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spinal cord
spinal cord

... somatosensory cortex to form a map of the body: the Homunculus Density of sensory receptive fields dictates in which proportions the body parts are represented Boundaries of this map are not ...
Central Nervous System
Central Nervous System

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Energy Saving Accounts for the Suppression of Sensory Detail
Energy Saving Accounts for the Suppression of Sensory Detail

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Artificial Intelligence

... From these, they generate a strategy for achieving the goal. In the most common cases, the strategy is just a sequence of actions. problems in the world. ...
The Evolution of the Brain Neurons are quite distinct from other body
The Evolution of the Brain Neurons are quite distinct from other body

... thermoregulation in insects and birds into wings for flight. In the same way, selection pressure was undoubtedly exerted on early hominids to become better hunters. The ability to understand the behavior of other animals and organize hunting expeditions must have been very important in the evolution ...
artificial intelligence
artificial intelligence

... It's simply interaction of a teacher (human) and the AI student. Instead of saying “It's easier to move the little boxes first”  The teacher could say “move little boxes first.” ...
Nervous System - simonbaruchcurriculum
Nervous System - simonbaruchcurriculum

... nerves. The network of nerves allows the brain to communicate with every part of the body. Nerves transmit information as electrical impulses from one area of the body to another. Some nerves carry information to the brain. This allows us to see, hear, smell, taste and touch. Other nerves carry info ...
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... Discretizing emotions all but rules out smooth and fine-grained system behaviour; it is precisely this kind of capability that is becoming of increasing importance, as the information infrastructure in general, and virtual environments in particular increasingly assume the characteristics of persist ...
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... The Markovgame (also called stochastic game (Filar & Vrieze 1997)) has been adopted as a theoretical frameworkfor multiagent reinforcement learning (Littman 1994). In a Markovgame, there are n agents, each facing a Markov decision process (MDP). All agents’ MDPsare correlated through their reward fu ...
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Part 1: The Strange Tale of Phineas Gage
Part 1: The Strange Tale of Phineas Gage

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2012 ARCHIVES -RA R IES

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... that it allows us to reconcile all disputes between cognitive and social theorists. In light of this, it is important to ask how far d-cog might be able to take us. Which aspects of science might be analyzed using a d-cog approach and which, if any, will remain out of its reach? These questions are ...
Biological Psychology
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... iological psychology (often shortened to biopsychology) can be defined as “the study of behaviour and experience in terms of genetics, evolution, and physiology, especially the physiology of the nervous system” (Kalat, 1998, p. 1). More generally, biological psychology involves using a biological ap ...
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From Imitation Learning to Innovation in Designing - Neuron
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... thinking is design fixation, where the suggestion of a particular solution makes it difficult to imagine other good solutions. Unlike many other computational search algorithms, EC methods work with populations of “fairly good” solutions. Therefore, there is less danger that creativity will be harme ...
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... The focus of this this talk will be on the next stages of development where the robot learns more complex behaviors and affordances in multi-object environments with the help of a demonstrator. Regarding to complex behavior learning, we studied how the robot can directly map demonstrated complex act ...
MIT Department of Brain and Cognitive Sciences Instructor: Professor Sebastian Seung
MIT Department of Brain and Cognitive Sciences Instructor: Professor Sebastian Seung

... Instructor: Professor Sebastian Seung ...
Ch. 50 - Ltcconline.net
Ch. 50 - Ltcconline.net

... Define sensory transduction, a receptor potential, and sensory adaptation. Illustrate each with examples. Describe the five general categories of sensory receptors found in animals. note examples of each. Identify the receptors that are responsible for mechanical and thermal perception by the skin. ...
Quantum explanations of consciousness: A “Just So” story?.
Quantum explanations of consciousness: A “Just So” story?.

... the metaphysical divide between private subjectivity and the physical world [6]. But we know that words remain active in the brain after they fade from mind. For example, we can show unconscious but stimulus-specific memory savings and habituation effects [1]. Unconscious word meanings are clearly i ...
Lindley
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... interactions, etc.). Conversely, what aspects of the physiology, structure and operation of the brain that are not captured by the concept of information processing may nevertheless be critical to achieving HLI? Or turning the last question around, which concept(s) of information processing are crit ...
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... Understand the fundamental concepts of Artificial Intelligence Understand different methods of search and optimization in AI Able to develop small application using heuristic functions to solve any search problem in AI Understand the fundamental concept of logic in AI (Search Methods, ...
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Artificial Intelligence

... To be able to process information, a computer would need to understand the information’s context ...
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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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