritize editorial independence, research quality, and global knowledge dissemination rather than commercial publishing constraints.

IJAIAS aims to make academic research available:

  • Online

  • Immediately upon publication

  • Free from most copyright or licensing restrictions

Accepted Types of Articles

The International Journal of Artificial Intelligence and Agent Systems (IJAIAS) considers the following categories of scholarly contributions for publication:

  • Original Research / Research Articles

  • Review Articles

  • Case Studies

  • Research Notes

  • Editorials (by invitation or prior approval)

For detailed formatting requirements and the exact structure, authors are required to use the official journal manuscript template available below.

  • Manuscript Template (PDF) – for formatting guidance and Word-based manuscript preparation

  • LaTeX Template (ZIP) – includes complete LaTeX source files for manuscript preparation

Original Research / Research Articles

Original Research Articles report substantial and novel contributions to the field and are considered primary literature. These manuscripts should present original theoretical developments, methodological innovations, algorithmic advances, empirical analyses, or system-level implementations related to artificial intelligence, agentic systems, and autonomous technologies.

Submissions are expected to include clearly defined sections such as Introduction, Related Work, Methodology, Experiments or Evaluation, Results, and Discussion, along with a concluding section outlining implications and limitations. Articles are typically 6,000–8,000 words in length (excluding references). The research must demonstrate clear relevance to artificial intelligence, machine learning, deep learning, generative AI, foundation models, large language models, natural language processing, computer vision, reinforcement learning, agentic systems, or autonomous systems, with appropriate technical depth and rigor.

Review Articles

Review Articles provide a comprehensive and critical synthesis of existing research on a well-defined topic within artificial intelligence and autonomous systems. These articles should assess the current state of the field, identify gaps and challenges, and offer informed perspectives on future research directions. Review articles are regarded as secondary literature and are often widely read and highly cited.

Review manuscripts should generally be 6,000–8,000 words (excluding references) and must demonstrate analytical depth rather than a descriptive summary of prior work.

IJAIAS considers the following main types of review articles:

Critical Reviews

Authors critically evaluate existing literature, highlighting theoretical, methodological, and empirical contributions, as well as unresolved challenges and limitations.

Systematic or Scoping Reviews

Authors employ transparent, reproducible, and structured methodologies to identify, screen, and analyse relevant literature, with the aim of reducing bias and informing research or practice.

Meta-Analyses

Authors use quantitative synthesis techniques to statistically aggregate findings from prior studies in order to derive robust conclusions about trends, effectiveness, performance, or capabilities across the literature.

Case Studies

Case Studies offer in-depth examinations of real-world applications, deployments, or implementations of artificial intelligence and autonomous systems. These manuscripts should focus on practical insights, lessons learned, and contextual factors influencing system design, performance, safety, adoption, and impact.

Authors are expected to follow key stages, including case definition, contextual background, data collection, system implementation, evaluation methodology, interpretation of findings, and implications for practice or research. Case studies are typically 3,000–4,000 words in length (excluding references) and must clearly demonstrate relevance to AI and intelligent systems in applied settings.

Research Notes

Research Notes are concise manuscripts presenting preliminary findings, exploratory analyses, novel datasets, benchmark evaluations, new agent architectures, emerging AI methodologies, or proof-of-concept systems that may not yet warrant a full-length article but are of clear scholarly interest.

These submissions should include a brief abstract and introductory section and may be written in a continuous format to maintain conciseness. Research Notes are generally 2,000–3,000 words (excluding references) and typically include a title, short background, methodology or approach, key results, and a brief conclusion. Research Notes are considered early-stage or proof-of-concept contributions.

Editorials

Editorials are typically commissioned by the Editors to address topical issues, emerging trends, policy developments, or strategic directions relevant to the journal’s scope. Authors interested in submitting an Editorial should contact the Editor-in-Chief (EIC) in advance to propose their idea for consideration.

Benefits to Authors

All articles published in the International Journal of Artificial Intelligence and Agent Systems (IJAIAS) are fully open access. This ensures that published work is available to read, download, and share worldwide.

Key benefits include:

  • Flexible publication fees for authors to ensure inclusivity

  • Rigorous double-blind peer-review process

  • Rapid editorial screening

  • Review decisions are typically communicated within six weeks

  • Fast and efficient online submission and review system

  • Authors retain copyright of their published work

The authors grant Femington a license to publish and identify itself as the original publisher.

Aim and Scope

The rapid advancement of artificial intelligence, generative models, intelligent agents, and autonomous systems is transforming scientific research, industrial operations, public services, and human-computer interaction. At the same time, these developments introduce significant challenges related to reliability, safety, explainability, alignment, governance, scalability, and the responsible deployment of increasingly capable AI systems. Addressing these challenges requires robust methodologies, transparent evaluation practices, and interdisciplinary approaches that bridge foundational research and practical implementation.

The International Journal of Artificial Intelligence and Agent Systems (IJAIAS) publishes high-quality research that advances the theory, methods, systems, and applications of artificial intelligence and autonomous technologies. The journal serves as a platform for researchers, practitioners, and policymakers seeking to develop, evaluate, govern, and deploy intelligent systems that create meaningful scientific, societal, and industrial impact.

IJAIAS welcomes multidisciplinary contributions spanning artificial intelligence, machine learning, deep learning, generative AI, foundation models, intelligent agents, autonomous systems, computational intelligence, human-AI collaboration, AI safety, and related domains. Submissions may focus on theoretical developments, methodological innovations, computational frameworks, empirical studies, system architectures, or real-world implementations.

The principal areas covered by IJAIAS include, but are not limited to:

Artificial Intelligence Foundations

  • Artificial Intelligence

  • Deep Learning

  • Reinforcement Learning

Generative AI & Foundation Models

  • Generative AI

  • Large Language Models (LLMs)

  • Foundation Models

  • Retrieval-Augmented Generation (RAG)

Intelligent Agents & Autonomous Systems

  • AI Agents

  • Agentic Systems

  • Multi-Agent Systems

  • Autonomous Systems

  • Autonomous Decision-Making

AI Perception & Communication

  • Natural Language Processing

  • Computer Vision

  • Vision-Language Models

  • Human-AI Collaboration

Trustworthy AI

  • AI Safety

  • AI Governance

  • Explainable AI

  • AI Alignment

  • Responsible AI Systems