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Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...
Intelligence tests and psychometrics have generally found high correlations between different aspects of intelligence, rather than the low correlations which Gardner's theory predicts, supporting the prevailing theory of general intelligence rather than multiple intelligences (MI). [1]
Another contemporary construction of three "spaces" is that one space is the domestic sphere: the family and the home; [11] a second space is the sphere of civic engagement including school, work and other forms of public participation; and set against these is a Third Space where individual, sometimes professional, [12] [13] and sometimes ...
Gardner's theory of multiple intelligences can be seen as both a departure from and a continuation of the 20th century's work on the subject of human intelligence. Other prominent psychologists whose contributions variously developed or expanded the field of study include Charles Spearman, Louis Thurstone, Edward Thorndike, and Robert Sternberg.
Spatial intelligence is an area in the theory of multiple intelligences that deals with spatial judgment and the ability to visualize with the mind's eye. It is defined by Howard Gardner as a human computational capacity that provides the ability or mental skill to solve spatial problems of navigation, visualization of objects from different angles and space, faces or scenes recognition, or to ...
Sentient is a heavily classified artificial intelligence satellite intelligence analysis system of the United States Intelligence Community, operated by the National Reconnaissance Office (NRO) and developed by their Advanced Systems and Technology Directorate (AS&T), with the United States Air Forces Research Laboratory at Wright-Patterson Air Force Base and the Department of Energy's ...
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A video or an image sequence represented as a third-order tensor of column x row x time for multilinear subspace learning. Multilinear subspace learning is an approach for disentangling the causal factor of data formation and performing dimensionality reduction.