Cognitive Psychology: Understanding Mental Processes
Cognitive psychology is a field that focuses on how mental processes affect behavior. This approach, developed in the 1960s, addresses the limitations of behaviorism by considering internal mental processes.
Definition: Cognitive psychology is the study of mental processes such as attention, language use, memory, perception, problem-solving, creativity, and reasoning.
Key Concepts and Developments
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Schema Development: As we age, our mental frameworks become more sophisticated, allowing for quicker information processing.
Vocabulary: Schema - A mental framework of beliefs and expectations that influence cognitive processes and are developed from experiences.
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Brain Imaging Techniques: Advancements in brain imaging techniques psychology like fMRI and PET scans have allowed scientists to observe the neurological basis of mental processes.
Highlight: Cognitive neuroscience and brain imaging techniques PDF resources often discuss how these tools have expanded our understanding of the brain's role in cognition.
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Computational Models: The cognitive approach views humans as information processors, similar to computers.
Example: Types of computational models in cognitive psychology include the information processing approach, which suggests that information flows through the cognitive system in stages: input, storage, and retrieval.
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Emergence of Cognitive Neuroscience: This field combines biology and cognitive psychology to study the influence of brain structures on mental processes.
Definition: Cognitive neuroscience is the scientific study of the influence of brain structures on mental processes.
Strengths and Applications
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Scientific Methods: The approach uses controlled methods to infer cognitive processes, producing reliable and objective data.
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Real-Life Applications: Cognitive psychology has contributed to artificial intelligence and robot development.
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Understanding Mental Disorders: It has been useful in establishing the neurological basis of mental disorders.
Limitations
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Low Ecological Validity: Experimental studies often use artificial stimuli that may not represent everyday experiences.
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Emotional Factors: The approach tends to ignore the influence of human emotion and motivation on the cognitive system.
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Machine Reductionism: Viewing humans as computers may oversimplify complex mental processes.
Evaluation: While computational models in cognitive psychology examples have proven useful in developing artificial intelligence, critics argue that this approach may oversimplify human cognition.
In conclusion, cognitive psychology has significantly advanced our understanding of mental processes, with applications ranging from brain scanning techniques A level Psychology to the development of thinking machines. However, it's important to consider its limitations and continue refining the approach to better capture the complexity of human cognition.