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An Algebraic Framework for Solving Proportional
An Algebraic Framework for Solving Proportional

... analogy, the inferred relation is the cause relation. In contrast to proportional analogy, typically not the complete patterns but only a sub-structure of the base domain is mapped to the target (Schmid, Wirth, & Polkehn, 2003). Furthermore, predictive analogy is typically called between-domain, whi ...
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... Neurons aren’t found only in the brain. If they are spread all throughout the human body, how are they kept separated? The answer is simple. One special type of glial cell, called a Schwann cell, generates a layer of fatty substances called myelin. Myelin wraps around the shaft of the axons, forming ...
Oscillatory Neural Fields for Globally Optimal Path Planning
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... The work reported here is related to resistive grid approaches for solving optimization problems (Chua, 1984). Resistive grid approaches may be viewed as "passive" relaxation methods, while the oscillatory neural field is an "active" approach. The primary virtue of the "active" approach lies in the ...
Meinongian Semantics and Artificial Intelligence
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... able to delineate the additional axonal targets of these neurons, we suggest that these SGC neurons belong to the small subgroup that projects along the CTB. This assumption is based on several lines of evidence: (1) in their morphological features (soma size and multipolar organization with dendrit ...
click here for PDF
click here for PDF

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... and DNS leave a distinctive morphological stamp on specific brain regions. Past MRI studies of brain volumes were performed on a group of matched adolescents and young adults with WMS and DNS (Bellugi, Hickok, Lai, & Jernigan, 1997; Jernigan & Bellugi, 1990, 1994). Neuromorphological characterizatio ...
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... Tutankhamen was mummified more than 3300 years ago, four vital organs were carefully preserved in jars in his tomb — the liver, lungs, stomach and intestines. There was no jar for his heart. The Egyptians believed the heart held the mind and soul and was the source of all wisdom as well as memory, e ...
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Embodied cognitive science

For approaches to cognitive science that emphasize the embodied mind, see Embodied cognitionEmbodied Cognitive Science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: 1) the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity, 2) the formation of a common set of general principles of intelligent behavior, and 3) the experimental use of robotic agents in controlled environments.Embodied cognitive science borrows heavily from embodied philosophy and the related research fields of cognitive science, psychology, neuroscience and artificial intelligence. From the perspective of neuroscience, research in this field was led by Gerald Edelman of the Neurosciences Institute at La Jolla, the late Francisco Varela of CNRS in France, and J. A. Scott Kelso of Florida Atlantic University. From the perspective of psychology, research by Michael Turvey, Lawrence Barsalou and Eleanor Rosch. From the perspective of language acquisition, Eric Lenneberg and Philip Rubin at Haskins Laboratories. From the perspective of autonomous agent design, early work is sometimes attributed to Rodney Brooks or Valentino Braitenberg. From the perspective of artificial intelligence, see Understanding Intelligence by Rolf Pfeifer and Christian Scheier or How the body shapes the way we think, also by Rolf Pfeifer and Josh C. Bongard. From the perspective of philosophy see Andy Clark, Shaun Gallagher, and Evan Thompson.Turing proposed that a machine may need a human-like body to think and speak:It can also be maintained that it is best to provide the machine with the best sense organs that money can buy, and then teach it to understand and speak English. That process could follow the normal teaching of a child. Things would be pointed out and named, etc. Again, I do not know what the right answer is, but I think both approaches should be tried (Turing, 1950).↑
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