Information processing (psychology)

• 1. Origins And Emergence

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  The year 1945 marked the end of World War II and the beginning of a new era in psychological research. Scientists began treating human thinking as essentially computational, with the mind acting like software and the brain serving as hardware. This approach arose during the 1940s and 1950s following the global conflict. The information processing approach in psychology became closely allied to the computational theory of mind found in philosophy. It also related to cognitivism within psychology and functionalism in philosophical circles. Researchers sought to understand how people gather, manipulate, store, retrieve, and classify recorded information. They viewed cognition through the lens of algorithms transforming data, similar to what computers do today.

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• 2. Computational Mind Models

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  Richard Atkinson and Richard Shiffrin published their multi-store model in 1968 to describe three stages of mental processing. Information must pass from sensory memory into short-term memory before reaching long-term storage. Sensory registers take input via five senses including visual, auditory, tactile, olfactory, and taste. These systems are present since birth and handle simultaneous processing like tasting food while smelling it. The behavioral response lasts only one to three seconds before fading away. Short-term memory holds information for slightly longer periods but maintains limited capacity. Estimates suggest healthy adults retain about seven items if grouped into chunks using perceptual associations. Duration spans five to twenty seconds before the subject loses the information entirely. Long-term memory offers potentially unlimited capacity with indefinite duration despite occasional access difficulties.

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• 3. Sternberg Intelligence Framework

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  Psychologist Saul Sternberg introduced high-speed memory scanning concepts during the 1960s to shape the field. He asked participants to memorize small sets of numbers then decide whether a test number belonged to that set. Reaction time increased in a straight line as the number of items grew larger. This finding suggested people check each item in memory one by one through serial exhaustive search. Mental operations occurred in orderly measurable stages according to these experiments. Sternberg later defended this model in 2016 emphasizing its continued importance for understanding retrieval processes. His triarchic theory includes creative analytical and practical abilities working together within cognition. Meta components plan problems while performance components follow those orders to execute tasks. Knowledge-acquisition components learn how to solve problems over time.

• 4. Cognitive Development Stages

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  Jean Piaget identified four different stages between age brackets characterized by distinctive thought processes. The sensorimotor period runs from birth to two years where newborns rely on senses for processing. Toddlers respond with reflexes during this initial phase of development. Children enter the preoperational stage between ages two and six learning through imitation alone. They remain unable to take other people's point of view at this time. Logic develops during the concrete operational stage spanning six to eleven years old. Multiple factors can be considered when solving problems becomes possible. Adolescents begin understanding abstract concepts during formal operational periods starting around age eleven. The brain's prefrontal cortex undergoes important changes during adolescence alongside limbic system shifts. Planning generates goals strategies intuitive decision-making and metacognition occur here. This region completes between adolescence and early adulthood allowing better risk evaluation than children possess.

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• 5. Connectionist Networks

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  The horizontally distributed processing approach gained popularity under the name connectionism in the mid-1980s. Connectionist networks consist of different nodes working together through a priming effect mechanism. A prime node activates a connected node creating knowledge representation across combinations of differently activated units. Unlike semantic networks no single node holds specific meaning independently. Knowledge emerges from the combination of various active nodes rather than isolated points. Researchers shifted toward these distributed horizontal processing models as traditional vertical approaches faced limitations. The network works by activating connections that spread influence throughout the system simultaneously. This method offered new ways to understand how information flows without rigid hierarchical structures. It represented a significant departure from earlier centralized processing theories dominant since the 1960s.

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• 6. Individual Memory Variations

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  DeStefano Vul and Brady published research in 2025 examining how people store visual information in working memory. Participants remembered colors from memory revealing consistent personal attractor biases toward certain hues. These patterns showed memory errors are not random but shaped by individual perception and past experience. Brain handling of visual information depends on stable internal cognitive tendencies alongside external stimuli. Research expanded the information processing approach by showing universal mechanisms coexist with individual differences. Personal biases influence what gets stored and recalled during testing sessions. Visual working memory storage varies significantly based on these internal attractor patterns found within each person. Their work highlights how processing involves both shared mechanisms and unique personal variations affecting outcomes.