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1 #+title: Prof. Sussman's Reading List
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2 #+author: Gerald Sussman (compiled by Robert McIntyre)
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3 #+email: rlm@mit.edu
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4 #+description: Professor Sussman's reading recommendations
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5 #+keywords: sussman physics computer science reading list MIT
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6 #+SETUPFILE: ../../aurellem/org/setup.org
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7 #+INCLUDE: ../../aurellem/org/level-0.org
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8 #+babel: :mkdirp yes :noweb yes :exports both
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9
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10 If you want to cite any of these papers, [[./sussman-recs.bib][here]] is a bibtex format file
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11 that contains all of these papers in the order they appear on the
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12 page. ([[./sussman-recs.bib]]).
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13
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14 * Recommendations
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15 - Computers and Thought, by Edward A. Feigenbaum (Editor), Julian
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16 Feldman (Editor).
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17 - [[http://mitpress.mit.edu/books/computers-and-thought][MIT Press]]
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18 - ISBN: 0262560925
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19 This book includes some of the very interesting early papers in
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20 AI, and is overall a great book. Of course, some of the included
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21 papers are not very interesting.
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22
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23 - The Configuration Space Method for Kinematic Design of Mechanisms,
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24 by Elisha Sacks and Leo Joskowicz
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25
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26 [[http://mitpress.mit.edu/books/configuration-space-method-kinematic-design-mechanisms][MIT Press]], ISBN: 9780262013895
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27
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28 - I learned a lot reading this. (RLM should read this!)
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29
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30 * Things Micah should read
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31
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32 - Wolpert Principles of development
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33 - A geneti switch Mark Ptashne
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34 - Lawrence the making of a fly
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35 - Frankel "Pattern Formation" (my type of book!)
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36
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37 * Things rlm should read
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38 - The harmonic mind vol 1+2 smolenck + legendre
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39
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40 * For fun
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41 - Time's Arrow ad Archemdedes's ???? (price)
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42 - a reasonable philisopher
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43 - was einstein right? (clifford will)
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44
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45 * Everybody should know:
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46 - fundamental physics
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47 - classical mechanics
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48 - E & M
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49 - relativity
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50 - QM
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51 - mathemeatics
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52
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53
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54 - Bernard F Schultz "A first course in general relativity"
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55 - readable
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56 - not too heavy
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57 - you can just go through it...
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58 - minimal dependencies
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59
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60
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61 - Scott Aaronson "Quantum Computing since Democratus"
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62 - everything you might want to know about QM, w/ phiospphical
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63 outlook
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64
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65
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66 - Bible + friends
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67 - whether or not you believe it
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68 - read between the lines
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69 - discover what people were actually thinking
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70 - very interesting document
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71
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72 - Stranger in a strange land
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73
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74
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75 - radio amateur's handbook ARRL
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76 - /practical/ electronics book
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77 - done for 100 years
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78
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79 - Radiotron Designer's handbook RCA, 4th edition
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80 - "I'm very interested in hi-fi."
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81
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82 - Hackers, by Steven Levy
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83 - Accuracy is not to good - people's names are spelled wrong, for
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84 example.
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85 - But the /feelings/ are exactly right!
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86
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87 * From house interview
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88
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89 - Network Theory, Bose + Stevens
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90 - beautiful, best book.
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91 - obsolete, only linear
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92 - get the real story about RLC circuits
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93
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94 - Linear and nonlinear circuits, Chua Sesoler kuh
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95 - more up-to-date than /Network Theory/
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96 - 10/10 would teach
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97 - mathematically very clear
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98
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99 - "Art of electronics practice" horowitz & hill
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100 - practical
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101
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102 - Grey + meyer (2nd or 3rd) edition "analysis and design of analogue
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103 and integrated circuits"
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104
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105 - A survey of modern algebra Birkhoff + macland
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106 - all the wau to gaoias theory
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107 - clear
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108
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109 - Visual Complex Analusis, Needham
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110 - Easy reading, well written
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111
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112 - Solid shape, Jan Koenderink
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113 - just good
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114
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115 - Probability: the Logic of Science, Jaynes
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116
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117 - Calculus on Manifolds, Spivak
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118 - great notation, inspiration for SICM
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119 - great flame
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120
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121 - Variational Princ. Mech. Lanczos
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122 - very phisolic
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123 - deep
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124 - read 100 times, learn something new each time
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125
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126 - Mermin, Space and time in special relativity
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127 - can be read by H.S. student
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128 - will change your life
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129 - you will understand special relativity!
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130
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131 - faynman lectures
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132 - learn something
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133 - understandable
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134
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135
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136 * Marvin Minsky
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137 Minsky really made me as a person. He was my advisor when I was a
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138 student at MIT, and he got me my first job. He had the "magnetisim"
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139 to attract the most talented people to MIT to work on AI, and the
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140 right amount of negligence and delagaion to create an environment
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141 where people could thrive. He is certainly the reason that I was
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142 seduced into working on AI. Minsky has vast and deep Scientific
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143 knowledge -- he could walk into almost any class: Chemistry,
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144 Physics, Math, Computer Science, and teach the class without
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145 preparation!
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146
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147 - http://web.media.mit.edu/~minsky/ Much of Minsky's work is here,
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148 including his book, /The Emotion Machine/, and several essays and
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149 papers. Check it out!
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150
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151 - [[http://aurellem.org/society-of-mind/][Society of Mind]] Read it online! Each chapter of this book is a
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152 short, self-contained essay about the various
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153
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154 - [[https://web.media.mit.edu/~minsky/papers/MusicMindMeaning.html][Music, Mind, and Meaning]] Minsky is one of a few living people who
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155 can /improvise/ complicated Baroque era fugues. You can hear one
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156 of these improvisations [[http://aurellem.org/mmm/][here]].
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157
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158 - [[http://web.media.mit.edu/~minsky/papers/steps.html][Steps towards Artificial Intelligence]] Here, Minsky outlines how we
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159 might begin to build an AI. This is considered to be one of the
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160 founding papers of the field, along with Turing's "Computing
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161 Machinery and Intelligence" [[http://www.loebner.net/Prizef/TuringArticle.html][paper]].
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162
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163 - Perceptrons, by Marvin Minsky
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164 - [[http://mitpress.mit.edu/books/perceptrons][MIT Press]], ISBN: 9780262631112
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165 - Really good for "Math types."
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166 - Uses geometry for proving things.
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167 - People unwisely consisdered it to kill off Neural Nets; In fact,
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168 it only shows the limitations of certain simple kinds of Neural
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169 Nets.
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170
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171 * Representative Student Theses
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172
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173 These are students where I played a large role in their
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174 education. Many of them represent compelling research directions
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175 that desperatly need to be extented by the next generation of
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176 researchers! As Minsky says, if you want to do something really new,
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177 go back to points in the past where there was a neat idea that never
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178 really caught on, and follow the path of that idea to see where it
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179 leads. A comprehensive list of all my student's works can be found
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180 at my [[http://groups.csail.mit.edu/mac/users/gjs/gjs.html][homepage]]. If you want to cite any of these papers, you can
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181 find bibtex citations here: [[./sussman-recs.bib]].
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182
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183 In particular, here's two great ideas that seem extremely promising
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184 and have NOT been properly explored! You could be the first person
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185 to get them working!
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186
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187 - Using Chaotic Systems to get unlimited measurement precision!
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188 - Two papers:
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189 - [[http://hdl.handle.net/1721.1/5953][A Global Approach to Parameter Estimation of Chaotic Dynamical
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190 Systems]], by [[http://eas.caltech.edu/people/3209/profile][Athanassios G. Siapas]], 1992.
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191 - [[http://hdl.handle.net/1721.1/7060][Paramater Estimation in Chaotic Systems]], by Elmer Hung, 1995.
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192 - No one put enough effort into seeing if it really worked.
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193 - Seems to allow for almost unlimited percision in measurement.
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194 - Initial results look very promising, with a =13 order of
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195 magnitude= improvement in measurement precision in a simple
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196 experiment.
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197 - You will win the Nobel Prize if you can get it to work, because
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198 you will revolutionize the way we do measurements.
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199
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200 - [[http://hdl.handle.net/1721.1/12007][Towards Intelligent Structures: Active Control of Buckling]]
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201 - By [[http://www.berlinplace.com/][Andrew A. Berlin]], 1994
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202 - Achieves a 10 fold increase in strength by actively eliminating
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203 vibrational modes.
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204 - Such a good idea; It's cool, short -- great!
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205 - No one's followed up on it!
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206
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207 In historical order:
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208
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209 - [[http://hdl.handle.net/1721.1/6888][A System for Representing and Using Real-World Knowledge]]
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210 - By [[http://www.cs.cmu.edu/~sef/][Scott Elliot Fahlman]], 1977
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211 - Basically the reason that the Connection Machine was later
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212 invented.
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213
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214 - [[http://hdl.handle.net/1721.1/5679][The Connection Machine]]
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215 - By [[http://longnow.org/people/board/danny0/][Danny Hillis]], 1981
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216 - Beautiful thesis, though it doesn't tell you anything you can
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217 really /do/ today.
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218
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219 - [[http://hdl.handle.net/1721.1/6948][A Circuit Grammar For Operational Amplifier Design]]
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220 - By Andrew Ressler, 1984
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221 - If you're an Electrical Engineering person.
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222
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223 - [[http://hdl.handle.net/1721.1/6959][ONTIC: A Knowledge Representation System for Mathematics]]
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224 - By [[http://ttic.uchicago.edu/~dmcallester/][David A. McAllester]], 1987
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225 - Very hard, very deep.
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226 - You will need to know a lot of Math.
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227
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228 - [[http://hdl.handle.net/1721.1/7025][KAM: Automatic Planning and Interpretation of Numerical
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229 Experiments Using Geometrical Methods]]
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230 - By Kenneth Man-Kam Yip, 1989
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231 - Coolest PhD thesis ever!
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232 - Solve problems using graphs.
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233 - So cool!
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234
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235 - [[http://hdl.handle.net/1721.1/80483][Botanical Computing: A Developmental Approach to Generating
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236 Interconnect Topologies on an Amorphous Computer]]
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237 - By [[http://sta.uwi.edu/pelican/60under60/dcoore.asp][Daniel Coore]], 1999
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238 - Interesting to programmers especially.
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239
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240 - [[http://hdl.handle.net/1721.1/86667][Programmable Self-Assembly: Constructing Global Shape using
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241 Biologically-inspired Local Interactions and Origami Mathematics]]
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242 By [[http://www.eecs.harvard.edu/~rad/][Radhika Nagpal]], 2001
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243 - Also Interesting to programmers.
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244
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245 - [[http://hdl.handle.net/1721.1/8228][Cellular Computation and Communications using Engineered Genetic
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246 Regulatory Networks]]
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247 - By [[http://groups.csail.mit.edu/mac/users/rweiss/][Ron Weiss]], 2001
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248 - Third in a line of bio / amorphous computing papers which should
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249 be highly interesting to programmers.
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250
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251 - [[http://hdl.handle.net/1721.1/6082][An Algorithm for Bootstrapping Communications]]
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252 - By Jake Beal, 2001
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253 - Seems like it could be "the right thing" for how modules in the
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254 brain learn to talk to each other.
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255 - Someone should expand on this work!
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256 - Also a PhD thesis from Beal on this: [[http://hdl.handle.net/1721.1/38483][Learning by Learning to
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257 Communicate]], 2007
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258
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259 - [[http://hdl.handle.net/1721.1/37913][Games, Puzzles, and Computation]]
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260 - By [[http://groups.csail.mit.edu/mac/users/bob/][Robert Aubrey Hearn]], 2006.
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261
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262 - [[http://hdl.handle.net/1721.1/49525][Propagation Networks: A Flexible and Expressive Substrate for
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263 Computation]]
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264 - By [[http://web.mit.edu/~axch/www/][Alexey Andreyevich Radul]], 2009
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265 - Is a completely new way to program computers.
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266 - Under active development. You can get the latest code [[http://groups.csail.mit.edu/mac/users/gjs/propagators/propagator.tar][here]].
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