Connectionists: New Book: Natural and Artificial Intelligence: Introduction to Computational Brain-Mind

[Juyang Weng]

Dear colleagues,

You might be interested in this new book about the connectionist brain-mind.

-John


      BMI Press <http://www.brain-mind-institute.org/press.html>

New Book
NAI-Front-Cover 
<http://www.brain-mind-institute.org/images/NAI-FrontCover.jpg> 	


    Natural and Artificial Intelligence


        Introduction to Computational Brain-Mind

/Juyang Weng/ <http://www.cse.msu.edu/%7Eweng/>

BMI Press <http://www.brain-mind-institute.org/press.html>, 2012
Hardcover, 445 pages, 104 illustrations
Monograph and textbook with problems & math appendix
Instructors contact the author for the instructor's package
ISBN: 978-0-9858757-2-5

Price $65

Download the beginning in pdf 
<http://www.brain-mind-institute.org/images/NAI-Front-Matter.pdf>

	NAI-Back-Cover 
<http://www.brain-mind-institute.org/images/NAI-BackCover.jpg>


      About the book

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.

This volume strives to unify natural intelligence with artificial 
intelligence. It approaches intelligence through not only what 
intelligence is but also how intelligence arises.

Examples of disciplinary questions related to the material in this book:

  * 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?
  * Neuroscience: From an overarching perspective, how does a brain
    self-wire, perform top-down attention, and develop its functions?
  * Psychology: How does an integrated brain architecture accomplish
    multiple psychological learning models and develop brain's external
    behaviors?
  * 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?
  * Electrical Engineering: How does a brain-like network perform
    general-purpose, nonlinear, feedback sensing-and-control, beyond
    traditional nonlinear control?
  * Mathematics: How does a brain-like network perform general-purpose,
    nonlinear optimization, and how does a brain realize emergent
    functionals?
  * 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?
  * Social sciences: How do computational principles of human brains
    provide insight into possible solutions to a variety of social and
    political problems?


      Short bio about the author

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.


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