Mercurial > cortex

annotate thesis/cortex.bib @ 540:def6f62831df

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
misc fixes.
author Robert McIntyre <rlm@mit.edu>
date Sun, 27 Apr 2014 21:57:05 -0400
parents 2529c34caa1a
children d8f06a80d3ab
rev   line source
rlm@491 1 @misc{jmonkeyengine,
rlm@491 2 howpublished = "\url{http://hub.jmonkeyengine.org/}",
rlm@491 3 title = "jMonkeyEngine3",
rlm@491 4 year = 2013,
rlm@493 5 addendum = {\why{This is the video game engine on which {\tt CORTEX}
rlm@491 6 is based.}}
rlm@426 7 }
rlm@485 8
rlm@491 9 @misc{blender,
rlm@491 10 howpublished = "\url{http://www.blender.org/}",
rlm@491 11 title = "Blender",
rlm@491 12 year = 2013,
rlm@491 13 addendum = {\why{All complicated creatures in {\tt CORTEX} are
rlm@491 14 described using Blender's extensive 3D modeling
rlm@517 15 capabilities. Blender is a very sophisticated 3D
rlm@508 16 modeling environment and has been used to create a
rlm@516 17 short movie called Sintel \url{http://www.sintel.org/}.}}
rlm@488 18 }
rlm@491 19
rlm@491 20 @inproceedings{winston-directed-perception,
rlm@491 21 author = "Patrick Henry Winston",
rlm@491 22 title = "The Strong Story Hypothesis and the Directed Perception Hypothesis",
rlm@491 23 booktitle = "Technical Report FS-11-01, Papers from the AAAI Fall Symposium",
rlm@491 24 publisher = "AAAI Press",
rlm@491 25 address = "Menlo Park, CA",
rlm@491 26 year = "2011",
rlm@491 27 editor = "Pat Langley",
rlm@491 28 pages ="345--352",
rlm@491 29 note = "Available as: \url{http://hdl.handle.net/1721.1/67693}",
rlm@491 30 addendum = {\why{Discusses an idea called the {\em directed
rlm@491 31 perception hypothesis}, which argues that much of
rlm@491 32 our intelligence resides in our senses themselves,
rlm@491 33 and our ability to direct their resources on
rlm@491 34 imagined problems. This has had the greatest
rlm@491 35 influence on {\tt CORTEX}.}}
rlm@491 36 }
rlm@491 37
rlm@491 38 @article{winston-personal-view,
rlm@491 39 author = {Patrick Henry Winston},
rlm@491 40 title = {The Next 50 Years: a Personal View},
rlm@491 41 journal = {Biologically Inspired Cognitive Architectures},
rlm@491 42 year = {2012},
rlm@491 43 volume = "1",
rlm@491 44 pages ="92--99",
rlm@491 45 note = {Available as :
rlm@491 46 \url{http://groups.csail.mit.edu/genesis/papers/2012bica-phw}},
rlm@491 47 addendum = {\why{Great summary of historical attempts at AI, and more
rlm@494 48 thoughts on how directed perception and mimicry as
rlm@494 49 in {\tt EMPATH} might play an important role in
rlm@491 50 intelligence.}}
rlm@491 51 }
rlm@491 52
rlm@491 53 @article{sims-evolving-creatures,
rlm@491 54 author = "Karl Sims",
rlm@491 55 title = "Evolving Virtual Creatures",
rlm@491 56 journal = "Computer Graphics (Siggraph '94 Proceedings)",
rlm@491 57 year = "1994",
rlm@494 58 month = "7",
rlm@491 59 pages = "15--22",
rlm@491 60 note = "Available as: \url{http://www.karlsims.com/papers/siggraph94.pdf}",
rlm@493 61 addendum = {\why{Karl Sims uses a simulated virtual environment
rlm@493 62 similar to {\tt CORTEX} to study the evolution of a
rlm@493 63 set of creatures as they develop to perform various
rlm@491 64 tasks such as swimming or competing for a ball. His
rlm@491 65 code only ran on the Connection Machine (CM-5),
rlm@491 66 which sadly doesn't exist anymore. {\tt CORTEX}
rlm@491 67 presents an opportunity to continue this line of
rlm@491 68 research.}},
rlm@491 69 }
rlm@491 70
rlm@494 71 @INPROCEEDINGS{volume-action-recognition,
rlm@494 72 author={Yan Ke and Sukthankar, R. and Hebert, M.},
rlm@494 73 title={Efficient visual event detection using volumetric features},
rlm@494 74 year={2005},
rlm@494 75 month={10},
rlm@494 76 volume={1},
rlm@494 77 pages={166-173 Vol. 1},
rlm@494 78 note = {\url{http://www.intel-research.net/Publications/Pittsburgh/092620050705_320.pdf}},
rlm@494 79 booktitle={Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference},
rlm@494 80 addendum = {\why{This is an example of using frame-dependent methods
rlm@494 81 to detect actions in video. I consider this to be
rlm@494 82 the wrong language for describing actions, because
rlm@494 83 it has no way to completely describe even a simple
rlm@494 84 action like ``curling'' form all points of view.}}
rlm@494 85 }
rlm@494 86
rlm@497 87 @book{man-wife-hat,
rlm@497 88 author = "Oliver Sacks",
rlm@497 89 publisher = "Simon and Schuster",
rlm@497 90 year = "1998",
rlm@497 91 title = "The Man Who Mistook His Wife For A Hat: And Other Clinical Tales",
rlm@499 92 ISBN = "9780330700580",
rlm@517 93 addendum = {\why{This book describes exotic cases where the human
rlm@497 94 mind goes wrong. The section on proprioception is
rlm@517 95 particularly relevant to this thesis, and one of the
rlm@517 96 best explanations of how important proprioception
rlm@497 97 is, though the eyes of someone who has lost the
rlm@497 98 sense.}}
rlm@497 99 }
rlm@497 100
rlm@498 101 @article{turing-test,
rlm@498 102 title={Computing machinery and intelligence},
rlm@498 103 author={Turing, Alan M.},
rlm@498 104 journal={Mind},
rlm@498 105 pages={433--460},
rlm@498 106 year={1950},
rlm@498 107 publisher={Thomas Nelson and Son, Ltd.},
rlm@498 108 note = {Available as: \url{http://www.csee.umbc.edu/courses/471/papers/turing.pdf}},
rlm@498 109 addendum = {\why{The original paper that inspired the Turing test.
rlm@498 110 It's important because in it Turing states that we
rlm@498 111 don't have to care about the ``hand'' part of ``mind
rlm@498 112 and hand'', using the example of Helen Keller as
rlm@498 113 motivation. I think that this is a mistake, and that
rlm@498 114 embodiment is critical to intelligence.}}
rlm@498 115 }
rlm@498 116
rlm@521 117 @book{textbook901,
rlm@499 118 author="Bear and Mark F. and Barry W. Connors and Michael A.",
rlm@499 119 title="Neuroscience: Exploring the Brain.",
rlm@499 120 publisher="Lippincott Williams \& Wilkins",
rlm@499 121 edition="3rd Edition",
rlm@499 122 year="2006",
rlm@499 123 ISBN = "9780781760034",
rlm@499 124 addendum={\why{This is the introductory textbook to 9.01. It
rlm@499 125 provides a good introduction to all major human
rlm@499 126 senses.}}
rlm@499 127 }
rlm@498 128
rlm@500 129 @article{brooks-representation,
rlm@500 130 author = {Brooks, Rodney A.},
rlm@500 131 title = {Intelligence Without Representation},
rlm@500 132 journal = {Artificial Intelligence},
rlm@500 133 volume = {47},
rlm@500 134 number = {1-3},
rlm@500 135 month = {2},
rlm@500 136 year = {1991},
rlm@500 137 pages = {139--159},
rlm@500 138 publisher = {Elsevier Science Publishers Ltd.},
rlm@500 139 address = {Essex, UK},
rlm@500 140 note = {Available at :
rlm@500 141 \url{http://people.csail.mit.edu/brooks/papers/representation.pdf}},
rlm@500 142 addendum = {\why{Presents an argument that simulation will not be enough
rlm@500 143 to develop artificial intelligence, and that we must
rlm@500 144 rely on the real world and robots if we are to build
rlm@500 145 truly robust systems. While {\tt CORTEX} embraces
rlm@516 146 simulation because of Time, this paper remains a
rlm@500 147 compelling argument for why the entire enterprise
rlm@500 148 might not even be a good idea.}}
rlm@500 149 }
rlm@500 150
rlm@501 151 @mastersthesis{larson-symbols,
rlm@501 152 author = "Larson, Stephen David",
rlm@501 153 title = "Intrinsic representation : bootstrapping symbols from experience",
rlm@501 154 school = "MIT",
rlm@501 155 year = "2003",
rlm@501 156 note = "Available at: \url{http://hdl.handle.net/1721.1/28462}",
rlm@501 157 addendum = {\why{This is an example of a thesis that I think could
rlm@501 158 be improved with {\tt CORTEX}. Larson uses a simple
rlm@501 159 blocks world simulator to explore using
rlm@501 160 self-organizing maps to bootstrap symbols just from
rlm@540 161 exploration with a simulated arm and colored blocks.}}
rlm@501 162 }
rlm@485 163
rlm@502 164 @phdthesis{sussman-hacker,
rlm@502 165 author = "Sussman, Gerald J.",
rlm@502 166 title = "A Computational Model of Skill Acquisition",
rlm@502 167 school = "MIT",
rlm@502 168 year = "1973",
rlm@502 169 note = "Available at: \url{http://hdl.handle.net/1721.1/6894}",
rlm@502 170 addendum = {\why{Sussman creates a program called {\tt HACKER},
rlm@502 171 which operates in a blocks world environment and
rlm@502 172 learns to debug programs to build things with blocks
rlm@502 173 and control its own body. This sort of approach to
rlm@502 174 problem solving is begging to be implemented in {\tt
rlm@502 175 CORTEX}'s rich world. Will program debugging still
rlm@502 176 work well with many more senses and a more
rlm@517 177 complicated environment?}}
rlm@502 178 }
rlm@502 179
rlm@503 180 @phdthesis{coen-x-modal,
rlm@503 181 author = "Coen, Michael Harlan",
rlm@503 182 title = "Multimodal dynamics : self-supervised learning in perceptual and motor systems",
rlm@503 183 school = "MIT",
rlm@503 184 year = "2006",
rlm@503 185 note = "Available at: \url{http://hdl.handle.net/1721.1/34022}",
rlm@503 186 addendum = {\why{This thesis shows how to use multiple senses to
rlm@503 187 mutually bootstrap off of each other and achieve
rlm@503 188 clustering results that no sense could be able to
rlm@503 189 achieve alone. Cross-modal clustering becomes more
rlm@503 190 powerful the more senses it has, and is ideal to
rlm@503 191 implement in an environment such as {\tt CORTEX}'s.}}
rlm@503 192 }
rlm@502 193