Archives

  • Cognify: Journal of Artificial Intelligence and Cognitive Science
    Vol. 2 No. 1 (2025)

  • Cognify: Journal of Artificial Intelligence and Cognitive Science
    Vol. 1 No. 5 (2024)

    Cognify is committed to advancing the fields of artificial intelligence (AI) and cognitive science by publishing innovative research that explores the intersection of these domains. The journal welcomes high-quality submissions on a broad range of topics, including but not limited to:

    • Artificial Intelligence: Machine Learning, Deep Learning, Natural Language Processing, Robotics, Computer Vision, Reinforcement Learning, etc.
    • Cognitive Science: Cognitive Neuroscience, Human-Computer Interaction, Cognitive Psychology, Decision Making, Computational Neuroscience, etc.
    • Interdisciplinary Research: Studies that bridge AI and cognitive science, ethical considerations in AI, AI in cognitive modeling, and AI's impact on society and human behavior.

    Topics of Interest

    Submissions are encouraged on a wide range of topics, including but not limited to:

    • Advances in Machine Learning and Neural Networks
    • Cognitive Modeling and Simulation
    • Natural Language Understanding and Generation
    • Human-Robot Interaction and Social Robotics
    • Computational Neuroscience and Neuroinformatics
    • AI Ethics and Policy
    • Cognitive Development and Learning
    • Explainable and Interpretable AI
    • Cognitive Architectures and Their Applications
    • AI for Cognitive Enhancement and Rehabilitation

  • Cognify: Journal of Artificial Intelligence and Cognitive Science
    Vol. 1 No. 4 (2024)

    Cognify is committed to advancing the fields of artificial intelligence (AI) and cognitive science by publishing innovative research that explores the intersection of these domains. The journal welcomes high-quality submissions on a broad range of topics, including but not limited to:

    • Artificial Intelligence: Machine Learning, Deep Learning, Natural Language Processing, Robotics, Computer Vision, Reinforcement Learning, etc.
    • Cognitive Science: Cognitive Neuroscience, Human-Computer Interaction, Cognitive Psychology, Decision Making, Computational Neuroscience, etc.
    • Interdisciplinary Research: Studies that bridge AI and cognitive science, ethical considerations in AI, AI in cognitive modeling, and AI's impact on society and human behavior.

    Topics of Interest

    Submissions are encouraged on a wide range of topics, including but not limited to:

    • Advances in Machine Learning and Neural Networks
    • Cognitive Modeling and Simulation
    • Natural Language Understanding and Generation
    • Human-Robot Interaction and Social Robotics
    • Computational Neuroscience and Neuroinformatics
    • AI Ethics and Policy
    • Cognitive Development and Learning
    • Explainable and Interpretable AI
    • Cognitive Architectures and Their Applications
    • AI for Cognitive Enhancement and Rehabilitation

  • Cognify: Journal of Artificial Intelligence and Cognitive Science
    Vol. 1 No. 3 (2024)

    Cognify is committed to advancing the fields of artificial intelligence (AI) and cognitive science by publishing innovative research that explores the intersection of these domains. The journal welcomes high-quality submissions on a broad range of topics, including but not limited to:

    • Artificial Intelligence: Machine Learning, Deep Learning, Natural Language Processing, Robotics, Computer Vision, Reinforcement Learning, etc.
    • Cognitive Science: Cognitive Neuroscience, Human-Computer Interaction, Cognitive Psychology, Decision Making, Computational Neuroscience, etc.
    • Interdisciplinary Research: Studies that bridge AI and cognitive science, ethical considerations in AI, AI in cognitive modeling, and AI's impact on society and human behavior.

    Topics of Interest

    Submissions are encouraged on a wide range of topics, including but not limited to:

    • Advances in Machine Learning and Neural Networks
    • Cognitive Modeling and Simulation
    • Natural Language Understanding and Generation
    • Human-Robot Interaction and Social Robotics
    • Computational Neuroscience and Neuroinformatics
    • AI Ethics and Policy
    • Cognitive Development and Learning
    • Explainable and Interpretable AI
    • Cognitive Architectures and Their Applications
    • AI for Cognitive Enhancement and Rehabilitation

  • Cognify: Journal of Artificial Intelligence and Cognitive Science
    Vol. 1 No. 2 (2024)

    Cognify is committed to advancing the fields of artificial intelligence (AI) and cognitive science by publishing innovative research that explores the intersection of these domains. The journal welcomes high-quality submissions on a broad range of topics, including but not limited to:

    • Artificial Intelligence: Machine Learning, Deep Learning, Natural Language Processing, Robotics, Computer Vision, Reinforcement Learning, etc.
    • Cognitive Science: Cognitive Neuroscience, Human-Computer Interaction, Cognitive Psychology, Decision Making, Computational Neuroscience, etc.
    • Interdisciplinary Research: Studies that bridge AI and cognitive science, ethical considerations in AI, AI in cognitive modeling, and AI's impact on society and human behavior.

    Topics of Interest

    Submissions are encouraged on a wide range of topics, including but not limited to:

    • Advances in Machine Learning and Neural Networks
    • Cognitive Modeling and Simulation
    • Natural Language Understanding and Generation
    • Human-Robot Interaction and Social Robotics
    • Computational Neuroscience and Neuroinformatics
    • AI Ethics and Policy
    • Cognitive Development and Learning
    • Explainable and Interpretable AI
    • Cognitive Architectures and Their Applications
    • AI for Cognitive Enhancement and Rehabilitation

  • Cognify: Journal of Artificial Intelligence and Cognitive Science
    Vol. 1 No. 1 (2024)

    This journal issue examines the intersection of artificial intelligence (AI), cognitive science, and education, highlighting various ways AI enhances teaching, learning, and academic research. The first article explores employee emotional dissonance and its connection to quiet quitting in commercial banks in Nigeria. The issue continues with the development of a dual-method file-sharing application, followed by discussions on AI in teaching and research programs in Nigerian tertiary institutions. Several studies delve into the role of AI in enhancing educational practices, including a cognitive science approach to teacher-AI collaboration, supporting teachers’ cognitive workload during lesson planning, and using AI to aid memory retention and recall in learning. Other articles explore cognitive strategies for teaching AI concepts to K-12 students, gamification in STEM education, and AI's role in detecting and addressing learning disabilities. Additionally, AI tools for assessing cognitive skills in writing and comprehension, optimizing learning through AI-driven virtual classrooms, and enhancing critical thinking through AI-powered cognitive tutors are discussed. The final articles focus on AI-driven personalized learning and adaptive educational systems, providing valuable insights into how cognitive science informs AI applications in educational settings. This issue offers significant contributions to understanding how AI and cognitive science can be leveraged to improve learning experiences and outcomes.