Read the notes, then try the practice. It adapts as you go.When you're ready.
Session Length
~17 min
Adaptive Checks
15 questions
Transfer Probes
8
Cognitive science is the interdisciplinary study of the mind and its processes, drawing on research and methods from psychology, neuroscience, linguistics, philosophy, computer science, and anthropology. At its core, the field seeks to understand how the brain gives rise to mental phenomena such as perception, memory, language, reasoning, and consciousness. By integrating insights from multiple disciplines, cognitive science provides a richer and more complete picture of the mind than any single field could offer alone.
The formal emergence of cognitive science is often traced to the 1956 Symposium on Information Theory at MIT, where researchers such as Noam Chomsky, Allen Newell, Herbert Simon, and George Miller presented groundbreaking work that challenged the dominant behaviorist paradigm. The cognitive revolution that followed reintroduced the study of internal mental states as legitimate scientific inquiry, using computational models and information-processing frameworks to explain thought and behavior. This revolution laid the groundwork for modern research in artificial intelligence, psycholinguistics, and cognitive neuroscience.
Today, cognitive science continues to evolve as new technologies such as functional magnetic resonance imaging (fMRI), machine learning, and brain-computer interfaces expand our ability to observe and model mental processes. The field addresses fundamental questions about the nature of intelligence, the structure of knowledge, and the relationship between mind and body. Its practical applications span education, artificial intelligence, human-computer interaction, clinical therapy, and public policy design, making it one of the most consequential scientific enterprises of the twenty-first century.
One step at a time.
Mental representations are internal cognitive symbols or structures that stand for external objects, events, or abstract ideas. They are the building blocks of thought, enabling the mind to reason about things that are not immediately present in the environment.
Example: When you plan a route to work, you use a mental map—a spatial representation—of streets and landmarks even though you cannot physically see the entire route at once.
Working memory is a limited-capacity system responsible for the temporary holding and manipulation of information during complex cognitive tasks. It acts as a mental workspace that integrates perception, long-term memory, and action.
Example: When you multiply 23 by 7 in your head, you hold partial products in working memory while calculating the next step, juggling several numbers simultaneously.
Embodied cognition is the theory that cognitive processes are deeply shaped by the body's interactions with the environment. Rather than treating the mind as a disembodied computer, this view holds that sensory and motor systems play a constitutive role in thinking.
Example: Research shows that people understand sentences about physical actions (like 'kick the ball') faster when they can simultaneously move the relevant body part, suggesting comprehension is linked to motor simulation.
Cognitive load theory describes the amount of mental effort required to process information in working memory. It distinguishes between intrinsic load (inherent difficulty), extraneous load (poor instructional design), and germane load (effort devoted to learning).
Example: A textbook that uses clear diagrams and avoids cluttered layouts reduces extraneous cognitive load, freeing up working memory capacity for genuine understanding of the material.
This theory proposes that the mind operates by performing computations over symbolic representations, much like a digital computer processes data. It was a foundational idea of the cognitive revolution and remains influential in AI research.
Example: When a chess player evaluates possible moves, the computational theory suggests the brain is manipulating symbolic representations of pieces and rules, performing a kind of search algorithm over possible game states.
Proposed by Jerry Fodor, modularity holds that the mind is organized into distinct, specialized processing units (modules) that operate independently and handle specific types of input such as language, face recognition, or spatial reasoning.
Example: People with prosopagnosia (face blindness) cannot recognize faces but can still recognize objects, suggesting that face processing is handled by a dedicated cognitive module separate from general object recognition.
Connectionism models cognition using artificial neural networks—large systems of simple interconnected processing units that learn by adjusting the strength of their connections. It offers an alternative to the symbolic computation view of the mind.
Example: A connectionist model of past-tense learning in children can reproduce the pattern where kids first say 'went,' then over-regularize to 'goed,' and eventually return to 'went,' without being given explicit grammar rules.
Theory of mind is the ability to attribute mental states—beliefs, desires, intentions, and emotions—to oneself and others, and to understand that others may have perspectives different from one's own. It is crucial for social interaction and communication.
Example: A child who understands that a friend looking in an empty cookie jar will be surprised (because the friend believed cookies were there) is demonstrating theory of mind.
More terms are available in the glossary.
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Walk through a solved problem step-by-step. Try predicting each step before revealing it.
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