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... some form of classification, a considerable amount of ...
Presidential Address by Bruce Buchanan
Presidential Address by Bruce Buchanan

... Creative AI Programs In the literature in and about AI, several wellknown programs have been called creative (for example, Boden [1999]). In one of the papers on the logic theorist program (LT), Newell, Shaw and Simon (1958) wrote explicitly about creative behavior and the possibility that LT’s disc ...
read  - StarkeyPro
read - StarkeyPro

... For infants with “typical” sensory hearing loss, hearing aid fitting can proceed in the earliest months of life based on electrophysiological estimates (e.g., ABR, ASSR) of hearing sensitivity. For infants with AN, however, electrophysiological methods do not predict auditory detection thresholds. C ...
07_Intelligent_Systems-ProblemSolvingMethods - Teaching-WIKI
07_Intelligent_Systems-ProblemSolvingMethods - Teaching-WIKI

... dynamic knowledge role) domain view (i.e., static knowledge role) ...
Signal Integration in Thalamus: Labeled Lines Go
Signal Integration in Thalamus: Labeled Lines Go

... given quality of information about the outside world in its pure, unadulterated form (sometimes called a ‘‘labeled line’’) as it is passed from one stage of neural processing to the next. The second way is to merge different lines of sensory information—through convergent synaptic wiring, in order t ...
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Gloster Aaron

... Gloster Aaron Fall 2016 TuesThurs 10:20-11:40 AM ...
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07_Artificial_Intelligence-ProblemSolvingMethods

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Creating a Knowledge Base From a Collaboratively Generated
Creating a Knowledge Base From a Collaboratively Generated

... further increase the performance of our coreference resolution system, as well as further bringing forward Wikipedia as a direct competitor of manuallydesigned resources such as WordNet. In order to make the task feasible, we are currently concentrating on inducing is-a vs. not-is-a semantic relatio ...
Impact on Perception, Attention, and Memory
Impact on Perception, Attention, and Memory

... that emotional targets (e.g., threatening faces, snakes, or spiders) pop out when embedded in an array of neutral distracters (e.g., friendly faces, flowers, or mushrooms) but the reverse is not true for neutral targets. It is proposed that an enhanced ability to detect a snake in a field of flowers ...
Using Expert Systems and Artificial Intelligence For Real Estate
Using Expert Systems and Artificial Intelligence For Real Estate

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... results in devastating behavioral and psychiatric disorders. Thus, understanding the neuronal mechanisms of decision formation is a central goal of cognitive neuroscience. In recent years, significant progress in the study of decision formation was made possible by the development of behavioral task ...
132194 - Radboud Repository
132194 - Radboud Repository

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Unit 4_Expert Systems and AI

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knowledge base
knowledge base

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PDF - Bentham Open
PDF - Bentham Open

... Emotion is one of the most studied subjects in many disciplines of science including psychology, physiology, philosophy, anthropology, etc., and recently in robotics. Yet, it is one of the most controversial subjects because of the differences in definition, in perception, and in perspectives, among ...
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The Specification of Agent Behavior by Ordinary People: A Case Study

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Ullman, 2004 - Brain and Language Lab
Ullman, 2004 - Brain and Language Lab

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DC Agent Configuration and Troubleshooting
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... added to the network. It stores this information in a file called dc_config.txt (located in the Websense bin directory [C:\Program Files\Websense\bin, by default] on the DC Agent machine). If you want DC Agent to use this automatic domain detection, make sure that NetBIOS is enabled on firewalls and ...
Contextual modulation of primary visual cortex by auditory signals
Contextual modulation of primary visual cortex by auditory signals

... the archetypal feedforward processing whereby a sensory stimulus generates a spiking response in its dedicated sensory cortex. This makes it more challenging to realize a functional and computational description, moreover, one which is integrated with biological constraints that we also do not yet f ...
AI Magazine - Spring 2016
AI Magazine - Spring 2016

... divided into those that propose specific tests, and those that look at the challenges inherent in building robust, valid, and reliable tests for advancing the state of the art in artificial intelligence. In the article My Computer is an Honor Student — But How Intelligent Is It? Standardized Tests a ...
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Segmentation in the perception and memory of events
Segmentation in the perception and memory of events

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Artificial Intelligence and Large-Scope Science
Artificial Intelligence and Large-Scope Science

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How is the stimulus represented in the nervous system?

... The problem comes in estimating P(v) and P(n) which may be difficult to do meaningfully, especially for natural stimuli. Thus we often work on the forward problem, estimating the response given an arbitrary stimulus, and postpone the reverse problem. There is another problem: what is the appropriate ...
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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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