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CptS 440 / 540 Artificial Intelligence
CptS 440 / 540 Artificial Intelligence

... • AI needs to understand satire • An intelligent agent must be creative • Aaron, Computer Artist • Musical Intelligence ...
Agent - KDD - Kansas State University
Agent - KDD - Kansas State University

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Lecture I -- Introduction and Intelligent Agent
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Template for poster presentations
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... At present, the FFT and AR methods of feature extraction are most commonly used in BCI implementations. However, both these models are unable to describe signal information in various time windows and frequency bands. Since, EEG signals are non-stationary, a feature extraction method that would be a ...
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How the electronic mind can emulate the human mind: some

... After a neural network has been created it can be trained using one of the supervised learning algorithms (an example is back propagation), which uses the data to adjust the network's weights and thresholds so as to minimize the error in its predictions on the training set. ...
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... not receive sufficient attention in the artificial intelligence community, until the late 1990’s when SAIL robot [6][7] and Darwin V robot [8] started experiments on autonomous cognitive development. A 2001 article in Science [9] summarized the pivotal role that mental development should play in mac ...
Listening Strategies for New Media, Experience and Expection.
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Vygotsky and Cognitive Science: Language and the Unification of

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the Unit 2 study guide in PDF format.

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the Unit 2 study guide in RTF format (which you may re
the Unit 2 study guide in RTF format (which you may re

... What is the biggest problem with functional brain scans? What is a CT scan and what does it tell us about the brain? What is an MRI and what are its strengths over the CT scan? How does a PET scan work? What can a PET scan tell us about brain functioning, and what are its ...
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... offers the greatest potential rewards because it would allow people to interact with computers without needing any specialized knowledge. You could simply walk up to a computer and talk to it. Unfortunately, programming computers to understand natural languages has proved to be more difficult than o ...
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... decision making and routine activity, in directives for appropriate action. In contrast to the inference engine, the knowledge base is domain-specific and is as complicated as a cognitive skill requires. Domain knowledge is what distinguishes the ability to troubleshoot a circuit from the ability to ...
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Chapter 9: Nervous System guide—Please complete these notes on

... excitable to incoming stimulation because it received excitatory input. ...
Programming and Problem Solving with Java: Chapter 14
Programming and Problem Solving with Java: Chapter 14

... which is an important part of Artificial Intelligence. Aristotle’s work was expanded on by the likes of Peter Abelard, Gottfried Leibniz and George Boole. Charles Babbage was the inventor of the first computer –the Analytic Engine, in the 19th Century. This computer was not actually built until the ...
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{ How Neurosciences help us to understand some (psycho)therapeutic processes

... Moderate levels of stress or emotional arousal alternating with periods of calm and safety. Integration of conceptual knowledge with emotional and bodily experience. ...
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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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