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Computational Art
Computational Art

... interpretation of the symbols from their representation. It enables us to manipulate formally the representations according to some formal rules without having to worry about the semantic content of the representations, provided that the rules are well chosen. The success of the computational model ...
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understanding anatomy: a primer for lawyers
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... Muscles are responsible for movement of the body and these structures constitute 40 percent of the body's weight. Since muscles can only contract, they frequently work in pairs so that a person can raise and lower an arm or leg. There are three types of muscle tissue: skeletal, smooth and cardiac. S ...
Build a neuron - Wake Forest University
Build a neuron - Wake Forest University

... Depending on the age and background of the participants you may need to explain the following concepts: • The body is made up of cells. • Each body part has different kinds of cells that perform different functions. The body’s nervous system is made up of specialized cells called nerve cells or neur ...
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... the brain by way of the senses (touch, smell, see, etc.)  Integration: the interpretation or translation of ...
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... the Advancement of Artificial Intelligence (AAAI). I think that everyone who serves begins with great trepidation but leaves with a sense of satisfaction. I certainly did. One of the sources of satisfaction was the opportunity to give the presidential address at AAAI-07 in Vancouver, my hometown. Th ...
Lecture 1
Lecture 1

... and processing of sensory information) and act on the world around us (motor functions); However, in between sensing and acting on the world we process a lot of information ? We will see that in general, these divisions between sensory, motor and association areas are present throughout the nervous ...
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2010 AAAI Fall Symposium Series

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Reports Tab Components - Computer Science & Engineering

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... can detect changes in their environment and respond to stimuli using receptor proteins embedded in their cell membranes. • For example, an amoeba can follow a bacteria based on the trail of metabolic wastes the bacteria is giving off. • These waste molecules bind to the amoeba’s chemoreceptors allow ...
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... "Intelligence denotes the ability of an individual to adapt his thinking to new demands; it is the common mental adaptability to new tasks and conditions of life" (William Stern, 1912) Being "intelligent" means to be able to cognitively grasp phenomena, being able to judge, to trade of between diffe ...
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sv-lncs - The USC Brain Project - University of Southern California
sv-lncs - The USC Brain Project - University of Southern California

... concerned with its relevance to the ongoing behavior of an embodied agent be it frog, rat, monkey, human or robot [1, 2] – we view vision under the general rubric of action-oriented perception, as the “active organism” seeks from the world the information it needs to pursue its chosen course of acti ...
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SM-718: Artificial Intelligence and Neural Networks Credits: 4 (2-1-2)
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... Objective: The main objective is to help students to understand the fundamentals of Artificial Intelligence for design intelligent System. COURSE DESCRIPTION: UNIT I: Introduction to artificial intelligence, History of AI, production system, Problem solving: Characteristics of production systems, St ...
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... Science formally acknowledges that human have at least 11 senses and some list 19 or more. • Input receptor which provides information to the brain. • 12 pairs of cranial nerves branching out from the brain assist in this. • Dependent on 6 senses, all which directly have direct connections to the b ...
Proposal for Ph.D. General Exams
Proposal for Ph.D. General Exams

... Deep Computer Models of Cognition Examiner Pattie Maes Associate Professor MIT Media Laboratory Description The main area of this exam covers work in cognitive AI that puts forth models of human cognition, covering various issues such as knowledge representation, reasoning, behavior, affect, and lea ...
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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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