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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.
Parallel constraint satisfaction processes can be applied to three broad areas in social psychology: [1] Impression formation and causal attribution; Cognitive consistency; Goal-directed behavior. This approach revealed that some phenomena that seem unexpected or counterintuitive are in actuality due to the normal functioning of the cognitive ...
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.
Computational cognition (sometimes referred to as computational cognitive science or computational psychology or cognitive simulation) is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. In psychology, it is an approach which develops computational models ...
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.
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 ...
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.
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.