# HG changeset patch
# User rlm
# Date 1401811534 14400
# Node ID 6c504a6a4413e991d287accec0918e5340768784
# Parent  8e7eb17ff30552f2b9b1315668962e749db5c21b
organize minsky material into its own section.

diff -r 8e7eb17ff305 -r 6c504a6a4413 org/sussman-reading-list.org
--- a/org/sussman-reading-list.org	Fri May 30 00:16:12 2014 -0400
+++ b/org/sussman-reading-list.org	Tue Jun 03 12:05:34 2014 -0400
@@ -1,42 +1,21 @@
 #+title: Prof. Sussman's Reading List
 #+author: Gerald Sussman (compiled by Robert McIntyre)
 #+email: rlm@mit.edu
-#+description: sussman's reading recommendations
+#+description: Professor Sussman's reading recommendations
 #+keywords: sussman physics computer science reading list MIT
 #+SETUPFILE: ../../aurellem/org/setup.org
 #+INCLUDE: ../../aurellem/org/level-0.org
 #+babel: :mkdirp yes :noweb yes :exports both
 
-
 * Recommendations
-  
-
   - Computers and Thought, by Edward A. Feigenbaum (Editor), Julian
     Feldman (Editor). 
-    
-    - [[http://mitpress.mit.edu/books/computers-and-thought][MIT Press]], [[http://www.amazon.com/Computers-Thought-Edward-Feigenbaum/dp/0262560925][Amazon]]
+    - [[http://mitpress.mit.edu/books/computers-and-thought][MIT Press]]
     - ISBN: 0262560925
-  
     This book includes some of the very interesting early papers in
     AI, and is overall a great book. Of course, some of the included
     papers are not very interesting. 
 
-
-  - [[http://web.media.mit.edu/~minsky/papers/steps.html][Steps towards Artificial Intelligence]], by Marvin Minsky.
-
-  - Perceptrons, by Marvin Minsky
-    
-    - [[http://mitpress.mit.edu/books/perceptrons][MIT Press]], ISBN: 9780262631112
-    - Really good for "Math types."
-    - Uses geometry for proving things. 
-    - People unwisely consisdered it to kill off Neural Nets
-
-  - Society of Mind, by Marvin Minsky
-    
-  - Music, Mind, and Meaning, by Marvin Minsky
-    
-    Minsky really made me as a person...
-
   - The Configuration Space Method for Kinematic Design of Mechanisms,
     by Elisha Sacks and Leo Joskowicz
 
@@ -165,7 +144,6 @@
     example. 
   - But the /feelings/ are exactly right!
 
-
 * From house interview
 
   - Network Theory, Bose + Stevens
@@ -213,3 +191,43 @@
   - faynman lectures
     - learn something
     - understandable
+
+
+* Marvin Minsky 
+  Minsky really made me as a person. He was my advisor when I was a
+  student at MIT, and he got me my first job. He had the "magnetisim"
+  to attract the most talented people to MIT to work on AI, and the
+  right amount of negligence and delagaion to create an environment
+  where people could thrive. He is certainly the reason that I was
+  seduced into working on AI. Minsky has vast and deep Scientific
+  knowledge -- he could walk into almost any class: Chemistry,
+  Physics, Math, Computer Science, and teach the class without
+  preparation!
+
+  - homepage :: http://web.media.mit.edu/~minsky/ Much of Minsky's
+                work is here, including his book, /The Emotion
+                Machine/, and several essays and papers. Check it out!
+  
+  - Society of Mind, by Marvin Minsky
+    http://aurellem.org/society-of-mind/
+    Read it online! Each chapter of this book is a short,
+    self-contained essay about the various 
+
+  - Music, Mind, and Meaning, by Marvin Minsky
+    https://web.media.mit.edu/~minsky/papers/MusicMindMeaning.html
+    Minsky is one of a few living people who can /improvise/
+    complicated Baroque era fugues. You can hear one of these
+    improvisations here: http://aurellem.org/mmm/
+
+  - [[http://web.media.mit.edu/~minsky/papers/steps.html][Steps towards Artificial Intelligence]] Here, Minsky outlines how we
+    might begin to build an AI. This is considered to be one of the
+    founding papers of the field, along with Turing's "Computing
+    Machinery and Intelligence" [[http://www.loebner.net/Prizef/TuringArticle.html][paper]].
+
+  - Perceptrons, by Marvin Minsky
+    - [[http://mitpress.mit.edu/books/perceptrons][MIT Press]], ISBN: 9780262631112
+    - Really good for "Math types."
+    - Uses geometry for proving things. 
+    - People unwisely consisdered it to kill off Neural Nets; In fact,
+      it only shows the limitations of certain simple kinds of Neural
+      Nets.