The Journal of Cognitive Systems is An international, peer-reviewed, indexed, and open-access periodical. The Journal publishes original papers in the field of artificial intelligence, biomedical, quantum information, big data analysis and statistical areas, which are related to cognitive science and engineering, as well as the applications of cognitive studies in social areas. Letter to the editor is also encouraged.

Aims and Scope

The Journal of Cognitive Systems is an international, peer-reviewed, indexed, and open-access journal dedicated to the broad field of cognitive systems, intelligent technologies, and human-centered computing. The journal welcomes original research articles, review papers, and contributions from cognitive philosophy, covering theoretical foundations, computational methods, technological developments, and practical applications.

The journal's scope includes, but is not limited to, the following topics:

• Cognitive Systems and Human Cognition: Cognitive systems, human intelligence, cognitive processes, perception, reasoning, memory, learning, decision-making, and the human brain.
• Human–Machine Interaction: Human–machine interaction, human–computer interfaces, brain–computer interfaces, human-centered AI, intelligent interfaces, and collaborative human–AI systems.
• Artificial Intelligence and Machine Learning: Artificial intelligence methods, machine learning, deep learning, neural networks, artificial neural network architectures, reinforcement learning, and adaptive and self-learning systems.
• Large Language Models and Generative AI: Large language models (LLMs), generative artificial intelligence, natural language processing, language-based cognitive systems, and intelligent conversational agents.
• Learning Systems and Learning Technologies: Intelligent learning systems, adaptive learning technologies, educational AI, personalized learning, cognitive tutoring systems, and AI-supported learning environments.
• Neural Signal Processing and Brain–Computer Interfaces: Electroencephalography (EEG), EEG signal analysis, neural signal processing, cognitive state estimation, brain activity modeling, and AI-based analysis of neurological and cognitive signals.
• Cognitive Psychology, Sociology, and Philosophy: Cognitive psychology, cognitive sociology, cognitive philosophy, social cognition, computational models of cognition, and interdisciplinary studies of human intelligence and behavior.
• Intelligent Systems and Applications: Autonomous and robotic systems, decision-support systems, pattern recognition, knowledge representation, computational intelligence, and AI applications across scientific, engineering, industrial, and societal domains.
• Emerging Computational Paradigms: Quantum computing, quantum cognition, quantum-inspired machine learning, and computational approaches to modeling complex cognitive phenomena.

The journal encourages interdisciplinary research integrating cognitive science, computer science, artificial intelligence, engineering, neuroscience, psychology, philosophy, and related fields. Particular interest is given to studies that advance cognitive modeling, intelligent learning mechanisms, human–machine collaboration, and the development and application of AI-driven cognitive systems.