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Adaptive resonance theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information.It describes a number of artificial neural network models which use supervised and unsupervised learning methods, and address problems such as pattern recognition and prediction.
In psychology and cognitive neuroscience, pattern recognition is a cognitive process that matches information from a stimulus with information retrieved from memory. [1]Pattern recognition occurs when information from the environment is received and entered into short-term memory, causing automatic activation of a specific content of long-term memory.
Pandemonium architecture is a theory in cognitive science that describes how visual images are processed by the brain. It has applications in artificial intelligence and pattern recognition. The theory was developed by the artificial intelligence pioneer Oliver Selfridge in 1959. It describes the process of object recognition as the exchange of ...
Other methods of stimulating initial interest that can lead to emotion involves pattern recognition. Symmetry is often found in works of art, and the human brain unconsciously searches for symmetry for a number of reasons. Potential predators were bilaterally symmetrical, as were potential prey. Bilateral symmetry also exists in humans, and a ...
The Psychology of Art (1925) by Lev Vygotsky (1896–1934) is another classical work. Richard Müller-Freienfels was another important early theorist. [8] The work of Theodor Lipps, a Munich-based research psychologist, played an important role in the early development of the concept of art psychology in the early decade of the twentieth century.
Theories of aesthetic response [1] or functional theories of art [2] are in many ways the most intuitive theories of art. At its base, the term "aesthetic" refers to a type of phenomenal experience, and aesthetic definitions identify artworks with artifacts intended to produce aesthetic experiences. Nature can be beautiful and it can produce ...
Form perception is the recognition of visual elements of objects, specifically those to do with shapes, patterns and previously identified important characteristics. An object is perceived by the retina as a two-dimensional image, [1] but the image can vary for the same object in terms of the context with which it is viewed, the apparent size of the object, the angle from which it is viewed ...
Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power. Pattern recognition systems are commonly trained from labeled "training" data.