Science

Cognitive Science at IgMin Research | Science Group

Our mission is to foster interdisciplinary dialogue and accelerate the advancement of knowledge across a wide spectrum of scientific domains.

About

Cognitive Science is an interdisciplinary field that seeks to unravel the complexities of human cognition—the processes underlying thinking, perception, memory, language, and decision-making. This dynamic discipline integrates insights from psychology, neuroscience, linguistics, philosophy, and computer science to understand how the mind works and how it interacts with the world.

Cognitive scientists investigate topics such as attention, learning, problem-solving, emotion, and consciousness. By examining the brain's mechanisms and computational models, they shed light on the nature of human intelligence and behavior. Cognitive Science has wide-ranging implications, from enhancing education and artificial intelligence to understanding neurological disorders and the nature of consciousness itself.

  • Perception and sensation
  • Attention and focus
  • Memory processes
  • Learning and cognition
  • Language comprehension
  • Problem-solving and decision-making
  • Emotion and cognition
  • Neurocognitive development
  • Cognitive neuroscience
  • Computational modeling of cognition
  • Cognitive psychology
  • Philosophical aspects of cognition
  • Consciousness studies
  • Artificial intelligence and cognitive systems
  • Neural basis of cognition
  • Cognitive rehabilitation
  • Cognitive assessment and testing
  • Cognitive science and education
  • Cognitive science and mental health
  • Cognitive science education and outreach
  • Advancements in cognitive science research
  • Cognitive science and brain-computer interfaces
  • Cognitive science and social interactions
  • Cognitive science and ethics
  • Cognitive science and the future of technology

Science Group (2)

Review Article Article ID: igmin180
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Wishful Thinking about Consciousness
by Peter Grindrod

We contrast three very distinct mathematical approaches to the hard problem of consciousness: quantum consciousness, integrated information theory, and the very large-scale dynamical systems simulation of a network of networks. We highlight their features and their associated hypotheses, and we discuss how they are ali...gned or in conflict. We suggest some challenges to these theories, in considering how they might apply to the human brain as it develops both cognitive and conscious sophistication, from infancy to adulthood. We indicate how an evolutionary perspective challenges the distinct approaches to aver performance advantages and physiological surrogates for consciousness.

Cognitive Science Behavioral Science
Research Article Article ID: igmin158
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
by Abdulrahman M Al-Zahrani

This study explores the repercussions of excessive reliance on Artificial Intelligence (AI) on human cognitive processes, specifically targeting problem-solving, creativity, and decision-making. Employing qualitative semi-structured interviews and Interpretative Phenomenological Analysis (IPA), it delves into the nuanc...ed challenges and risks stemming from an overemphasis on AI. The research illuminates a nuanced landscape: while AI streamlines problem-solving tasks and provides valuable support, there’s a crucial need to safeguard human judgment and intuition. In the realm of creativity, divergent viewpoints emerge, underscoring concerns regarding AI’s potential limitations and advocating for a harmonious interplay between AI-generated suggestions and individual creative thought. Regarding decision-making, participants recognize AI’s utility but underscore the necessity of blending AI insights with critical thinking and consideration of unique circumstances. They caution against complacency, advocating for a judicious equilibrium between AI guidance and individual expertise. This study innovates by providing multifaceted insights into the complexities of AI-human interaction, uncovering nuanced perspectives on its impacts across problem-solving, creativity, and decision-making domains. By bridging this gap, it advances understanding of how AI integration influences cognitive processes, offering practical implications for fostering a balanced approach. Its innovative methodology combines qualitative interviews and IPA, offering rich, nuanced data that provide a deeper understanding of the subject matter. This research serves as a beacon for promoting awareness of the risks associated with overreliance on AI, advocating for a mindful integration that upholds human agency while leveraging AI capabilities effectively.

Cognitive Science