[comp.ai.neural-nets] Help: Neural Nets/Cell-Automata/Dynamic Systems ...

worden@ut-emx.UUCP (Sue J. Worden) (06/26/89)

I hardly ever see the following book referenced, but I think it might
provide a reasonable introduction to some of your areas of interest:

Glorioso, Robert M. and Fernando C. Colon Osorio
ENGINEERING INTELLIGENT SYSTEMS : Concepts, Theory, and Applications
Digital Equipment Corporation; Bedford, Massachusetts; 1980
ISBN 0-932376-06-1; 472 pages

Abbreviated Table of Contents

Chap  1 : Computers and Intelligence
Chap  2 : Game Playing and Machines
Chap  3 : Reason, Logic, and Mathematics
Chap  4 : Computers and Automata
Chap  5 : Adaption, Learning, Self-Repair, and Self-Organization
Chap  6 : Stochastic Automata Models
Chap  7 : Adaptive, Learning, and Self-Organizing Controllers
Chap  8 : Cybernetic Techniques in Communication Systems
Chap  9 : Stochastic Automata Models in Computer and Communication Networks
Chap 10 : Reliability and Repair
Chap 11 : Neurons and Neural Models
Chap 12 : Threshold Logic
Chap 13 : Pattern Recognition
Chap 14 : Computer Vision
Chap 15 : Robotics

From your posting, I gather that your orientation is toward a blend of
computer science, computer engineering, and linear/non-linear systems
theory and engineering.  That in itself indicates that you are probably
seeking a university with faculty/student/program crossovers between
appropriate academic departments.  The University of Texas at Austin
is one such university.  For all the tantalizing details, write:
   Dean of Graduate Studies
   Main Building 101
   The University of Texas at Austin
   Austin, Texas  78712
You might also write to the chairman of various departments, requesting
a list of faculty members and their current research interests, as well
as any department-specific admissions procedures and/or requirements:
   Chairman
   Department of Computer Science
      (or, Department of Electrical and Computer Engineering)
      (or, for robotics info, Department of Mechanical Engineering)
      (or, for more non-linear systems info, Department of Physics)
   The University of Texas at Austin
   Austin, Texas  78712

Finally, in whatever graduate program you finally choose, I encourage
you to set aside a few course hours for psychology (cognitive science),
neuroanatomy/neurophysiology, et cetera.  The organic perspective gained
on our technological pursuits is invaluable.

- Sue Worden
  Department of Electrical and Computer Engineering
  The University of Texas at Austin