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Academic Journal

International Journal of Artificial Intelligence and Agent Systems

ISSN: 3143-9977 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, and agentic systems are increasingly transforming science, industry, governance, and society, making it essential to address not only model performance and autonomy but also safety, transparency, reliability, and long-term societal impact. This includes developing AI systems that can reason, learn, collaborate, and adapt under dynamic conditions while remaining aligned with human values, operational constraints, and ethical principles. Achieving meaningful progress in artificial intelligence and autonomous systems demands attention to foundational challenges such as model robustness, explainability, generalization, alignment, computational efficiency, and responsible deployment. Equally important are broader considerations involving AI governance, safety evaluation, accountability, human-AI collaboration, access to computational resources, and the societal implications of increasingly capable intelligent systems. Addressing these challenges requires interdisciplinary collaboration that combines advances in AI theory, algorithms, architectures, and agent design with rigorous empirical validation and real-world applications. 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 systems 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. 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.

ISSN2589-0042
Publishing modelOpen Access
Latest IssueJun 26, Vol. 1, Issue 1
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Journal Updates

Call for Papers – International Journal of Artificial Intelligence and Agent Systems (IJAIAS)

The International Journal of Artificial Intelligence and Agent Systems (IJAIAS) invites submissions for its inaugural issues from researchers, practitioners, and innovators working across artificial intelligence, generative AI, intelligent agents, autonomous systems, and related computational disciplines.

IJAIAS welcomes original research articles, comprehensive review papers, case studies, and applied or practice-oriented studies that present substantive contributions to AI theory, methodologies, architectures, systems, evaluation frameworks, or real-world deployment. Submissions may include, but are not limited to:

  • Novel algorithms, architectures, frameworks, or systems for artificial intelligence and intelligent automation

  • Research advances in machine learning, deep learning, reinforcement learning, and computational intelligence

  • Generative AI, foundation models, large language models (LLMs), and retrieval-augmented generation (RAG)

  • AI agents, agentic systems, multi-agent systems, and autonomous decision-making frameworks

  • Natural language processing, conversational AI, language understanding, and human-AI communication

  • Computer vision, multimodal AI, vision-language models, and perception systems

  • Research on autonomous systems, intelligent robotics, adaptive agents, and autonomous reasoning

  • Empirical studies supported by rigorous experimentation, benchmark evaluations, simulations, or real-world deployments

  • AI safety, explainability, fairness, robustness, alignment, governance, and responsible AI development

  • Human-AI collaboration, interactive AI systems, and augmented intelligence applications

  • Applied AI research addressing challenges in healthcare, finance, education, manufacturing, cybersecurity, public services, and other domains

  • Studies evaluating the deployment, performance, safety, or societal impact of AI and autonomous systems in real-world environments

  • Interdisciplinary research where artificial intelligence serves as a central component of scientific, technological, or organizational innovation

  • Critical reviews, systematic reviews, scoping reviews, and meta-analyses that synthesize and evaluate developments within the journal’s scope

The journal particularly encourages submissions that emphasize scientific rigor, methodological transparency, reproducibility, responsible AI practices, and real-world impact, while clearly articulating their contribution to advancing the state of the art in artificial intelligence and autonomous systems.

Contributions from both academic and industry research communities are welcome, provided they meet high scholarly standards and offer meaningful, verifiable, and reproducible insights.

Submission Status: Open
Review Model: Double-blind peer review
Publication Model: Open Access