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abstract - Empathies
abstract - Empathies

... studies  of  self-­‐control  and  then  describe  her  research  on  the  neural  connections  and   information  processing  mechanisms  that  are  important  for  making  better  long-­‐term  dietary   choices.     ...
Chapter 1 Powerpoints - People Server at UNCW
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... 8. The use of meta-level knowledge to effect more sophisticated control of problem solving strategies. Although this is a very difficult problem, addressed in relatively few current systems, it is emerging as an essential area of research. ...
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... Supervisor: Dr. Anthony N. Burkitt. Studied single neuron modeling of Cochlear Nucleus neurons which play a role in the temporal processing of auditory signals. The model provided an analytical and numerical solution of how the temporal processing efficacy of these neurons was affected by the phase ...
1 Central Nervous System: Brain one of largest organs in body (~3
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... neurons divide only during prenatal development and a few months after birth after that they increase in size, but not numbers one of most metabolically active organs in body comprises only 2% of total body weight it consumes 20% of our oxygen need at rest (more when mentally active) blood flow and ...
Following the discussion about mirror neurons and imagery we want
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... focalize the relationships between imitative decodification (Ruggieri, Fiorenza, Sabatini, 1986) and imagery process. Our psycho-physiological model tries to integrate different functional levels of the organism in a unitary system, where sensations, emotional, cognitive processes, manipulative rela ...
Intelligent Agents - University of Washington
Intelligent Agents - University of Washington

... • Key idea: Occam’s Rasor: We want the simplest possible system that generalizes well (given a choice between two systems that perform equally on a given data set, we choose the simpler one) ...
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The History of Artificial Intelligence

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A Philosophical Encounter - School of Computer Science, University
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Evolutionary Robotics
Evolutionary Robotics

... seeded with some prior knowledge in the form of solutions we think are good starting points.  Selection - measure the performance of each solution in the population. The performance, termed fitness in evolutionary terminology, captures the merit of the design with respect to some target performance ...
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Introduction to Neuroscience

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Brain matters in multiple sclerosis
Brain matters in multiple sclerosis

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Reasoning robot, involved tasks/modules and robot world
Reasoning robot, involved tasks/modules and robot world

... computationalism, which hold that the mind may be viewed as an information processing system operating on formal symbols. The argument applies only to digital computers and does not apply to machines in general. ...
The Nervous System
The Nervous System

... “responds” to internal and external stimuli – “Your nervous system is how your body communicates within itself and with the outside world” ...
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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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