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Bushnell
Bushnell

... – Experiential - Behavior Based/’learning” (neural nets/other “Soft Computing” - genetic algorithms, fuzzy logic,etc..) – Nano-section/replicate brain in Silicon – “Emergence” ...
biological bases of behavior
biological bases of behavior

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Neuron communication
Neuron communication

... How Do Neurons Communicate? • First, neurotransmitters are received by the dendrites. • Then, the information is processed by the soma. • Next, an action potential occurs, sending information down the axon. • Finally, neurotransmitters are released at the axon terminal for the next neuron to absorb ...
Unit 10 Chapter 36 The Nervous System
Unit 10 Chapter 36 The Nervous System

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Divisions of the Nervous System Section 35-3 pgs 901-904

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ITC 4480 Artificial Intelligence Principles 1 3/0/3 DEREE COLLEGE
ITC 4480 Artificial Intelligence Principles 1 3/0/3 DEREE COLLEGE

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Human Systems Project 2016FINAL
Human Systems Project 2016FINAL

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Nervous System

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Chapter 13
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Notes Chapter 50 Nervous and Sensory Systems

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Biological Cybernetics
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Final answers - Center for Neural Science

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Chapter 7
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Intelligent Systems - Teaching-WIKI

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Basic Principles of animal form & function
Basic Principles of animal form & function

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Drew McDermott Response to “The Singularity: A Philosophical
Drew McDermott Response to “The Singularity: A Philosophical

... the later elements will be designed with the help of members of the earlier cohorts, and so will be difficult for us to understand. If we knew all there was to know about a fellow human’s brain circuitry and memories, could we predict what they would do by any method other than simulating them (and ...
paper - Rice University
paper - Rice University

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Computer Vision and Remote Sensing – Lessons Learned
Computer Vision and Remote Sensing – Lessons Learned

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full list of publications - American University of Beirut
full list of publications - American University of Beirut

... BOOK REVIEWS 1. Saba, W. S. (2001), Book Review of "The Logic of Knowledge Bases", MIT Press, by Hector Levesque and Gerhard Lakemeyer, ACM Intelligence, 12(4), pp. 42-43. 2. Saba, W. S. (1995), Book Review of “The Phenomenon of Commonsense Reasoning" by Dimitrios Thanassa, ACM SIGART Bulletin, 6(4) ...
What kind of cognitive process is argumentation?
What kind of cognitive process is argumentation?

... Minimally argumentative agents – not for passing Turing tests but for human/machine interaction and knowledge acquisition This is an exercise in android epistemology... ...
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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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