Cognitive science
Adapted from Wikipedia · Discoverer experience
Cognitive science is the scientific study of the mind and how it works. It looks at many important mental abilities, such as seeing, remembering, paying attention, thinking, talking, and feeling emotions. To learn about these abilities, scientists use ideas and methods from many different areas of study, including psychology, philosophy, artificial intelligence, neuroscience, linguistics, and anthropology.
This science tries to understand how our minds handle information, make decisions, and solve problems. It studies everything from simple actions like learning to complex ones like planning and reasoning. One big idea in cognitive science is that thinking can be seen as using special structures in the mind and following certain steps to work with those structures.
By bringing together knowledge from many fields, cognitive science helps us learn how our brains and minds really work, giving us new ways to understand human thought and behavior.
History
Cognitive science began in the 1950s during what is called the cognitive revolution. People have thought about the mind for a long time, with early ideas coming from ancient Greek thinkers like Plato and Aristotle.
In the 1930s and 1940s, scientists studying how machines work helped shape early ideas about the mind. Important figures like Warren McCulloch and Walter Pitts created models inspired by how brain cells work together.
The development of computers in the 1940s and 1950s also influenced cognitive science. Smart minds like Alan Turing and John von Neumann helped create the modern computer, which became a key tool for studying how the mind works.
In 1959, Noam Chomsky challenged common ideas in psychology, arguing that understanding language needed new approaches. The term "cognitive science" was first used in 1973. Schools and groups dedicated to this field began appearing in the 1970s and 1980s, with University of California, San Diego starting the first department in 1986.
As computers became more common, researchers tried to make programs that mimic how people think and solve problems. Later, new methods using networks of connected units became popular. Today, scientists continue to explore how the mind works, using both old and new ideas.
Principles
Cognitive science looks at how the mind works by studying it from different angles. For example, imagine trying to remember a phone number. One way to study this is by watching how people behave — like asking someone to repeat the number after a while. Another way is to look at what happens inside the brain, such as watching tiny brain cells called neurons fire. But neither way alone tells the whole story. To truly understand how remembering works, scientists need to see how these different levels connect.
This field brings together many areas of study, like psychology, neuroscience, linguistics, and computer science. They all work together to learn about how the mind interacts with the world around us. Some think that even machines can have “mind-like” qualities, depending on what they’re designed to do.
Scope
Cognitive science is a big field that looks at how the mind works. It studies many parts of thinking, like how we remember, learn, and understand language.
Some older ideas in cognitive science did not focus much on feelings, the body, or how animals think. But now, scientists look at all these things more. They study how our bodies and the world around us help us think. This includes how our feelings, movements, and even our gut help us understand things.
Cognitive science also looks at how we pay attention, which means choosing what to focus on from all the things around us. It studies how we learn and develop from babies to adults, and how we remember information. Finally, it explores how we see, hear, and act on the world, and also what it means to be aware or conscious.
Research methods
Many different ways are used to study cognitive science. Because this field combines many areas, research often uses methods from psychology, neuroscience, computer science, and systems theory.
Behavioral experiments
To learn about smart behavior, scientists study behavior itself. This type of research is linked to cognitive psychology and psychophysics. By watching how people react to different things, we can learn how their minds process information. Scientists measure how long it takes to respond to something, which can show differences in thinking. They also study how people judge things like sound loudness or color brightness.
Brain imaging
Main article: Neuroimaging
Brain imaging looks at brain activity while people do tasks. This helps us connect behavior with brain function. Different imaging methods show us where and when brain activity happens. For example, some methods show exact places in the brain, while others show timing better.
Computational modeling
See also: Computational cognition and Cognitive model
Computational models use math and logic to represent problems. Computer models help us understand how intelligence works. These models can focus on abstract thinking or how the brain processes information.
Neurobiological methods
Research from neuroscience and neuropsychology helps us understand how intelligence works in the brain. These methods include studying brain cells and testing with animals.
Key findings
Cognitive science has helped us understand how people think and make decisions. It has influenced areas like money-related behavior in economics and the study of how we understand numbers. It also plays a role in creating smart machines and studying how we communicate and learn.
This science has improved our knowledge of how the brain works, from how we speak to how we see and hear. It has also helped explain why some people have trouble with reading, seeing, or noticing things on one side.
Notable researchers
Some well-known thinkers in cognitive science come from many areas of study. In philosophy, Daniel Dennett looks at the mind from a computer-like view, John Searle is famous for his Chinese room idea, and Jerry Fodor supports the idea of functionalism.
Other important figures include David Chalmers, who talks about Dualism and the tricky question of the hard problem of consciousness, and Douglas Hofstadter, known for his book Gödel, Escher, Bach, which explores how we think and use words.
In language studies, Noam Chomsky and George Lakoff have had big impacts. In the field of artificial intelligence, Marvin Minsky, Herbert A. Simon, and Allen Newell are key figures.
Well-known names in psychology include George A. Miller, James McClelland, Philip Johnson-Laird, Lawrence Barsalou, Vittorio Guidano, Howard Gardner, and Steven Pinker. Anthropologists like Dan Sperber, Edwin Hutchins, Bradd Shore, James Wertsch, and Scott Atran work together with psychologists and others to understand culture, beliefs, and how societies form.
People such as David Rumelhart, James McClelland, and Philip Johnson-Laird have created computer models to explain thinking.
| Name | Year of birth | Year of contribution | Contribution(s) |
|---|---|---|---|
| David Chalmers | 1966 | 1995 | Dualism, hard problem of consciousness |
| Daniel Dennett | 1942 | 1987 | Offered a computational systems perspective (multiple drafts model) |
| John Searle | 1932 | 1980 | Chinese room |
| Douglas Hofstadter | 1945 | 1979 | Gödel, Escher, Bach |
| Jerry Fodor | 1935 | 1968, 1975 | Functionalism |
| Alan Baddeley | 1934 | 1974 | Baddeley's model of working memory |
| Marvin Minsky | 1927 | 1970s, early 1980s | Wrote computer programs in languages such as LISP to attempt to formally characterize the steps that human beings go through, such as making decisions and solving problems |
| Christopher Longuet-Higgins | 1923 | 1973 | Coined the term cognitive science |
| Noam Chomsky | 1928 | 1959 | Published a review of B.F. Skinner's book Verbal Behavior which began cognitivism against then-dominant behaviorism |
| George Miller | 1920 | 1956 | Wrote about the capacities of human thinking through mental representations |
| Herbert Simon | 1916 | 1956 | Co-created Logic Theory Machine and General Problem Solver with Allen Newell, EPAM (Elementary Perceiver and Memorizer) theory, and organizational decision-making |
| John McCarthy | 1927 | 1955 | Coined the term artificial intelligence and organized the famous Dartmouth conference in Summer 1956, which started AI as a field |
| McCulloch and Pitts | 1930s–1940s | Developed early artificial neural networks | |
| Lila R. Gleitman | 1929 | 1970s-2010s | Wide-ranging contributions to understanding the cognition of language acquisition, including syntactic bootstrapping theory |
| Eleanor Rosch | 1938 | 1976 | Development of the Prototype Theory of categorisation |
| Philip N. Johnson-Laird | 1936 | 1980 | Introduced the idea of mental models in cognitive science |
| Dedre Gentner | 1944 | 1983 | Development of the Structure-mapping Theory of analogical reasoning |
| Allen Newell | 1927 | 1990 | Development of the field of Cognitive architecture in cognitive modelling and artificial intelligence |
| Annette Karmiloff-Smith | 1938 | 1992 | Integrating neuroscience and computational modelling into theories of cognitive development |
| David Marr (neuroscientist) | 1945 | 1990 | Proponent of the Three-Level Hypothesis of levels of analysis of computational systems |
| Peter Gärdenfors | 1949 | 2000 | Creator of the conceptual space framework used in cognitive modeling and artificial intelligence. |
| Linda B. Smith | 1951 | 1993 | Together with Esther Thelen, created a dynamical systems approach to understanding cognitive development |
Epistemics
Epistemics is a term created in 1969 at the University of Edinburgh when they started a special school called the School of Epistemics. It is different from epistemology, which is the study of knowledge in philosophy. Epistemics looks at knowledge in a scientific way.
Some thinkers have described epistemics as building models to understand how we think, learn, and share ideas. Later, the School of Epistemics changed its name to The Centre for Cognitive Science, and in 1998, it became part of the University of Edinburgh's School of Informatics.
Binding problem in cognitive science
Main article: Binding problem
Cognitive science tries to understand how our minds work together as one. It looks at how different parts of the brain work at the same time and how they come together to help us see, think, and talk. One big question is how the brain connects simple pieces of information, like colors and shapes, into a full picture of what we see. Some scientists think that the brain uses timing to link these pieces together, like a rhythm that helps everything fit.
Even though we have learned a lot, there is still much we don’t know about how our minds start working when we are very young. Some ideas suggest that very young babies might struggle to make sense of all the signals they receive from the world around them.
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