view thesis/cortex.bib @ 538:cfbcd2b11087

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author Robert McIntyre <rlm@mit.edu>
date Sun, 27 Apr 2014 21:50:25 -0400
parents 2529c34caa1a
children def6f62831df
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1 @misc{jmonkeyengine,
2 howpublished = "\url{http://hub.jmonkeyengine.org/}",
3 title = "jMonkeyEngine3",
4 year = 2013,
5 addendum = {\why{This is the video game engine on which {\tt CORTEX}
6 is based.}}
7 }
9 @misc{blender,
10 howpublished = "\url{http://www.blender.org/}",
11 title = "Blender",
12 year = 2013,
13 addendum = {\why{All complicated creatures in {\tt CORTEX} are
14 described using Blender's extensive 3D modeling
15 capabilities. Blender is a very sophisticated 3D
16 modeling environment and has been used to create a
17 short movie called Sintel \url{http://www.sintel.org/}.}}
18 }
20 @inproceedings{winston-directed-perception,
21 author = "Patrick Henry Winston",
22 title = "The Strong Story Hypothesis and the Directed Perception Hypothesis",
23 booktitle = "Technical Report FS-11-01, Papers from the AAAI Fall Symposium",
24 publisher = "AAAI Press",
25 address = "Menlo Park, CA",
26 year = "2011",
27 editor = "Pat Langley",
28 pages ="345--352",
29 note = "Available as: \url{http://hdl.handle.net/1721.1/67693}",
30 addendum = {\why{Discusses an idea called the {\em directed
31 perception hypothesis}, which argues that much of
32 our intelligence resides in our senses themselves,
33 and our ability to direct their resources on
34 imagined problems. This has had the greatest
35 influence on {\tt CORTEX}.}}
36 }
38 @article{winston-personal-view,
39 author = {Patrick Henry Winston},
40 title = {The Next 50 Years: a Personal View},
41 journal = {Biologically Inspired Cognitive Architectures},
42 year = {2012},
43 volume = "1",
44 pages ="92--99",
45 note = {Available as :
46 \url{http://groups.csail.mit.edu/genesis/papers/2012bica-phw}},
47 addendum = {\why{Great summary of historical attempts at AI, and more
48 thoughts on how directed perception and mimicry as
49 in {\tt EMPATH} might play an important role in
50 intelligence.}}
51 }
53 @article{sims-evolving-creatures,
54 author = "Karl Sims",
55 title = "Evolving Virtual Creatures",
56 journal = "Computer Graphics (Siggraph '94 Proceedings)",
57 year = "1994",
58 month = "7",
59 pages = "15--22",
60 note = "Available as: \url{http://www.karlsims.com/papers/siggraph94.pdf}",
61 addendum = {\why{Karl Sims uses a simulated virtual environment
62 similar to {\tt CORTEX} to study the evolution of a
63 set of creatures as they develop to perform various
64 tasks such as swimming or competing for a ball. His
65 code only ran on the Connection Machine (CM-5),
66 which sadly doesn't exist anymore. {\tt CORTEX}
67 presents an opportunity to continue this line of
68 research.}},
69 }
71 @INPROCEEDINGS{volume-action-recognition,
72 author={Yan Ke and Sukthankar, R. and Hebert, M.},
73 title={Efficient visual event detection using volumetric features},
74 year={2005},
75 month={10},
76 volume={1},
77 pages={166-173 Vol. 1},
78 note = {\url{http://www.intel-research.net/Publications/Pittsburgh/092620050705_320.pdf}},
79 booktitle={Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference},
80 addendum = {\why{This is an example of using frame-dependent methods
81 to detect actions in video. I consider this to be
82 the wrong language for describing actions, because
83 it has no way to completely describe even a simple
84 action like ``curling'' form all points of view.}}
85 }
87 @book{man-wife-hat,
88 author = "Oliver Sacks",
89 publisher = "Simon and Schuster",
90 year = "1998",
91 title = "The Man Who Mistook His Wife For A Hat: And Other Clinical Tales",
92 ISBN = "9780330700580",
93 addendum = {\why{This book describes exotic cases where the human
94 mind goes wrong. The section on proprioception is
95 particularly relevant to this thesis, and one of the
96 best explanations of how important proprioception
97 is, though the eyes of someone who has lost the
98 sense.}}
99 }
101 @article{turing-test,
102 title={Computing machinery and intelligence},
103 author={Turing, Alan M.},
104 journal={Mind},
105 pages={433--460},
106 year={1950},
107 publisher={Thomas Nelson and Son, Ltd.},
108 note = {Available as: \url{http://www.csee.umbc.edu/courses/471/papers/turing.pdf}},
109 addendum = {\why{The original paper that inspired the Turing test.
110 It's important because in it Turing states that we
111 don't have to care about the ``hand'' part of ``mind
112 and hand'', using the example of Helen Keller as
113 motivation. I think that this is a mistake, and that
114 embodiment is critical to intelligence.}}
115 }
117 @book{textbook901,
118 author="Bear and Mark F. and Barry W. Connors and Michael A.",
119 title="Neuroscience: Exploring the Brain.",
120 publisher="Lippincott Williams \& Wilkins",
121 edition="3rd Edition",
122 year="2006",
123 ISBN = "9780781760034",
124 addendum={\why{This is the introductory textbook to 9.01. It
125 provides a good introduction to all major human
126 senses.}}
127 }
129 @article{brooks-representation,
130 author = {Brooks, Rodney A.},
131 title = {Intelligence Without Representation},
132 journal = {Artificial Intelligence},
133 volume = {47},
134 number = {1-3},
135 month = {2},
136 year = {1991},
137 pages = {139--159},
138 publisher = {Elsevier Science Publishers Ltd.},
139 address = {Essex, UK},
140 note = {Available at :
141 \url{http://people.csail.mit.edu/brooks/papers/representation.pdf}},
142 addendum = {\why{Presents an argument that simulation will not be enough
143 to develop artificial intelligence, and that we must
144 rely on the real world and robots if we are to build
145 truly robust systems. While {\tt CORTEX} embraces
146 simulation because of Time, this paper remains a
147 compelling argument for why the entire enterprise
148 might not even be a good idea.}}
149 }
151 @mastersthesis{larson-symbols,
152 author = "Larson, Stephen David",
153 title = "Intrinsic representation : bootstrapping symbols from experience",
154 school = "MIT",
155 year = "2003",
156 note = "Available at: \url{http://hdl.handle.net/1721.1/28462}",
157 addendum = {\why{This is an example of a thesis that I think could
158 be improved with {\tt CORTEX}. Larson uses a simple
159 blocks world simulator to explore using
160 self-organizing maps to bootstrap symbols just from
161 exploration with a simulate arm and colored blocks.}}
162 }
164 @phdthesis{sussman-hacker,
165 author = "Sussman, Gerald J.",
166 title = "A Computational Model of Skill Acquisition",
167 school = "MIT",
168 year = "1973",
169 note = "Available at: \url{http://hdl.handle.net/1721.1/6894}",
170 addendum = {\why{Sussman creates a program called {\tt HACKER},
171 which operates in a blocks world environment and
172 learns to debug programs to build things with blocks
173 and control its own body. This sort of approach to
174 problem solving is begging to be implemented in {\tt
175 CORTEX}'s rich world. Will program debugging still
176 work well with many more senses and a more
177 complicated environment?}}
178 }
180 @phdthesis{coen-x-modal,
181 author = "Coen, Michael Harlan",
182 title = "Multimodal dynamics : self-supervised learning in perceptual and motor systems",
183 school = "MIT",
184 year = "2006",
185 note = "Available at: \url{http://hdl.handle.net/1721.1/34022}",
186 addendum = {\why{This thesis shows how to use multiple senses to
187 mutually bootstrap off of each other and achieve
188 clustering results that no sense could be able to
189 achieve alone. Cross-modal clustering becomes more
190 powerful the more senses it has, and is ideal to
191 implement in an environment such as {\tt CORTEX}'s.}}
192 }