Cognitive science
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What is cognitive science?
Cognitive science is the interdisciplinary, scientific study of the mind and intelligence, examining thinking processes such as perception, problem-solving, learning, language use, decision-making, and emotional experiences. It integrates ideas and methods from diverse fields like psychology, linguistics, philosophy, computer science, artificial intelligence (AI), neuroscience, and anthropology.
The origins of cognitive science can be traced to the mid-1950s, when researchers began to apply the theory of computation to explain human thought. The term cognitive science was not formally used until the 1970s.
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What does cognitive science study?
Cognitive science is an interdisciplinary field that scientifically studies the mind and intelligence. It combines insights and methodologies from diverse fields such as psychology, linguistics, philosophy, computer science, artificial intelligence, neuroscience, and anthropology. Cognitive scientists explore various aspects of thinking, including perception, problem-solving, learning, decision-making, language use, and emotional experience, to understand how the mind works. The goal is to develop empirical evidence and theories about mental processes, using approaches like rule-based models, connectionist models, and theoretical neuroscience.
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Which subjects or fields are combined in cognitive science?
Cognitive science is an interdisciplinary field that investigates the mind and intelligence, using ideas and methods from psychology, linguistics, philosophy, computer science, artificial intelligence (AI), neuroscience, and anthropology. It addresses many kinds of thinking, including those involved in perception, problem-solving, learning, decision-making, language use, and emotional experience. Cognitive science treats the mind as material, collecting empirical evidence and developing theories to explain it.
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How do scientists use experiments to learn about thinking and learning?
Cognitive scientists use experiments to study mental processes and how we think and learn. These experiments involve collecting empirical evidence through observation, like studying language comprehension, social interaction, and emotional experiences.
Researchers also use diverse methods like questionnaires, interviews, and direct observation to study behavior and mental processes. Brain scans and other techniques help investigate the neural activity that occurs during different types of thought. Computer models are constructed to mimic the entities and processes of the hypothesis. If the computerās output is similar to human performance, the hypothesis is supported.
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How does cognitive science help us understand how the brain works?
Cognitive science uses interdisciplinary scientific investigations of the mind and intelligence to understand how the brain works. It treats the mind as material and collects empirical evidence about mental processes from various disciplines, such as psychology, linguistics, neuroscience, and anthropology. Computer science contributes via the concept of computation, which helps in developing ideas about thinking as a natural process, while functional magnetic resonance imaging (fMRI) helps monitor brain activity during tasks. Cognitive science identifies the processes involved in thinking, creating models that resemble computer program flowcharts more than neural networks.
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What are some real-life uses of research from cognitive science?
Cognitive science research has many real-world applications that improve daily life. Empirical theories of the mind are invaluable in guiding practice in many applied domains, including education, operations research, and human resources. It is also used in engineering, in particular the design of tools and other devices that can be used effectively without placing excessive demands on peopleās mental capacities.
Cognitive-behavior therapy (CBT) helps people change how they think and feel about themselves and others by identifying and changing negative, inaccurate, or maladaptive beliefs and thought patterns through a combination of cognitive and behavior therapy. Artificial intelligence is also an area of research that goes back to the very beginnings of computer science.
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Cognitive science, the interdisciplinary scientific investigation of the mind and intelligence. It encompasses the ideas and methods of psychology, linguistics, philosophy, computer science, artificial intelligence (AI), neuroscience (see neurology), and anthropology. The term cognition, as used by cognitive scientists, refers to many kinds of thinking, including those involved in perception, problem solving, learning, decision making, language use, and emotional experience.
Nature and significance
According to some early modern philosophical theories and commonsense views, minds are not amenable to scientific study because they are immaterial or supernatural, as are souls and spirits (see mind-body dualism). Cognitive science, in contrast, treats the mind as wholly material. It aims to collect empirical evidence bearing on mental processes and phenomena and to develop theories that explain that evidence, which can come from many disciplines. Psychologists, for example, collect behavioral evidence in studies of language comprehension, inference making, social interaction, and emotional experience. Linguists systematically gather evidence about how people produce and understand sentences that are well-structured and meaningful. Neuroscientists use brain scans and other techniques to investigate the neural activity that accompanies different kinds of thought. And anthropologists study the nature of cognition as it occurs in many different cultural contexts.
The contributions of philosophy and computer science to the investigation of cognition are primarily theoretical. Philosophy asks very general questions about the nature of knowledge (epistemology), reality (metaphysics), and morality (ethics), among other topics. Many of these questions are directly relevant to how the mind works or to how it might work better. For example, a central epistemological question is how minds gain knowledge of the external world, and a central metaphysical question is whether mind and body are fundamentally different kinds of things.
Computer science has been very important in cognitive science for two reasons. First, the notion of computation has been invaluable for developing ideas about how thinking might be a natural process. Previously, scientific theories of the mind relied on clumsy and unproductive analogies with mechanical devices such as clocks and electronic switchboards. The advent of computer programs made it possible to see how a mechanical device could solve complex problems by manipulating symbols, or representations, according to algorithmic procedures (computations), generating productive analogies for how minds might work in similar ways. Standard programming languages, for example, allowed for sequences of āIFā¦THENā¦ā instructions, which suggest a model of how people make plans (see below Approaches). Second, computers themselves have been useful for testing scientific hypotheses about mental organization and functioning. A given hypothesis is modeled in a program by constructing algorithms that mimic the entities and processes the hypothesis proposes. The program is then run on a computer, and if the computerās output is similar in appropriate ways to real human performance, the hypothesis is considered to be supported.
Empirical theories of the mind are invaluable for guiding practice in many applied domains, including education, or pedagogy (see also educational psychology); operations research and human resources management; and engineering, in particular the design of tools and other devices that can be used effectively without placing excessive demands on peopleās mental capacities (see human-factors engineering). Legal and medical reasoning (the reasoning involved in diagnosing and treating illness) also have been investigated by means of both psychological experiments and computational models. Cognitive science is particularly central to medicine because of the importance of mental illnesses such as depression and schizophrenia, whose explanation and treatment require an understanding of the cognitive and neural processes that underlie the operations of healthy minds.
Antecedents and early development
Attempts to understand the mind can be traced to the ancient Greeks, most notably to Plato and Aristotle. Of the two, Aristotle was the more scientific, tying his theories about mental processes more closely to observation than to abstract speculation. With the rise of modern science in the 17th and 18th centuries, philosophers such as John Locke and David Hume attempted to develop accounts of mental operations that would be as objective as Newtonian physics, but their efforts were hampered by a lack of robust experimental methods and theoretical ideas.
Scientific psychology did not arise until the mid-19th century, when the German physiologist Wilhelm Wundt and others developed more rigorous methods for conducting psychological experiments. In the 1920s and ā30s, much research in psychology and linguistics, among other social sciences, was dominated by an ultraexperimental approach called behaviourism, which rejected theorizing about āinvisibleā mental processes and emphasized the formulation of general laws that govern observable human behaviour. By the late 1950s, however, it had become clear that behaviourists could not even explain how rats learn to run mazes much less how humans learn complex behaviours such as those involved in language use.
The modern origins of cognitive science lie in the mid-1950s, when a brilliant group of interdisciplinary thinkers began to apply ideas from the theory of computation to the scientific explanation of human thought. The computer scientists and psychologists Herbert Simon, Allen Newell, Marvin Minsky, and John McCarthy pioneered the new field of artificial intelligence, which was founded at an academic conference at Dartmouth College in 1956 with the ultimate aim of building computers and robots that could perform tasks commonly associated with human intelligence. The psychologist George Miller and the theoretical linguist Noam Chomsky also developed computational alternatives to behaviourist theories in their fields. These six figures have since been recognized as the founders of cognitive science.
The term itself, however, was not coined until the 1970s, when the interdisciplinary field became more formally organized. During this period the Cognitive Science Society and the journal Cognitive Science were founded, and programs and departments of cognitive science were established at many universities. By the late 20th century, cognitive science had become a flourishing academic enterprise with hundreds of departments throughout the world and numerous international societies, journals, and conferences.

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