Aims & Scope

Aims

The Journal of Intelligent Systems and AI Research (JISAR) is a scholarly journal dedicated to advancing research in artificial intelligence (AI) and intelligent systems. The journal aims to provide a forum for the exchange of original scientific results, innovative methodologies, theoretical developments, and rigorous evaluations of AI-based approaches.

JISAR seeks to bridge theoretical research and practical applications by publishing work that advances how intelligent systems learn, reason, perceive, communicate, make decisions, and interact with their environments. The journal welcomes contributions from computer science, engineering, mathematics, and other disciplines where artificial intelligence plays a meaningful role.

The journal’s mission is to support the development of reliable, effective, and responsible AI through the dissemination of scientifically rigorous research, critical analysis of emerging methods, and knowledge exchange across the international research community.

Scope

JISAR welcomes original research and scholarly reviews addressing the foundations, methods, architectures, evaluation, and applications of artificial intelligence and intelligent systems.

Topics of interest include, but are not limited to, the following areas:

  • Machine Learning and Deep Learning: Novel learning algorithms, neural network architectures, representation learning, transfer learning, continual learning, optimization methods, and learning from limited or imperfect data.

  • Generative AI and Large Language Models: Large language models, generative modelling, retrieval-augmented generation (RAG), knowledge-augmented AI, prompt and context engineering methods, and the evaluation of generative systems.

  • Knowledge Representation and Reasoning: Knowledge graphs, symbolic AI, automated reasoning, logic-based systems, neuro-symbolic approaches, planning, and the integration of structured knowledge with learned representations.

  • Natural Language Processing and Multimodal AI: Semantic analysis, information extraction, language understanding and generation, speech technologies, information retrieval, computer vision, and systems combining text, images, audio, video, or other data modalities.

  • Intelligent Agents and Autonomous Systems: Intelligent and multi-agent systems, autonomous decision-making, coordination, planning, robotics, perception, adaptive control, and human-agent interaction.

  • Trustworthy, Explainable, and Secure AI: Interpretability, explainability, robustness, fairness, privacy-preserving learning, adversarial resilience, formal verification, AI safety, and methods for evaluating the reliability of intelligent systems.

  • Intelligent Decision Support and Optimization: Decision-support systems, recommender systems, intelligent scheduling, heuristic and metaheuristic optimization, operations research methods enhanced by AI, and data-driven decision-making.

  • Computational and Bio-Inspired Intelligence: Evolutionary computation, swarm intelligence, fuzzy systems, adaptive algorithms, and other computational methods inspired by biological or collective behaviour.

  • AI Systems Engineering and Evaluation: AI architectures, system integration, model evaluation, benchmarking, reproducibility, deployment methods, and techniques for assessing the performance and limitations of intelligent systems.

  • Interdisciplinary Applications of AI: Applications in science, engineering, industry, education, healthcare, and other domains, provided that the work offers a clear contribution to AI methods, intelligent-system design, or their rigorous evaluation.

Manuscripts should demonstrate a clear scientific contribution appropriate to the subject area. Depending on the research type, this may include theoretical analysis, methodological innovation, empirical evaluation, comparison with established approaches, or evidence of practical effectiveness. Authors are expected to describe their methods and results with sufficient clarity to support critical assessment by reviewers and readers.

Types of Contributions

JISAR considers the following types of contributions:

  1. Research Articles: Original scientific contributions presenting new methods, algorithms, models, system architectures, theoretical results, or substantial empirical findings. Manuscripts should explain the research problem, methodology, evaluation, results, and limitations.

  2. Review and Survey Articles: Critical and comprehensive analyses of established or emerging research areas. Reviews should provide a clear review methodology where appropriate, synthesize the available evidence, identify research gaps, and outline promising directions for further investigation.

  3. Conference Abstracts: Concise summaries of research submitted to scientific conferences organized by or formally affiliated with the journal. Abstracts must follow the relevant conference instructions and may not exceed four pages, unless the specific conference announcement states otherwise. Acceptance and publication arrangements are determined by the applicable conference submission and review procedures.

  4. Special Issue Contributions: Research or review articles submitted in response to announced special issue calls. These contributions must meet the journal’s applicable editorial and peer-review requirements.

The availability of each contribution type, its formatting requirements, and its review procedure may depend on the relevant submission guidelines or conference announcement.

Out of Scope

JISAR does not normally consider submissions that fall into the following categories:

  • Promotional or commercial material: Product brochures, marketing content, vendor white papers, or technical specifications that do not provide an original scholarly contribution.

  • Unsupported speculative essays: Opinion pieces or conceptual proposals that lack adequate scientific grounding, a clear argument, or appropriate supporting evidence.

  • Insufficiently novel studies: Work limited to minor parameter adjustments, routine implementation changes, or incremental experiments without a meaningful contribution to existing knowledge.

  • Insufficiently evaluated methods: Manuscripts making performance claims without appropriate experimental design, relevant comparisons, adequate validation, or a clear discussion of limitations.

  • Application reports without an AI contribution: Descriptions of software products or domain-specific implementations that do not offer a substantial contribution to AI methods, intelligent-system design, or the systematic evaluation of such systems.

  • Work outside the journal’s scope: Submissions that do not have a clear and substantive connection to artificial intelligence or intelligent systems.

Meeting the journal’s scope requirements does not guarantee acceptance. All submissions remain subject to editorial assessment and the applicable review process.