About the Journal

Journal Name : Computers in Human Mind Review

About the Journal

Computers in Human Mind Review is a double-blind, peer-reviewed, and open-access scholarly journal dedicated to exploring the intersection of computer science, artificial intelligence (AI), cognitive psychology, and neuroscience. The journal focuses on how computational systems, algorithms, and intelligent technologies can model, augment, and understand human cognition, perception, learning, and decision-making. It serves as a bridge between disciplines, enabling researchers from computer science, psychology, linguistics, philosophy, neuroscience, and human–computer interaction (HCI) to collaborate and share groundbreaking insights.

The journal adheres to a rigorous double-blind peer review process, ensuring impartiality and scholarly excellence by keeping author and reviewer identities confidential. As an open-access publication, Computers in Human Mind Review provides unrestricted access to its full content, promoting global knowledge exchange and accelerating progress in both academic and applied research domains. Guided by the ethical standards of the Committee on Publication Ethics (COPE), the journal prioritizes transparency, originality, and high research quality.

Aim and Scope

Aim

The aim of Computers in Human Mind Review is to advance interdisciplinary research that leverages computational models, AI systems, and digital technologies to better understand human cognition and behavior. The journal encourages the development of innovative algorithms, tools, and experimental methodologies that replicate or enhance mental processes, while also considering ethical, societal, and philosophical implications.

Scope

The journal welcomes original research articles, reviews, theoretical frameworks, and applied studies in, but not limited to, the following areas:

  1. Computational Cognitive Modeling– Simulating memory, reasoning, language processing, and problem-solving.
  2. Artificial Intelligence & Cognitive Systems– Machine learning approaches inspired by human cognition.
  3. Human–Computer Interaction (HCI)– Designing interfaces and systems that adapt to human cognitive states.
  4. Neurocomputing & Brain–Computer Interfaces (BCI)– Translating brain activity into computational signals.
  5. Natural Language Processing (NLP) & Psycholinguistics– Modeling human language understanding and generation.
  6. Cognitive Robotics– Robots with perception, reasoning, and adaptive learning abilities.
  7. Affective Computing– AI systems that detect and respond to human emotions.
  8. Decision Support & Behavioral Modeling– Predicting and assisting human decision-making processes.
  9. Learning Sciences & Educational AI– Adaptive learning technologies based on cognitive principles.
  10. Ethics & Philosophy of AI and Cognition– Moral, societal, and philosophical implications of machine cognition.

By bringing together diverse fields, Computers in Human Mind Review aspires to create a deeper understanding of how computational systems can reflect, enhance, and transform the way humans think, learn, and interact with technology.