Information processing (psychology)

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In cognitive psychology, information processing is an approach to the goal of understanding human thinking that treats cognition as essentially computational in nature, with the mind being the software and the brain being the hardware (Shannon & Weaver, 1963). It arose in the 1940s and 1950s, after World War II (Sternberg & Sternberg, 2012). The information processing approach in psychology is closely allied to the computational theory of mind in philosophy; it is also related to cognitivism in psychology and functionalism in philosophy (Horst, 2011).

Contents

Two types

Information processing may be vertical or horizontal, either of which may be centralized or decentralized (distributed). The horizontally distributed processing approach of the mid-1980s became popular under the name connectionism. The connectionist network is made up of different nodes, and it works by a "priming effect," and this happens when a "prime node activates a connected node" (Sternberg & Sternberg, 2012). But "unlike in semantic networks, it is not a single node that has a specific meaning, but rather the knowledge is represented in a combination of differently activated nodes"(Goldstein, as cited in Sternberg, 2012).

Models and theories

There are several proposed models or theories that describe the way in which we process information. Every individual has different information overload point with the same information load because individuals have different information-processing capacities (Eppler and Mengis, 2004)

Sternberg's triarchic theory of intelligence

Sternberg's theory of intelligence is made up of three different components: creative, analytical, and practical abilities (Sternberg & Sternberg, 2012). Creativeness is the ability to have new original ideas, and being analytical can help a person decide whether the idea is a good one or not. "Practical abilities are used to implement the ideas and persuade others of their value" (Sternberg & Sternberg, 2012 p. 21). In the middle of Sternberg's theory is cognition and with that is information processing. In Sternberg's theory, he says that information processing is made up of three different parts, meta components, performance components, and knowledge-acquisition components (Sternberg & Sternberg, 2012). These processes move from higher-order executive functions to lower-order functions. Meta components are used for planning and evaluating problems, while performance components follow the orders of the meta components, and the knowledge-acquisition component learns how to solve the problems (Sternberg & Sternberg, 2012). This theory in action can be explained by working on an art project. First is a decision about what to draw, then a plan and a sketch. During this process there is simultaneous monitoring of the process, and whether it is producing the desired accomplishment. All these steps fall under the meta component processing, and the performance component is the art. The knowledge-acquisition portion is the learning or improving drawing skills.

Information processing model: the working memory

Adapted from Atkinson, R.C. and Shiffrin, R.M. (1968). 'Human memory: A Proposed System and its Control Processes'. Information Processing Model - Atkinson & Shiffrin.jpg
Adapted from Atkinson, R.C. and Shiffrin, R.M. (1968). 'Human memory: A Proposed System and its Control Processes'.

Information processing has been described as "the sciences concerned with gathering, manipulating, storing, retrieving, and classifying recorded information". [1] According to the Atkinson-Shiffrin memory model or multi-store model, for information to be firmly implanted in memory it must pass through three stages of mental processing: sensory memory, short-term memory, and long-term memory. [2]

An example of this is the working memory model. This includes the central executive, phonologic loop, episodic buffer, visuospatial sketchpad, verbal information, long-term memory, and visual information (Sternberg & Sternberg, 2012). The central executive is like the secretary of the brain. It decides what needs attention and how to respond. The central executive then leads to three different subsections. The first is phonological storage, subvocal rehearsal, and the phonological loop. These sections work together to understand words, put the information into memory, and then hold the memory. The result is verbal information storage. The next subsection is the visuospatial sketchpad which works to store visual images. The storage capacity is brief but leads to an understanding of visual stimuli. Finally, there is an episodic buffer. This section is capable of taking information and putting it into long-term memory. It is also able to take information from the phonological loop and visuospatial sketchpad, combining them with long-term memory to make "a unitary episodic representation (Sternberg & Sternberg, 2012). In order for these to work, the sensory register takes in via the five senses: visual, auditory, tactile, olfactory, and taste. These are all present since birth and are able to handle simultaneous processing (e.g., food – taste it, smell it, see it). In general, learning benefits occur when there is a developed process of pattern recognition. The sensory register has a large capacity and its behavioral response is very short (1–3 seconds). Within this model, sensory store and short term memory or working memory has limited capacity. Sensory store is able to hold very limited amounts of information for very limited amounts of time. This phenomenon is very similar to having a picture taken with a flash. For a few brief moments after the flash goes off, the flash it seems to still be there. However, it is soon gone and there is no way to know it was there (Sternberg & Sternberg, 2012). Short term memory holds information for slightly longer periods of time, but still has a limited capacity. According to Linden (2007), "The capacity of STM had initially been estimated at "seven plus or minus two" items (Miller 1956), which fits the observation from neuropsychological testing that the average digit span of healthy adults is about seven (Cowan and others 2005). However, it emerged that these numbers of items can only be retained if they are grouped into so-called chunks, using perceptual or conceptual associations between individual stimuli." Its duration is of 5–20 seconds before it is out of the subject's mind. This occurs often with names of people newly introduced to. Images or information based on meaning are stored here as well, but it decays without rehearsal or repetition of such information. On the other hand, long-term memory has a potentially unlimited capacity (Sternberg & Sternberg, 2012) and its duration is as good as indefinite. Although sometimes it is difficult to access, it encompasses everything learned until this point in time. One might become forgetful or feel as if the information is on the tip of the tongue.

Cognitive development theory

Another approach to viewing the ways in which information is processed in humans was suggested by Jean Piaget in what is called the Piaget's Cognitive Development Theory (Presnell, 1999). Piaget developed his model based on development and growth. He identified four different stages between different age brackets characterized by the type of information and by a distinctive thought process. The four stages are: the sensorimotor (from birth to 2 years), preoperational (2–6 years), concrete operational (6–11 years), and formal operational periods (11 years and older). During the sensorimotor stage, newborns and toddlers rely on their senses for information processing to which they respond with reflexes. In the preoperational stage, children learn through imitation and remain unable to take other people's point of view. The concrete operational stage is characterized by the developing ability to use logic and to consider multiple factors to solve a problem. The last stage is the formal operational, in which preadolescents and adolescents begin to understand abstract concepts and to develop the ability to create arguments and counter arguments.

Furthermore, adolescence is characterized by a series of changes in the biological, cognitive, and social realms. In the cognitive area, it is worth noting that the brain's prefrontal cortex as well as the limbic system undergoes important changes. The prefrontal cortex is the part of the brain that is active when engaged in complicated cognitive activities such as planning, generating goals and strategies, intuitive decision-making, and metacognition (thinking about thinking). This is consistent with Piaget's last stage of formal operations (McLeod, 2010). The prefrontal cortex becomes complete between adolescence and early adulthood. The limbic system is the part of the brain that modulates reward sensitivity based on changes in the levels of neurotransmitters (e.g., dopamine) and emotions.

In short, cognitive abilities vary according to our development and stages in life. It is at the adult stage that we are better able to be better planners, process and comprehend abstract concepts, and evaluate risks and benefits more aptly than an adolescent or child would be able to.

In computing, information processing broadly refers to the use of algorithms to transform data—the defining activity of computers; [3] indeed, a broad computing professional organization is known as the International Federation for Information Processing (IFIP). It is essentially synonymous with the terms data processing or computation, although with a more general connotation. [4]

See also

Related Research Articles

Cognitive psychology is the scientific study of mental processes such as attention, language use, memory, perception, problem solving, creativity, and reasoning.

Long-term memory (LTM) is the stage of the Atkinson–Shiffrin memory model in which informative knowledge is held indefinitely. It is defined in contrast to sensory memory, the initial stage, and short-term or working memory, the second stage, which persists for about 18 to 30 seconds. LTM is grouped into two categories known as explicit memory and implicit memory. Explicit memory is broken down into episodic and semantic memory, while implicit memory includes procedural memory and emotional conditioning.

Short-term memory is the capacity for holding a small amount of information in an active, readily available state for a short interval. For example, short-term memory holds a phone number that has just been recited. The duration of short-term memory is estimated to be on the order of seconds. The commonly cited capacity of 7 items, found in Miller's Law, has been superseded by 4±1 items. In contrast, long-term memory holds information indefinitely.

Working memory is a cognitive system with a limited capacity that can hold information temporarily. It is important for reasoning and the guidance of decision-making and behavior. Working memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information. Working memory is a theoretical concept central to cognitive psychology, neuropsychology, and neuroscience.

<span class="mw-page-title-main">Cognition</span> Act or process of knowing

Cognition is the "mental action or process of acquiring knowledge and understanding through thought, experience, and the senses". It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and computation, problem-solving and decision-making, comprehension and production of language. Cognitive processes use existing knowledge and discover new knowledge.

Human intelligence is the intellectual capability of humans, which is marked by complex cognitive feats and high levels of motivation and self-awareness. Using their intelligence, humans are able to learn, form concepts, understand, and apply logic and reason. Human intelligence is also thought to encompass our capacities to recognize patterns, plan, innovate, solve problems, make decisions, retain information, and use language to communicate.

The psychology of learning refers to theories and research on how individuals learn. There are many theories of learning. Some take on a more behaviorist approach which focuses on inputs and reinforcements. Other approaches, such as theories related to neuroscience and social cognition, focus more on how the brain's organization and structure influence learning. Some psychological approaches, such as social constructivism, focus more on one's interaction with the environment and with others. Other theories, such as those related to motivation, like the growth mindset, focus more on individuals' perceptions of ability.

<span class="mw-page-title-main">Baddeley's model of working memory</span> Model of human memory

Baddeley's model of working memory is a model of human memory proposed by Alan Baddeley and Graham Hitch in 1974, in an attempt to present a more accurate model of primary memory. Working memory splits primary memory into multiple components, rather than considering it to be a single, unified construct.

<span class="mw-page-title-main">Dual-coding theory</span> Theory of cognition

Dual-coding theory is a theory of cognition that suggests that the mind processes information along two different channels; verbal, and visual. It was hypothesized by Allan Paivio of the University of Western Ontario in 1971. In developing this theory, Paivio used the idea that the formation of mental images aids learning through the picture superiority effect.

Cognitive development is a field of study in neuroscience and psychology focusing on a child's development in terms of information processing, conceptual resources, perceptual skill, language learning, and other aspects of the developed adult brain and cognitive psychology. Qualitative differences between how a child processes their waking experience and how an adult processes their waking experience are acknowledged. Cognitive development is defined as the emergence of the ability to consciously cognize, understand, and articulate their understanding in adult terms. Cognitive development is how a person perceives, thinks, and gains understanding of their world through the relations of genetic and learning factors. There are four stages to cognitive information development. They are, reasoning, intelligence, language, and memory. These stages start when the baby is about 18 months old, they play with toys, listen to their parents speak, they watch TV, anything that catches their attention helps build their cognitive development.

Information processing theory is the approach to the study of cognitive development evolved out of the American experimental tradition in psychology. Developmental psychologists who adopt the information processing perspective account for mental development in terms of maturational changes in basic components of a child's mind. The theory is based on the idea that humans process the information they receive, rather than merely responding to stimuli. This perspective uses an analogy to consider how the mind works like a computer. In this way, the mind functions like a biological computer responsible for analyzing information from the environment. According to the standard information-processing model for mental development, the mind's machinery includes attention mechanisms for bringing information in, working memory for actively manipulating information, and long-term memory for passively holding information so that it can be used in the future. This theory addresses how as children grow, their brains likewise mature, leading to advances in their ability to process and respond to the information they received through their senses. The theory emphasizes a continuous pattern of development, in contrast with cognitive-developmental theorists such as Jean Piaget's theory of cognitive development that thought development occurs in stages at a time.

<span class="mw-page-title-main">Executive functions</span> Cognitive processes necessary for control of behavior

In cognitive science and neuropsychology, executive functions are a set of cognitive processes that are necessary for the cognitive control of behavior: selecting and successfully monitoring behaviors that facilitate the attainment of chosen goals. Executive functions include basic cognitive processes such as attentional control, cognitive inhibition, inhibitory control, working memory, and cognitive flexibility. Higher-order executive functions require the simultaneous use of multiple basic executive functions and include planning and fluid intelligence.

In psychology and cognitive neuroscience, pattern recognition describes a cognitive process that matches information from a stimulus with information retrieved from memory.

Echoic memory is the sensory memory that registers specific to auditory information (sounds). Once an auditory stimulus is heard, it is stored in memory so that it can be processed and understood. Unlike most visual memory, where a person can choose how long to view the stimulus and can reassess it repeatedly, auditory stimuli are usually transient and cannot be reassessed. Since echoic memories are heard once, they are stored for slightly longer periods of time than iconic memories. Auditory stimuli are received by the ear one at a time before they can be processed and understood.

Domain-general learning theories of development suggest that humans are born with mechanisms in the brain that exist to support and guide learning on a broad level, regardless of the type of information being learned. Domain-general learning theories also recognize that although learning different types of new information may be processed in the same way and in the same areas of the brain, different domains also function interdependently. Because these generalized domains work together, skills developed from one learned activity may translate into benefits with skills not yet learned. Another facet of domain-general learning theories is that knowledge within domains is cumulative, and builds under these domains over time to contribute to our greater knowledge structure. Psychologists whose theories align with domain-general framework include developmental psychologist Jean Piaget, who theorized that people develop a global knowledge structure which contains cohesive, whole knowledge internalized from experience, and psychologist Charles Spearman, whose work led to a theory on the existence of a single factor accounting for all general cognitive ability.

Neo-Piagetian theories of cognitive development criticize and build upon Jean Piaget's theory of cognitive development.

Unitary theories of memory are hypotheses that attempt to unify mechanisms of short-term and long-term memory. One can find early contributions to unitary memory theories in the works of John McGeoch in the 1930s and Benton Underwood, Geoffrey Keppel, and Arthur Melton in the 1950s and 1960s. Robert Crowder argued against a separate short-term store starting in the late 1980s. James Nairne proposed one of the first unitary theories, which criticized Alan Baddeley's working memory model, which is the dominant theory of the functions of short-term memory. Other theories since Nairne have been proposed; they highlight alternative mechanisms that the working memory model initially overlooked.

Sex differences in cognition are widely studied in the current scientific literature. Biological and genetic differences in combination with environment and culture have resulted in the cognitive differences among males and females. Among biological factors, hormones such as testosterone and estrogen may play some role mediating these differences. Among differences of diverse mental and cognitive abilities, the largest or most well known are those relating to spatial abilities, social cognition and verbal skills and abilities.

<span class="mw-page-title-main">Juan Pascual-Leone</span>

Juan Pascual-Leone is a developmental psychologist and founder of the neo-Piagetian approach to cognitive development. He introduced this term into the literature and put forward key predictions about developmental growth of mental attention and working memory.

Social cognitive neuroscience is the scientific study of the biological processes underpinning social cognition. Specifically, it uses the tools of neuroscience to study "the mental mechanisms that create, frame, regulate, and respond to our experience of the social world". Social cognitive neuroscience uses the epistemological foundations of cognitive neuroscience, and is closely related to social neuroscience. Social cognitive neuroscience employs human neuroimaging, typically using functional magnetic resonance imaging (fMRI). Human brain stimulation techniques such as transcranial magnetic stimulation and transcranial direct-current stimulation are also used. In nonhuman animals, direct electrophysiological recordings and electrical stimulation of single cells and neuronal populations are utilized for investigating lower-level social cognitive processes.

References

  1. "Definition of information processing". The Free Dictionary. Princeton University. 2012. Retrieved July 26, 2016.
  2. Atkinson, R.C.; Shiffrin, R.M. (1968). "Human memory: A proposed system and its control processes". The Psychology of Learning and Motivation. New York: Academic Press. pp. 89–195.
  3. Illingworth, Valerie (11 December 1997). Dictionary of Computing . Oxford Paperback Reference (4th ed.). Oxford University Press. p.  241. ISBN   9780192800466.
  4. Anthony Ralston (2000). Encyclopedia of computer science. Nature Pub. Group. ISBN   978-1-56159-248-7.

Bibliography