Mercurial > cortex
view thesis/cortex.bib @ 515:58fa1ffd481e
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author | Robert McIntyre <rlm@mit.edu> |
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date | Sun, 30 Mar 2014 10:53:13 -0400 |
parents | c11d3fc3e6f0 |
children | ced955c3c84f |
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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} are14 described using Blender's extensive 3D modeling15 capabilities. Blender is a very sophistaced 3D16 modeling environment and has been used to create a17 short movie called Sintel18 \url{http://www.sintel.org/}}}19 }21 @inproceedings{winston-directed-perception,22 author = "Patrick Henry Winston",23 title = "The Strong Story Hypothesis and the Directed Perception Hypothesis",24 booktitle = "Technical Report FS-11-01, Papers from the AAAI Fall Symposium",25 publisher = "AAAI Press",26 address = "Menlo Park, CA",27 year = "2011",28 editor = "Pat Langley",29 pages ="345--352",30 note = "Available as: \url{http://hdl.handle.net/1721.1/67693}",31 addendum = {\why{Discusses an idea called the {\em directed32 perception hypothesis}, which argues that much of33 our intelligence resides in our senses themselves,34 and our ability to direct their resources on35 imagined problems. This has had the greatest36 influence on {\tt CORTEX}.}}37 }39 @article{winston-personal-view,40 author = {Patrick Henry Winston},41 title = {The Next 50 Years: a Personal View},42 journal = {Biologically Inspired Cognitive Architectures},43 year = {2012},44 volume = "1",45 pages ="92--99",46 note = {Available as :47 \url{http://groups.csail.mit.edu/genesis/papers/2012bica-phw}},48 addendum = {\why{Great summary of historical attempts at AI, and more49 thoughts on how directed perception and mimicry as50 in {\tt EMPATH} might play an important role in51 intelligence.}}52 }54 @article{sims-evolving-creatures,55 author = "Karl Sims",56 title = "Evolving Virtual Creatures",57 journal = "Computer Graphics (Siggraph '94 Proceedings)",58 year = "1994",59 month = "7",60 pages = "15--22",61 note = "Available as: \url{http://www.karlsims.com/papers/siggraph94.pdf}",62 addendum = {\why{Karl Sims uses a simulated virtual environment63 similar to {\tt CORTEX} to study the evolution of a64 set of creatures as they develop to perform various65 tasks such as swimming or competing for a ball. His66 code only ran on the Connection Machine (CM-5),67 which sadly doesn't exist anymore. {\tt CORTEX}68 presents an opportunity to continue this line of69 research.}},70 }72 @INPROCEEDINGS{volume-action-recognition,73 author={Yan Ke and Sukthankar, R. and Hebert, M.},74 title={Efficient visual event detection using volumetric features},75 year={2005},76 month={10},77 volume={1},78 pages={166-173 Vol. 1},79 note = {\url{http://www.intel-research.net/Publications/Pittsburgh/092620050705_320.pdf}},80 booktitle={Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference},81 addendum = {\why{This is an example of using frame-dependent methods82 to detect actions in video. I consider this to be83 the wrong language for describing actions, because84 it has no way to completely describe even a simple85 action like ``curling'' form all points of view.}}86 }88 @book{man-wife-hat,89 author = "Oliver Sacks",90 publisher = "Simon and Schuster",91 year = "1998",92 title = "The Man Who Mistook His Wife For A Hat: And Other Clinical Tales",93 ISBN = "9780330700580",94 addendum = {\why{This book describes exoitic cases where the human95 mind goes wrong. The section on proprioception is96 particurally relevant to this thesis, and one of the97 best explinations of how important proprioception98 is, though the eyes of someone who has lost the99 sense.}}100 }102 @article{turing-test,103 title={Computing machinery and intelligence},104 author={Turing, Alan M.},105 journal={Mind},106 pages={433--460},107 year={1950},108 publisher={Thomas Nelson and Son, Ltd.},109 note = {Available as: \url{http://www.csee.umbc.edu/courses/471/papers/turing.pdf}},110 addendum = {\why{The original paper that inspired the Turing test.111 It's important because in it Turing states that we112 don't have to care about the ``hand'' part of ``mind113 and hand'', using the example of Helen Keller as114 motivation. I think that this is a mistake, and that115 embodiment is critical to intelligence.}}116 }118 @book{9.01-textbook,119 author="Bear and Mark F. and Barry W. Connors and Michael A.",120 title="Neuroscience: Exploring the Brain.",121 publisher="Lippincott Williams \& Wilkins",122 edition="3rd Edition",123 year="2006",124 ISBN = "9780781760034",125 addendum={\why{This is the introductory textbook to 9.01. It126 provides a good introduction to all major human127 senses.}}128 }130 @article{brooks-representation,131 author = {Brooks, Rodney A.},132 title = {Intelligence Without Representation},133 journal = {Artificial Intelligence},134 volume = {47},135 number = {1-3},136 month = {2},137 year = {1991},138 pages = {139--159},139 publisher = {Elsevier Science Publishers Ltd.},140 address = {Essex, UK},141 note = {Available at :142 \url{http://people.csail.mit.edu/brooks/papers/representation.pdf}},143 addendum = {\why{Presents an argument that simulation will not be enough144 to develop artificial intelligence, and that we must145 rely on the real world and robots if we are to build146 truly robust systems. While {\tt CORTEX} embraces147 simulation because of TIme, this paper remains a148 compelling argument for why the entire enterprise149 might not even be a good idea.}}150 }152 @mastersthesis{larson-symbols,153 author = "Larson, Stephen David",154 title = "Intrinsic representation : bootstrapping symbols from experience",155 school = "MIT",156 year = "2003",157 note = "Available at: \url{http://hdl.handle.net/1721.1/28462}",158 addendum = {\why{This is an example of a thesis that I think could159 be improved with {\tt CORTEX}. Larson uses a simple160 blocks world simulator to explore using161 self-organizing maps to bootstrap symbols just from162 exploration with a simule arm and colored blocks.}}163 }165 @phdthesis{sussman-hacker,166 author = "Sussman, Gerald J.",167 title = "A Computational Model of Skill Acquisition",168 school = "MIT",169 year = "1973",170 note = "Available at: \url{http://hdl.handle.net/1721.1/6894}",171 addendum = {\why{Sussman creates a program called {\tt HACKER},172 which operates in a blocks world environment and173 learns to debug programs to build things with blocks174 and control its own body. This sort of approach to175 problem solving is begging to be implemented in {\tt176 CORTEX}'s rich world. Will program debugging still177 work well with many more senses and a more178 complicated environement?}}179 }181 @phdthesis{coen-x-modal,182 author = "Coen, Michael Harlan",183 title = "Multimodal dynamics : self-supervised learning in perceptual and motor systems",184 school = "MIT",185 year = "2006",186 note = "Available at: \url{http://hdl.handle.net/1721.1/34022}",187 addendum = {\why{This thesis shows how to use multiple senses to188 mutually bootstrap off of each other and achieve189 clustering results that no sense could be able to190 achieve alone. Cross-modal clustering becomes more191 powerful the more senses it has, and is ideal to192 implement in an environment such as {\tt CORTEX}'s.}}193 }