annotate thesis/cortex.bib @ 505:c15e24d24396

possibe fix using anchoredListing
author Robert McIntyre <rlm@mit.edu>
date Sun, 30 Mar 2014 00:17:54 -0400
parents f648f8cc3b63
children c11d3fc3e6f0
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@491 15 capabilities.}}
rlm@488 16 }
rlm@491 17
rlm@491 18 @inproceedings{winston-directed-perception,
rlm@491 19 author = "Patrick Henry Winston",
rlm@491 20 title = "The Strong Story Hypothesis and the Directed Perception Hypothesis",
rlm@491 21 booktitle = "Technical Report FS-11-01, Papers from the AAAI Fall Symposium",
rlm@491 22 publisher = "AAAI Press",
rlm@491 23 address = "Menlo Park, CA",
rlm@491 24 year = "2011",
rlm@491 25 editor = "Pat Langley",
rlm@491 26 pages ="345--352",
rlm@491 27 note = "Available as: \url{http://hdl.handle.net/1721.1/67693}",
rlm@491 28 addendum = {\why{Discusses an idea called the {\em directed
rlm@491 29 perception hypothesis}, which argues that much of
rlm@491 30 our intelligence resides in our senses themselves,
rlm@491 31 and our ability to direct their resources on
rlm@491 32 imagined problems. This has had the greatest
rlm@491 33 influence on {\tt CORTEX}.}}
rlm@491 34 }
rlm@491 35
rlm@491 36 @article{winston-personal-view,
rlm@491 37 author = {Patrick Henry Winston},
rlm@491 38 title = {The Next 50 Years: a Personal View},
rlm@491 39 journal = {Biologically Inspired Cognitive Architectures},
rlm@491 40 year = {2012},
rlm@491 41 volume = "1",
rlm@491 42 pages ="92--99",
rlm@491 43 note = {Available as :
rlm@491 44 \url{http://groups.csail.mit.edu/genesis/papers/2012bica-phw}},
rlm@491 45 addendum = {\why{Great summary of historical attempts at AI, and more
rlm@494 46 thoughts on how directed perception and mimicry as
rlm@494 47 in {\tt EMPATH} might play an important role in
rlm@491 48 intelligence.}}
rlm@491 49 }
rlm@491 50
rlm@491 51 @article{sims-evolving-creatures,
rlm@491 52 author = "Karl Sims",
rlm@491 53 title = "Evolving Virtual Creatures",
rlm@491 54 journal = "Computer Graphics (Siggraph '94 Proceedings)",
rlm@491 55 year = "1994",
rlm@494 56 month = "7",
rlm@491 57 pages = "15--22",
rlm@491 58 note = "Available as: \url{http://www.karlsims.com/papers/siggraph94.pdf}",
rlm@493 59 addendum = {\why{Karl Sims uses a simulated virtual environment
rlm@493 60 similar to {\tt CORTEX} to study the evolution of a
rlm@493 61 set of creatures as they develop to perform various
rlm@491 62 tasks such as swimming or competing for a ball. His
rlm@491 63 code only ran on the Connection Machine (CM-5),
rlm@491 64 which sadly doesn't exist anymore. {\tt CORTEX}
rlm@491 65 presents an opportunity to continue this line of
rlm@491 66 research.}},
rlm@491 67 }
rlm@491 68
rlm@494 69 @INPROCEEDINGS{volume-action-recognition,
rlm@494 70 author={Yan Ke and Sukthankar, R. and Hebert, M.},
rlm@494 71 title={Efficient visual event detection using volumetric features},
rlm@494 72 year={2005},
rlm@494 73 month={10},
rlm@494 74 volume={1},
rlm@494 75 pages={166-173 Vol. 1},
rlm@494 76 note = {\url{http://www.intel-research.net/Publications/Pittsburgh/092620050705_320.pdf}},
rlm@494 77 booktitle={Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference},
rlm@494 78 addendum = {\why{This is an example of using frame-dependent methods
rlm@494 79 to detect actions in video. I consider this to be
rlm@494 80 the wrong language for describing actions, because
rlm@494 81 it has no way to completely describe even a simple
rlm@494 82 action like ``curling'' form all points of view.}}
rlm@494 83 }
rlm@494 84
rlm@497 85 @book{man-wife-hat,
rlm@497 86 author = "Oliver Sacks",
rlm@497 87 publisher = "Simon and Schuster",
rlm@497 88 year = "1998",
rlm@497 89 title = "The Man Who Mistook His Wife For A Hat: And Other Clinical Tales",
rlm@499 90 ISBN = "9780330700580",
rlm@497 91 addendum = {\why{This book describes exoitic cases where the human
rlm@497 92 mind goes wrong. The section on proprioception is
rlm@497 93 particurally relevant to this thesis, and one of the
rlm@497 94 best explinations of how important proprioception
rlm@497 95 is, though the eyes of someone who has lost the
rlm@497 96 sense.}}
rlm@497 97 }
rlm@497 98
rlm@498 99 @article{turing-test,
rlm@498 100 title={Computing machinery and intelligence},
rlm@498 101 author={Turing, Alan M.},
rlm@498 102 journal={Mind},
rlm@498 103 pages={433--460},
rlm@498 104 year={1950},
rlm@498 105 publisher={Thomas Nelson and Son, Ltd.},
rlm@498 106 note = {Available as: \url{http://www.csee.umbc.edu/courses/471/papers/turing.pdf}},
rlm@498 107 addendum = {\why{The original paper that inspired the Turing test.
rlm@498 108 It's important because in it Turing states that we
rlm@498 109 don't have to care about the ``hand'' part of ``mind
rlm@498 110 and hand'', using the example of Helen Keller as
rlm@498 111 motivation. I think that this is a mistake, and that
rlm@498 112 embodiment is critical to intelligence.}}
rlm@498 113 }
rlm@498 114
rlm@499 115 @book{9.01-textbook,
rlm@499 116 author="Bear and Mark F. and Barry W. Connors and Michael A.",
rlm@499 117 title="Neuroscience: Exploring the Brain.",
rlm@499 118 publisher="Lippincott Williams \& Wilkins",
rlm@499 119 edition="3rd Edition",
rlm@499 120 year="2006",
rlm@499 121 ISBN = "9780781760034",
rlm@499 122 addendum={\why{This is the introductory textbook to 9.01. It
rlm@499 123 provides a good introduction to all major human
rlm@499 124 senses.}}
rlm@499 125 }
rlm@498 126
rlm@500 127 @article{brooks-representation,
rlm@500 128 author = {Brooks, Rodney A.},
rlm@500 129 title = {Intelligence Without Representation},
rlm@500 130 journal = {Artificial Intelligence},
rlm@500 131 volume = {47},
rlm@500 132 number = {1-3},
rlm@500 133 month = {2},
rlm@500 134 year = {1991},
rlm@500 135 pages = {139--159},
rlm@500 136 publisher = {Elsevier Science Publishers Ltd.},
rlm@500 137 address = {Essex, UK},
rlm@500 138 note = {Available at :
rlm@500 139 \url{http://people.csail.mit.edu/brooks/papers/representation.pdf}},
rlm@500 140 addendum = {\why{Presents an argument that simulation will not be enough
rlm@500 141 to develop artificial intelligence, and that we must
rlm@500 142 rely on the real world and robots if we are to build
rlm@500 143 truly robust systems. While {\tt CORTEX} embraces
rlm@500 144 simulation because of TIme, this paper remains a
rlm@500 145 compelling argument for why the entire enterprise
rlm@500 146 might not even be a good idea.}}
rlm@500 147 }
rlm@500 148
rlm@501 149 @mastersthesis{larson-symbols,
rlm@501 150 author = "Larson, Stephen David",
rlm@501 151 title = "Intrinsic representation : bootstrapping symbols from experience",
rlm@501 152 school = "MIT",
rlm@501 153 year = "2003",
rlm@501 154 note = "Available at: \url{http://hdl.handle.net/1721.1/28462}",
rlm@501 155 addendum = {\why{This is an example of a thesis that I think could
rlm@501 156 be improved with {\tt CORTEX}. Larson uses a simple
rlm@501 157 blocks world simulator to explore using
rlm@501 158 self-organizing maps to bootstrap symbols just from
rlm@501 159 exploration with a simule arm and colored blocks.}}
rlm@501 160 }
rlm@485 161
rlm@502 162 @phdthesis{sussman-hacker,
rlm@502 163 author = "Sussman, Gerald J.",
rlm@502 164 title = "A Computational Model of Skill Acquisition",
rlm@502 165 school = "MIT",
rlm@502 166 year = "1973",
rlm@502 167 note = "Available at: \url{http://hdl.handle.net/1721.1/6894}",
rlm@502 168 addendum = {\why{Sussman creates a program called {\tt HACKER},
rlm@502 169 which operates in a blocks world environment and
rlm@502 170 learns to debug programs to build things with blocks
rlm@502 171 and control its own body. This sort of approach to
rlm@502 172 problem solving is begging to be implemented in {\tt
rlm@502 173 CORTEX}'s rich world. Will program debugging still
rlm@502 174 work well with many more senses and a more
rlm@502 175 complicated environement?}}
rlm@502 176 }
rlm@502 177
rlm@503 178 @phdthesis{coen-x-modal,
rlm@503 179 author = "Coen, Michael Harlan",
rlm@503 180 title = "Multimodal dynamics : self-supervised learning in perceptual and motor systems",
rlm@503 181 school = "MIT",
rlm@503 182 year = "2006",
rlm@503 183 note = "Available at: \url{http://hdl.handle.net/1721.1/34022}",
rlm@503 184 addendum = {\why{This thesis shows how to use multiple senses to
rlm@503 185 mutually bootstrap off of each other and achieve
rlm@503 186 clustering results that no sense could be able to
rlm@503 187 achieve alone. Cross-modal clustering becomes more
rlm@503 188 powerful the more senses it has, and is ideal to
rlm@503 189 implement in an environment such as {\tt CORTEX}'s.}}
rlm@503 190 }
rlm@502 191