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Dear colleagues,<br>
<br>
You might be interested in this new book about the connectionist
brain-mind.<br>
<br>
-John<br>
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<h3 align="center"><a moz-do-not-send="true"
href="http://www.brain-mind-institute.org/press.html">BMI
Press</a> </h3>
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<caption> New Book </caption> <tbody>
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<td width="27%"><a moz-do-not-send="true"
href="http://www.brain-mind-institute.org/images/NAI-FrontCover.jpg"><img
src="cid:part2.00000505.08080308@cse.msu.edu" alt="NAI-Front-Cover"
height="316" width="250"></a></td>
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<h2>Natural and Artificial Intelligence</h2>
<h4>Introduction to Computational Brain-Mind</h4>
<p><a moz-do-not-send="true"
href="http://www.cse.msu.edu/%7Eweng/"><em>Juyang
Weng</em></a></p>
<p><a moz-do-not-send="true"
href="http://www.brain-mind-institute.org/press.html">BMI
Press</a>, 2012<br>
Hardcover, 445 pages, 104 illustrations<br>
Monograph and textbook with problems &
math appendix<br>
Instructors contact the author for the
instructor's package<br>
ISBN: 978-0-9858757-2-5 <br>
<br>
Price $65</p>
<p><a moz-do-not-send="true"
href="http://www.brain-mind-institute.org/images/NAI-Front-Matter.pdf">Download
the beginning in pdf</a></p>
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<td width="27%"><a moz-do-not-send="true"
href="http://www.brain-mind-institute.org/images/NAI-BackCover.jpg"><img
src="cid:part7.05080609.01080708@cse.msu.edu" alt="NAI-Back-Cover"
height="314" width="251"></a></td>
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<h3>About the book<br>
</h3>
<p> The mind is what the brain does. This book tries to
map a mind model to the corresponding brain so as to
not only deepen our understanding of both the brain
and the mind, but also unveil computational
underpinnings. That is why the words “Brain-Mind” are
hyphenated in the title. </p>
<p>This volume strives to unify natural intelligence
with artificial intelligence. It approaches
intelligence through not only what intelligence is but
also how intelligence arises.</p>
<p>Examples of disciplinary questions related to the
material in this book:</p>
<ul>
<li>Biology: How does each autonomous cell interact
with the environment to give rise to animal
behaviors, and what cellular roles is the genome
likely to play?</li>
<li>Neuroscience: From an overarching perspective, how
does a brain self-wire, perform top-down attention,
and develop its functions?</li>
<li>Psychology: How does an integrated brain
architecture accomplish multiple psychological
learning models and develop brain’s external
behaviors?</li>
<li>Computer Science: How does a brain-like network
compute, adapt, reason, and generalize, and how is
the automaton theory related to the brain-like
network?</li>
<li>Electrical Engineering: How does a brain-like
network perform general-purpose, nonlinear, feedback
sensing-and-control, beyond traditional nonlinear
control?</li>
<li>Mathematics: How does a brain-like network perform
general-purpose, nonlinear optimization, and how
does a brain realize emergent functionals?</li>
<li>Physics: How do meanings arise from physics, and
how does a brain-like network treat space and time
in a unified way, reminiscent of relativity?</li>
<li>Social sciences: How do computational principles
of human brains provide insight into possible
solutions to a variety of social and political
problems? </li>
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<h3>Short bio about the author</h3>
<p>Juyang Weng received his BS degree from Fudan
University, and MS and PhD degrees from University of
Illinois, Urbana-Champaign, all in Computer Science.
He is a professor at the Dept. of Computer Science and
Engineering, a faculty member of the Cognitive Science
Program and the Neuroscience Program, Michigan State
University, East Lansing, Michigan, USA. He is a
fellow of IEEE.</p>
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