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rlm@97 1 #+title: Prof. Sussman's Reading List
rlm@97 2 #+author: Gerald Sussman (compiled by Robert McIntyre)
rlm@97 3 #+email: rlm@mit.edu
rlm@103 4 #+description: Professor Sussman's reading recommendations
rlm@97 5 #+keywords: sussman physics computer science reading list MIT
rlm@97 6 #+SETUPFILE: ../../aurellem/org/setup.org
rlm@97 7 #+INCLUDE: ../../aurellem/org/level-0.org
rlm@97 8 #+babel: :mkdirp yes :noweb yes :exports both
rlm@97 9
rlm@104 10 If you want to cite any of these papers, [[./sussman-recs.bib][here]] is a bibtex format file
rlm@104 11 that contains all of these papers in the order they appear on the
rlm@104 12 page. ([[./sussman-recs.bib]]).
rlm@104 13
rlm@97 14 * Recommendations
rlm@97 15 - Computers and Thought, by Edward A. Feigenbaum (Editor), Julian
rlm@97 16 Feldman (Editor).
rlm@103 17 - [[http://mitpress.mit.edu/books/computers-and-thought][MIT Press]]
rlm@97 18 - ISBN: 0262560925
rlm@97 19 This book includes some of the very interesting early papers in
rlm@97 20 AI, and is overall a great book. Of course, some of the included
rlm@97 21 papers are not very interesting.
rlm@97 22
rlm@99 23 - The Configuration Space Method for Kinematic Design of Mechanisms,
rlm@99 24 by Elisha Sacks and Leo Joskowicz
rlm@98 25
rlm@99 26 [[http://mitpress.mit.edu/books/configuration-space-method-kinematic-design-mechanisms][MIT Press]], ISBN: 9780262013895
rlm@97 27
rlm@99 28 - I learned a lot reading this. (RLM should read this!)
rlm@99 29
rlm@100 30 * TODO Should Add DSPACE links
rlm@100 31 * TODO Also add thesis summaries / abstracts
rlm@100 32
rlm@100 33 * Things Micah should read
rlm@100 34
rlm@100 35 - Wolpert Principles of development
rlm@100 36 - A geneti switch Mark Ptashne
rlm@100 37 - Lawrence the making of a fly
rlm@100 38 - Frankel "Pattern Formation" (my type of book!)
rlm@100 39
rlm@100 40 * Things rlm should read
rlm@100 41 - The harmonic mind vol 1+2 smolenck + legendre
rlm@100 42
rlm@100 43 * For fun
rlm@100 44 - Time's Arrow ad Archemdedes's ???? (price)
rlm@100 45 - a reasonable philisopher
rlm@100 46 - was einstein right? (clifford will)
rlm@100 47
rlm@100 48 * Everybody should know:
rlm@100 49 - fundamental physics
rlm@100 50 - classical mechanics
rlm@100 51 - E & M
rlm@100 52 - relativity
rlm@100 53 - QM
rlm@100 54 - mathemeatics
rlm@100 55
rlm@100 56
rlm@100 57 - Bernard F Schultz "A first course in general relativity"
rlm@100 58 - readable
rlm@100 59 - not too heavy
rlm@100 60 - you can just go through it...
rlm@100 61 - minimal dependencies
rlm@100 62
rlm@100 63
rlm@100 64 - Scott Aaronson "Quantum Computing since Democratus"
rlm@100 65 - everything you might want to know about QM, w/ phiospphical
rlm@100 66 outlook
rlm@100 67
rlm@100 68
rlm@100 69 - Bible + friends
rlm@100 70 - whether or not you believe it
rlm@100 71 - read between the lines
rlm@100 72 - discover what people were actually thinking
rlm@100 73 - very interesting document
rlm@100 74
rlm@100 75 - Stranger in a strange land
rlm@100 76
rlm@100 77
rlm@100 78 - radio amateur's handbook ARRL
rlm@100 79 - /practical/ electronics book
rlm@100 80 - done for 100 years
rlm@100 81
rlm@100 82 - Radiotron Designer's handbook RCA, 4th edition
rlm@100 83 - "I'm very interested in hi-fi."
rlm@100 84
rlm@100 85 - Hackers, by Steven Levy
rlm@100 86 - Accuracy is not to good - people's names are spelled wrong, for
rlm@100 87 example.
rlm@100 88 - But the /feelings/ are exactly right!
rlm@101 89
rlm@101 90 * From house interview
rlm@101 91
rlm@101 92 - Network Theory, Bose + Stevens
rlm@101 93 - beautiful, best book.
rlm@101 94 - obsolete, only linear
rlm@101 95 - get the real story about RLC circuits
rlm@101 96
rlm@101 97 - Linear and nonlinear circuits, Chua Sesoler kuh
rlm@101 98 - more up-to-date than /Network Theory/
rlm@101 99 - 10/10 would teach
rlm@101 100 - mathematically very clear
rlm@101 101
rlm@101 102 - "Art of electronics practice" horowitz & hill
rlm@101 103 - practical
rlm@101 104
rlm@101 105 - Grey + meyer (2nd or 3rd) edition "analysis and design of analogue
rlm@101 106 and integrated circuits"
rlm@101 107
rlm@101 108 - A survey of modern algebra Birkhoff + macland
rlm@101 109 - all the wau to gaoias theory
rlm@101 110 - clear
rlm@101 111
rlm@101 112 - Visual Complex Analusis, Needham
rlm@101 113 - Easy reading, well written
rlm@101 114
rlm@101 115 - Solid shape, Jan Koenderink
rlm@101 116 - just good
rlm@101 117
rlm@101 118 - Probability: the Logic of Science, Jaynes
rlm@101 119
rlm@101 120 - Calculus on Manifolds, Spivak
rlm@101 121 - great notation, inspiration for SICM
rlm@101 122 - great flame
rlm@101 123
rlm@101 124 - Variational Princ. Mech. Lanczos
rlm@101 125 - very phisolic
rlm@101 126 - deep
rlm@101 127 - read 100 times, learn something new each time
rlm@101 128
rlm@101 129 - Mermin, Space and time in special relativity
rlm@101 130 - can be read by H.S. student
rlm@101 131 - will change your life
rlm@101 132 - you will understand special relativity!
rlm@101 133
rlm@101 134 - faynman lectures
rlm@101 135 - learn something
rlm@101 136 - understandable
rlm@103 137
rlm@103 138
rlm@103 139 * Marvin Minsky
rlm@103 140 Minsky really made me as a person. He was my advisor when I was a
rlm@103 141 student at MIT, and he got me my first job. He had the "magnetisim"
rlm@103 142 to attract the most talented people to MIT to work on AI, and the
rlm@103 143 right amount of negligence and delagaion to create an environment
rlm@103 144 where people could thrive. He is certainly the reason that I was
rlm@103 145 seduced into working on AI. Minsky has vast and deep Scientific
rlm@103 146 knowledge -- he could walk into almost any class: Chemistry,
rlm@103 147 Physics, Math, Computer Science, and teach the class without
rlm@103 148 preparation!
rlm@103 149
rlm@103 150 - homepage :: http://web.media.mit.edu/~minsky/ Much of Minsky's
rlm@103 151 work is here, including his book, /The Emotion
rlm@103 152 Machine/, and several essays and papers. Check it out!
rlm@103 153
rlm@103 154 - Society of Mind, by Marvin Minsky
rlm@103 155 http://aurellem.org/society-of-mind/
rlm@103 156 Read it online! Each chapter of this book is a short,
rlm@103 157 self-contained essay about the various
rlm@103 158
rlm@103 159 - Music, Mind, and Meaning, by Marvin Minsky
rlm@103 160 https://web.media.mit.edu/~minsky/papers/MusicMindMeaning.html
rlm@103 161 Minsky is one of a few living people who can /improvise/
rlm@103 162 complicated Baroque era fugues. You can hear one of these
rlm@103 163 improvisations here: http://aurellem.org/mmm/
rlm@103 164
rlm@103 165 - [[http://web.media.mit.edu/~minsky/papers/steps.html][Steps towards Artificial Intelligence]] Here, Minsky outlines how we
rlm@103 166 might begin to build an AI. This is considered to be one of the
rlm@103 167 founding papers of the field, along with Turing's "Computing
rlm@103 168 Machinery and Intelligence" [[http://www.loebner.net/Prizef/TuringArticle.html][paper]].
rlm@103 169
rlm@103 170 - Perceptrons, by Marvin Minsky
rlm@103 171 - [[http://mitpress.mit.edu/books/perceptrons][MIT Press]], ISBN: 9780262631112
rlm@103 172 - Really good for "Math types."
rlm@103 173 - Uses geometry for proving things.
rlm@103 174 - People unwisely consisdered it to kill off Neural Nets; In fact,
rlm@103 175 it only shows the limitations of certain simple kinds of Neural
rlm@103 176 Nets.
rlm@104 177
rlm@104 178 * Representative Student Theses
rlm@104 179
rlm@104 180 These are students where I played a large role in their
rlm@104 181 education. Many of them represent compelling research directions
rlm@104 182 that desperatly need to be extented by the next generation of
rlm@104 183 researchers! As Minsky says, if you want to do something really new,
rlm@104 184 go back to points in the past where there was a neat idea that never
rlm@104 185 really caught on, and follow the path of that idea to see where it
rlm@104 186 leads. A comprehensive list of all my student's works can be found
rlm@104 187 at my [[http://groups.csail.mit.edu/mac/users/gjs/gjs.html][homepage]]. If you want to cite any of these papers, you can
rlm@104 188 find bibtex citations here: [[./sussman-recs.bib]].
rlm@104 189
rlm@104 190 In particular, here's two great ideas that seem extremely promising
rlm@104 191 and have NOT been properly explored! You could be the first person
rlm@104 192 to get them working!
rlm@104 193
rlm@106 194 - Using Chaotic Systems to get unlimited measurement precision!
rlm@106 195 - Two papers:
rlm@106 196 - [[http://hdl.handle.net/1721.1/5953][A Global Approach to Parameter Estimation of Chaotic Dynamical
rlm@106 197 Systems]], by [[http://eas.caltech.edu/people/3209/profile][Athanassios G. Siapas]], 1992.
rlm@106 198 - [[http://hdl.handle.net/1721.1/7060][Paramater Estimation in Chaotic Systems]], by Elmer Hung, 1995.
rlm@106 199 - No one put enough effort into seeing if it really worked.
rlm@104 200 - Seems to allow for almost unlimited percision in measurement.
rlm@104 201 - Initial results look very promising, with a =13 order of
rlm@104 202 magnitude= improvement in measurement precision in a simple
rlm@104 203 experiment.
rlm@104 204 - You will win the Nobel Prize if you can get it to work, because
rlm@104 205 you will revolutionize the way we do measurements.
rlm@104 206
rlm@106 207 - [[http://hdl.handle.net/1721.1/12007][Towards Intelligent Structures: Active Control of Buckling]]
rlm@106 208 - By [[http://www.berlinplace.com/][Andrew A. Berlin]], 1994
rlm@104 209 - Achieves a 10 fold increase in strength by actively eliminating
rlm@104 210 vibrational modes.
rlm@104 211 - Such a good idea; It's cool, short -- great!
rlm@104 212 - No one's followed up on it!
rlm@104 213
rlm@104 214 In historical order:
rlm@104 215
rlm@104 216 - [[http://hdl.handle.net/1721.1/6888][A System for Representing and Using Real-World Knowledge]]
rlm@104 217 - By [[http://www.cs.cmu.edu/~sef/][Scott Elliot Fahlman]], 1977
rlm@104 218 - Basically the reason that the Connection Machine was later
rlm@104 219 invented.
rlm@104 220
rlm@107 221 - [[http://hdl.handle.net/1721.1/5679][The Connection Machine]]
rlm@107 222 - By [[http://longnow.org/people/board/danny0/][Danny Hillis]], 1981
rlm@107 223 - Beautiful thesis, though it doesn't tell you anything you can
rlm@104 224 really /do/ today.
rlm@104 225
rlm@107 226 - [[http://hdl.handle.net/1721.1/6948][A Circuit Grammar For Operational Amplifier Design]]
rlm@104 227 - By Andrew Ressler, 1984
rlm@104 228 - If you're an Electrical Engineering person.
rlm@104 229
rlm@107 230 - [[http://hdl.handle.net/1721.1/6959][ONTIC: A Knowledge Representation System for Mathematics]]
rlm@107 231 - By [[http://ttic.uchicago.edu/~dmcallester/][David A. McAllester]], 1987
rlm@104 232 - Very hard, very deep.
rlm@104 233 - You will need to know a lot of Math.
rlm@104 234
rlm@107 235 - [[http://hdl.handle.net/1721.1/7025][KAM: Automatic Planning and Interpretation of Numerical
rlm@107 236 Experiments Using Geometrical Methods]]
rlm@104 237 - By Kenneth Man-Kam Yip, 1989
rlm@104 238 - Coolest PhD thesis ever!
rlm@104 239 - Solve problems using graphs.
rlm@104 240 - So cool!
rlm@104 241
rlm@107 242 - [[http://hdl.handle.net/1721.1/80483][Botanical Computing: A Developmental Approach to Generating
rlm@107 243 Interconnect Topologies on an Amorphous Computer]]
rlm@107 244 - By [[http://sta.uwi.edu/pelican/60under60/dcoore.asp][Daniel Coore]], 1999
rlm@104 245 - Interesting to programmers especially.
rlm@104 246
rlm@107 247 - [[http://hdl.handle.net/1721.1/86667][Programmable Self-Assembly: Constructing Global Shape using
rlm@107 248 Biologically-inspired Local Interactions and Origami Mathematics]]
rlm@107 249 By [[http://www.eecs.harvard.edu/~rad/][Radhika Nagpal]], 2001
rlm@104 250 - Also Interesting to programmers.
rlm@104 251
rlm@107 252 - [[http://hdl.handle.net/1721.1/8228][Cellular Computation and Communications using Engineered Genetic
rlm@107 253 Regulatory Networks]]
rlm@107 254 - By [[http://groups.csail.mit.edu/mac/users/rweiss/][Ron Weiss]], 2001
rlm@107 255 - Third in a line of bio / amorphous computing papers which should
rlm@107 256 be highly interesting to programmers.
rlm@104 257
rlm@104 258 - [[http://hdl.handle.net/1721.1/6082][An Algorithm for Bootstrapping Communications]]
rlm@104 259 - By Jake Beal, 2001
rlm@104 260 - Seems like it could be "the right thing" for how modules in the
rlm@104 261 brain learn to talk to each other.
rlm@104 262 - Someone should expand on this work!
rlm@104 263 - Also a PhD thesis from Beal on this: [[http://hdl.handle.net/1721.1/38483][Learning by Learning to
rlm@104 264 Communicate]], 2007
rlm@104 265
rlm@104 266 - Games, Puzzles, and Computation
rlm@104 267 - By Robert Aubrey Hearn, 2006.
rlm@104 268
rlm@104 269 - Propagation Networks: A Flexible and Expressive Substrate for
rlm@104 270 Computation.
rlm@104 271 - By Alexey Andreyevich Radul, 2009
rlm@104 272