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Cognitive Science

Understanding perception, memory, reasoning, and the computational nature of thought.

Purpose and Direction
Vision

To be the leading interdisciplinary hub for cognitive science research, driving innovation in cognitive technologies and improving human performance, well-being, and decision-making, and its translation into groundbreaking applications that empower individuals and organizations to thrive in an increasingly complex world.

Mission

To integrate insights from diverse disciplines, including psychology, computer science, philosophy, and linguistics, to deepen our understanding of the complex processes underlying human perception, emotion, learning, reasoning, and decision-making, and apply these insights to enhance human cognition and performance.

Focus areas

The questions and outcomes this division concentrates on, drawn directly from its vision and mission.

Interdisciplinary integration

Bringing together insights from psychology, computer science, philosophy, and linguistics.

Processes of the mind

Understanding perception, emotion, learning, reasoning, and decision-making.

Cognitive technologies

Driving innovation in cognitive technologies and groundbreaking applications.

Human performance

Improving human performance, well-being, and decision-making.

Research themes

Themes our contributors explore, summarized from the division's published articles.

Cognitive load and decision quality

When mental demands exceed working memory, decisions degrade: people lean on biases, act impulsively, default to the status quo, and self-control weakens as fatigue builds.

Language and thought

Linguistic relativity holds that a language's grammar, vocabulary, and metaphors shape perception, emotion, and reasoning, influencing how we handle color, space, time, and culture.

Divergent and convergent creativity

Innovation cycles between divergent idea generation and convergent refinement, driven by the interplay of the brain's default mode and executive control networks plus supportive environments.

AI and human cognition

AI matches or beats humans at narrow tasks but lacks consciousness, genuine empathy, and moral reasoning, so it simulates understanding rather than truly grasping human experience.

Bridging psychology and neuroscience

Cognitive science links mental function to neural mechanism using neuroimaging, computational models, and lesion studies, connecting processes like memory and decision-making to brain activity.

Further reading