About the Journal

Journal  Name : Computer & Mind Review

About the Journal

Computer & Mind Review is a double-blind, peer-reviewed, and open-access scholarly journal dedicated to exploring the dynamic relationship between computational systems, artificial intelligence, and human cognitive processes. The journal aims to advance understanding of how technology models, replicates, and enhances human perception, learning, reasoning, and decision-making. By fostering interdisciplinary research, it connects the fields of computer science, AI, cognitive psychology, neuroscience, philosophy of mind, and human–computer interaction (HCI).

The journal employs a rigorous double-blind peer review process to ensure impartiality, objectivity, and scholarly excellence by maintaining the confidentiality of both authors and reviewers. As an open-access platform, Computer & Mind Review offers free and unrestricted access to all its content, ensuring global dissemination of research findings and encouraging cross-disciplinary dialogue. Guided by the ethical principles of the Committee on Publication Ethics (COPE), the journal upholds high standards of transparency, originality, and research integrity.

Aim and Scope

Aim

The aim of Computer & Mind Review is to provide an academic forum for innovative and interdisciplinary research that integrates computational technologies with the study of human cognition. It seeks to publish work that contributes to both theoretical knowledge and practical applications, influencing the design of intelligent systems, adaptive technologies, and human–machine collaboration frameworks.

Scope

The journal welcomes submissions including, but not limited to:

  1. Computational Cognitive Science– Modeling memory, attention, language, and decision-making through computational methods.
  2. Artificial Intelligence Inspired by Human Cognition– Cognitive architectures, neuro-symbolic AI, and biologically inspired algorithms.
  3. Human–Computer Interaction (HCI)– Adaptive systems, usability design, and cognitive ergonomics.
  4. Neurocomputing & Brain–Computer Interfaces (BCI)– Neural signal processing, prosthetic control, and neural data interpretation.
  5. Natural Language Understanding & Generation– Computational linguistics, conversational AI, and psycholinguistics.
  6. Affective Computing– Emotion recognition, sentiment analysis, and adaptive emotional responses in AI.
  7. Cognitive Robotics– Intelligent robotic systems capable of perception, reasoning, and learning.
  8. Decision Support Systems– AI-driven models for predictive and prescriptive decision-making.
  9. Learning Sciences & Intelligent Tutoring– Educational AI systems grounded in cognitive theories.
  10. Ethics & Philosophy of Cognitive AI– Moral, social, and philosophical implications of machine cognition and AI autonomy.

By bridging computational innovation with cognitive research, Computer & Mind Review aspires to deepen understanding of both artificial and natural intelligence, fostering advancements that are scientifically rigorous, ethically sound, and socially impactful.