annotate thesis/cortex.bib @ 508:c11d3fc3e6f0

inspecting cortex section.
author Robert McIntyre <rlm@mit.edu>
date Sun, 30 Mar 2014 01:07:19 -0400
parents f648f8cc3b63
children ced955c3c84f
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@508 15 capabilities. Blender is a very sophistaced 3D
rlm@508 16 modeling environment and has been used to create a
rlm@508 17 short movie called Sintel
rlm@508 18 \url{http://www.sintel.org/}}}
rlm@488 19 }
rlm@491 20
rlm@491 21 @inproceedings{winston-directed-perception,
rlm@491 22 author = "Patrick Henry Winston",
rlm@491 23 title = "The Strong Story Hypothesis and the Directed Perception Hypothesis",
rlm@491 24 booktitle = "Technical Report FS-11-01, Papers from the AAAI Fall Symposium",
rlm@491 25 publisher = "AAAI Press",
rlm@491 26 address = "Menlo Park, CA",
rlm@491 27 year = "2011",
rlm@491 28 editor = "Pat Langley",
rlm@491 29 pages ="345--352",
rlm@491 30 note = "Available as: \url{http://hdl.handle.net/1721.1/67693}",
rlm@491 31 addendum = {\why{Discusses an idea called the {\em directed
rlm@491 32 perception hypothesis}, which argues that much of
rlm@491 33 our intelligence resides in our senses themselves,
rlm@491 34 and our ability to direct their resources on
rlm@491 35 imagined problems. This has had the greatest
rlm@491 36 influence on {\tt CORTEX}.}}
rlm@491 37 }
rlm@491 38
rlm@491 39 @article{winston-personal-view,
rlm@491 40 author = {Patrick Henry Winston},
rlm@491 41 title = {The Next 50 Years: a Personal View},
rlm@491 42 journal = {Biologically Inspired Cognitive Architectures},
rlm@491 43 year = {2012},
rlm@491 44 volume = "1",
rlm@491 45 pages ="92--99",
rlm@491 46 note = {Available as :
rlm@491 47 \url{http://groups.csail.mit.edu/genesis/papers/2012bica-phw}},
rlm@491 48 addendum = {\why{Great summary of historical attempts at AI, and more
rlm@494 49 thoughts on how directed perception and mimicry as
rlm@494 50 in {\tt EMPATH} might play an important role in
rlm@491 51 intelligence.}}
rlm@491 52 }
rlm@491 53
rlm@491 54 @article{sims-evolving-creatures,
rlm@491 55 author = "Karl Sims",
rlm@491 56 title = "Evolving Virtual Creatures",
rlm@491 57 journal = "Computer Graphics (Siggraph '94 Proceedings)",
rlm@491 58 year = "1994",
rlm@494 59 month = "7",
rlm@491 60 pages = "15--22",
rlm@491 61 note = "Available as: \url{http://www.karlsims.com/papers/siggraph94.pdf}",
rlm@493 62 addendum = {\why{Karl Sims uses a simulated virtual environment
rlm@493 63 similar to {\tt CORTEX} to study the evolution of a
rlm@493 64 set of creatures as they develop to perform various
rlm@491 65 tasks such as swimming or competing for a ball. His
rlm@491 66 code only ran on the Connection Machine (CM-5),
rlm@491 67 which sadly doesn't exist anymore. {\tt CORTEX}
rlm@491 68 presents an opportunity to continue this line of
rlm@491 69 research.}},
rlm@491 70 }
rlm@491 71
rlm@494 72 @INPROCEEDINGS{volume-action-recognition,
rlm@494 73 author={Yan Ke and Sukthankar, R. and Hebert, M.},
rlm@494 74 title={Efficient visual event detection using volumetric features},
rlm@494 75 year={2005},
rlm@494 76 month={10},
rlm@494 77 volume={1},
rlm@494 78 pages={166-173 Vol. 1},
rlm@494 79 note = {\url{http://www.intel-research.net/Publications/Pittsburgh/092620050705_320.pdf}},
rlm@494 80 booktitle={Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference},
rlm@494 81 addendum = {\why{This is an example of using frame-dependent methods
rlm@494 82 to detect actions in video. I consider this to be
rlm@494 83 the wrong language for describing actions, because
rlm@494 84 it has no way to completely describe even a simple
rlm@494 85 action like ``curling'' form all points of view.}}
rlm@494 86 }
rlm@494 87
rlm@497 88 @book{man-wife-hat,
rlm@497 89 author = "Oliver Sacks",
rlm@497 90 publisher = "Simon and Schuster",
rlm@497 91 year = "1998",
rlm@497 92 title = "The Man Who Mistook His Wife For A Hat: And Other Clinical Tales",
rlm@499 93 ISBN = "9780330700580",
rlm@497 94 addendum = {\why{This book describes exoitic cases where the human
rlm@497 95 mind goes wrong. The section on proprioception is
rlm@497 96 particurally relevant to this thesis, and one of the
rlm@497 97 best explinations of how important proprioception
rlm@497 98 is, though the eyes of someone who has lost the
rlm@497 99 sense.}}
rlm@497 100 }
rlm@497 101
rlm@498 102 @article{turing-test,
rlm@498 103 title={Computing machinery and intelligence},
rlm@498 104 author={Turing, Alan M.},
rlm@498 105 journal={Mind},
rlm@498 106 pages={433--460},
rlm@498 107 year={1950},
rlm@498 108 publisher={Thomas Nelson and Son, Ltd.},
rlm@498 109 note = {Available as: \url{http://www.csee.umbc.edu/courses/471/papers/turing.pdf}},
rlm@498 110 addendum = {\why{The original paper that inspired the Turing test.
rlm@498 111 It's important because in it Turing states that we
rlm@498 112 don't have to care about the ``hand'' part of ``mind
rlm@498 113 and hand'', using the example of Helen Keller as
rlm@498 114 motivation. I think that this is a mistake, and that
rlm@498 115 embodiment is critical to intelligence.}}
rlm@498 116 }
rlm@498 117
rlm@499 118 @book{9.01-textbook,
rlm@499 119 author="Bear and Mark F. and Barry W. Connors and Michael A.",
rlm@499 120 title="Neuroscience: Exploring the Brain.",
rlm@499 121 publisher="Lippincott Williams \& Wilkins",
rlm@499 122 edition="3rd Edition",
rlm@499 123 year="2006",
rlm@499 124 ISBN = "9780781760034",
rlm@499 125 addendum={\why{This is the introductory textbook to 9.01. It
rlm@499 126 provides a good introduction to all major human
rlm@499 127 senses.}}
rlm@499 128 }
rlm@498 129
rlm@500 130 @article{brooks-representation,
rlm@500 131 author = {Brooks, Rodney A.},
rlm@500 132 title = {Intelligence Without Representation},
rlm@500 133 journal = {Artificial Intelligence},
rlm@500 134 volume = {47},
rlm@500 135 number = {1-3},
rlm@500 136 month = {2},
rlm@500 137 year = {1991},
rlm@500 138 pages = {139--159},
rlm@500 139 publisher = {Elsevier Science Publishers Ltd.},
rlm@500 140 address = {Essex, UK},
rlm@500 141 note = {Available at :
rlm@500 142 \url{http://people.csail.mit.edu/brooks/papers/representation.pdf}},
rlm@500 143 addendum = {\why{Presents an argument that simulation will not be enough
rlm@500 144 to develop artificial intelligence, and that we must
rlm@500 145 rely on the real world and robots if we are to build
rlm@500 146 truly robust systems. While {\tt CORTEX} embraces
rlm@500 147 simulation because of TIme, this paper remains a
rlm@500 148 compelling argument for why the entire enterprise
rlm@500 149 might not even be a good idea.}}
rlm@500 150 }
rlm@500 151
rlm@501 152 @mastersthesis{larson-symbols,
rlm@501 153 author = "Larson, Stephen David",
rlm@501 154 title = "Intrinsic representation : bootstrapping symbols from experience",
rlm@501 155 school = "MIT",
rlm@501 156 year = "2003",
rlm@501 157 note = "Available at: \url{http://hdl.handle.net/1721.1/28462}",
rlm@501 158 addendum = {\why{This is an example of a thesis that I think could
rlm@501 159 be improved with {\tt CORTEX}. Larson uses a simple
rlm@501 160 blocks world simulator to explore using
rlm@501 161 self-organizing maps to bootstrap symbols just from
rlm@501 162 exploration with a simule arm and colored blocks.}}
rlm@501 163 }
rlm@485 164
rlm@502 165 @phdthesis{sussman-hacker,
rlm@502 166 author = "Sussman, Gerald J.",
rlm@502 167 title = "A Computational Model of Skill Acquisition",
rlm@502 168 school = "MIT",
rlm@502 169 year = "1973",
rlm@502 170 note = "Available at: \url{http://hdl.handle.net/1721.1/6894}",
rlm@502 171 addendum = {\why{Sussman creates a program called {\tt HACKER},
rlm@502 172 which operates in a blocks world environment and
rlm@502 173 learns to debug programs to build things with blocks
rlm@502 174 and control its own body. This sort of approach to
rlm@502 175 problem solving is begging to be implemented in {\tt
rlm@502 176 CORTEX}'s rich world. Will program debugging still
rlm@502 177 work well with many more senses and a more
rlm@502 178 complicated environement?}}
rlm@502 179 }
rlm@502 180
rlm@503 181 @phdthesis{coen-x-modal,
rlm@503 182 author = "Coen, Michael Harlan",
rlm@503 183 title = "Multimodal dynamics : self-supervised learning in perceptual and motor systems",
rlm@503 184 school = "MIT",
rlm@503 185 year = "2006",
rlm@503 186 note = "Available at: \url{http://hdl.handle.net/1721.1/34022}",
rlm@503 187 addendum = {\why{This thesis shows how to use multiple senses to
rlm@503 188 mutually bootstrap off of each other and achieve
rlm@503 189 clustering results that no sense could be able to
rlm@503 190 achieve alone. Cross-modal clustering becomes more
rlm@503 191 powerful the more senses it has, and is ideal to
rlm@503 192 implement in an environment such as {\tt CORTEX}'s.}}
rlm@503 193 }
rlm@502 194