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An example of the PDP model is illustrated in Rumelhart's book 'Parallel Distributed Processing' of individuals who live in the same neighborhood and are part of different gangs. Other information is also included, such as their names, age group, marital status, and occupations within their respective gangs.
The second wave blossomed in the late 1980s, following a 1987 book about Parallel Distributed Processing by James L. McClelland, David E. Rumelhart et al., which introduced a couple of improvements to the simple perceptron idea, such as intermediate processors (now known as "hidden layers") alongside input and output units, and used a sigmoid ...
TRACE was created during the formative period of connectionism, and was included as a chapter in Parallel Distributed Processing: Explorations in the Microstructures of Cognition. [3] The researchers found that certain problems regarding speech perception could be conceptualized in terms of a connectionist interactive activation model.
Feature integration theory is a theory of attention developed in 1980 by Anne Treisman and Garry Gelade that suggests that when perceiving a stimulus, features are "registered early, automatically, and in parallel, while objects are identified separately" and at a later stage in processing. The theory has been one of the most influential ...
For example, Shultz and Lepper (1996) noted that in thinking about cognitive dissonance in terms of parallel constraint satisfaction processes, it becomes clear that cognitive consistency phenomena—such as those studied by dissonance researchers—are not the result of atypical or unusual cognitive processes but rather are the direct result ...
David Everett Rumelhart (June 12, 1942 – March 13, 2011) [1] was an American psychologist who made many contributions to the formal analysis of human cognition, working primarily within the frameworks of mathematical psychology, symbolic artificial intelligence, and parallel distributed processing.
A further distinction is whether the architecture is centralized, with a neural correlate of a processor at its core, or decentralized (distributed). Decentralization has become popular under the name of parallel distributed processing in mid-1980s and connectionism, a prime example being the neural network.
This is based on the idea that word processing is significantly faster than color processing. In a condition where there is a conflict regarding words and colors (e.g., Stroop test), if the task is to report the color, the word information arrives at the decision-making stage before the color information which presents processing confusion.