1.1 --- a/org/sussman-reading-list.org	Fri May 30 00:16:12 2014 -0400
     1.2 +++ b/org/sussman-reading-list.org	Tue Jun 03 12:05:34 2014 -0400
     1.3 @@ -1,42 +1,21 @@
     1.4  #+title: Prof. Sussman's Reading List
     1.5  #+author: Gerald Sussman (compiled by Robert McIntyre)
     1.6  #+email: rlm@mit.edu
     1.7 -#+description: sussman's reading recommendations
     1.8 +#+description: Professor Sussman's reading recommendations
     1.9  #+keywords: sussman physics computer science reading list MIT
    1.10  #+SETUPFILE: ../../aurellem/org/setup.org
    1.11  #+INCLUDE: ../../aurellem/org/level-0.org
    1.12  #+babel: :mkdirp yes :noweb yes :exports both
    1.13  
    1.14 -
    1.15  * Recommendations
    1.16 -  
    1.17 -
    1.18    - Computers and Thought, by Edward A. Feigenbaum (Editor), Julian
    1.19      Feldman (Editor). 
    1.20 -    
    1.21 -    - [[http://mitpress.mit.edu/books/computers-and-thought][MIT Press]], [[http://www.amazon.com/Computers-Thought-Edward-Feigenbaum/dp/0262560925][Amazon]]
    1.22 +    - [[http://mitpress.mit.edu/books/computers-and-thought][MIT Press]]
    1.23      - ISBN: 0262560925
    1.24 -  
    1.25      This book includes some of the very interesting early papers in
    1.26      AI, and is overall a great book. Of course, some of the included
    1.27      papers are not very interesting. 
    1.28  
    1.29 -
    1.30 -  - [[http://web.media.mit.edu/~minsky/papers/steps.html][Steps towards Artificial Intelligence]], by Marvin Minsky.
    1.31 -
    1.32 -  - Perceptrons, by Marvin Minsky
    1.33 -    
    1.34 -    - [[http://mitpress.mit.edu/books/perceptrons][MIT Press]], ISBN: 9780262631112
    1.35 -    - Really good for "Math types."
    1.36 -    - Uses geometry for proving things. 
    1.37 -    - People unwisely consisdered it to kill off Neural Nets
    1.38 -
    1.39 -  - Society of Mind, by Marvin Minsky
    1.40 -    
    1.41 -  - Music, Mind, and Meaning, by Marvin Minsky
    1.42 -    
    1.43 -    Minsky really made me as a person...
    1.44 -
    1.45    - The Configuration Space Method for Kinematic Design of Mechanisms,
    1.46      by Elisha Sacks and Leo Joskowicz
    1.47  
    1.48 @@ -165,7 +144,6 @@
    1.49      example. 
    1.50    - But the /feelings/ are exactly right!
    1.51  
    1.52 -
    1.53  * From house interview
    1.54  
    1.55    - Network Theory, Bose + Stevens
    1.56 @@ -213,3 +191,43 @@
    1.57    - faynman lectures
    1.58      - learn something
    1.59      - understandable
    1.60 +
    1.61 +
    1.62 +* Marvin Minsky 
    1.63 +  Minsky really made me as a person. He was my advisor when I was a
    1.64 +  student at MIT, and he got me my first job. He had the "magnetisim"
    1.65 +  to attract the most talented people to MIT to work on AI, and the
    1.66 +  right amount of negligence and delagaion to create an environment
    1.67 +  where people could thrive. He is certainly the reason that I was
    1.68 +  seduced into working on AI. Minsky has vast and deep Scientific
    1.69 +  knowledge -- he could walk into almost any class: Chemistry,
    1.70 +  Physics, Math, Computer Science, and teach the class without
    1.71 +  preparation!
    1.72 +
    1.73 +  - homepage :: http://web.media.mit.edu/~minsky/ Much of Minsky's
    1.74 +                work is here, including his book, /The Emotion
    1.75 +                Machine/, and several essays and papers. Check it out!
    1.76 +  
    1.77 +  - Society of Mind, by Marvin Minsky
    1.78 +    http://aurellem.org/society-of-mind/
    1.79 +    Read it online! Each chapter of this book is a short,
    1.80 +    self-contained essay about the various 
    1.81 +
    1.82 +  - Music, Mind, and Meaning, by Marvin Minsky
    1.83 +    https://web.media.mit.edu/~minsky/papers/MusicMindMeaning.html
    1.84 +    Minsky is one of a few living people who can /improvise/
    1.85 +    complicated Baroque era fugues. You can hear one of these
    1.86 +    improvisations here: http://aurellem.org/mmm/
    1.87 +
    1.88 +  - [[http://web.media.mit.edu/~minsky/papers/steps.html][Steps towards Artificial Intelligence]] Here, Minsky outlines how we
    1.89 +    might begin to build an AI. This is considered to be one of the
    1.90 +    founding papers of the field, along with Turing's "Computing
    1.91 +    Machinery and Intelligence" [[http://www.loebner.net/Prizef/TuringArticle.html][paper]].
    1.92 +
    1.93 +  - Perceptrons, by Marvin Minsky
    1.94 +    - [[http://mitpress.mit.edu/books/perceptrons][MIT Press]], ISBN: 9780262631112
    1.95 +    - Really good for "Math types."
    1.96 +    - Uses geometry for proving things. 
    1.97 +    - People unwisely consisdered it to kill off Neural Nets; In fact,
    1.98 +      it only shows the limitations of certain simple kinds of Neural
    1.99 +      Nets.