rlm@491: @misc{jmonkeyengine,
rlm@491:   howpublished = "\url{http://hub.jmonkeyengine.org/}",
rlm@491:   title = "jMonkeyEngine3",
rlm@491:   year = 2013,
rlm@493:   addendum = {\why{This is the video game engine on which {\tt CORTEX}
rlm@491:                   is based.}}
rlm@426: }
rlm@485: 
rlm@491: @misc{blender,
rlm@491:   howpublished = "\url{http://www.blender.org/}",
rlm@491:   title = "Blender",
rlm@491:   year = 2013,
rlm@491:   addendum = {\why{All complicated creatures in {\tt CORTEX} are
rlm@491:                   described using Blender's extensive 3D modeling
rlm@517:                   capabilities. Blender is a very sophisticated 3D
rlm@508:                   modeling environment and has been used to create a
rlm@516:                   short movie called Sintel \url{http://www.sintel.org/}.}}
rlm@488: }
rlm@491: 
rlm@491: @inproceedings{winston-directed-perception, 
rlm@491:  author = "Patrick Henry Winston", 
rlm@491:  title = "The Strong Story Hypothesis and the Directed Perception Hypothesis", 
rlm@491:  booktitle = "Technical Report FS-11-01, Papers from the AAAI Fall Symposium", 
rlm@491:  publisher = "AAAI Press", 
rlm@491:  address = "Menlo Park, CA", 
rlm@491:  year = "2011", 
rlm@491:  editor = "Pat Langley", 
rlm@491:  pages ="345--352", 
rlm@491:  note = "Available as: \url{http://hdl.handle.net/1721.1/67693}",
rlm@491:  addendum = {\why{Discusses an idea called the {\em directed
rlm@491:                   perception hypothesis}, which argues that much of
rlm@491:                   our intelligence resides in our senses themselves,
rlm@491:                   and our ability to direct their resources on
rlm@491:                   imagined problems. This has had the greatest
rlm@491:                   influence on {\tt CORTEX}.}}
rlm@491: } 
rlm@491: 
rlm@491: @article{winston-personal-view, 
rlm@491:  author = {Patrick Henry Winston}, 
rlm@491:  title = {The Next 50 Years: a Personal View}, 
rlm@491:  journal = {Biologically Inspired Cognitive Architectures}, 
rlm@491:  year = {2012}, 
rlm@491:  volume = "1",
rlm@491:  pages ="92--99", 
rlm@491:  note = {Available as :
rlm@491:           \url{http://groups.csail.mit.edu/genesis/papers/2012bica-phw}}, 
rlm@491:  addendum = {\why{Great summary of historical attempts at AI, and more
rlm@494:                   thoughts on how directed perception and mimicry as
rlm@494:                   in {\tt EMPATH} might play an important role in
rlm@491:                   intelligence.}}
rlm@491: } 
rlm@491: 
rlm@491: @article{sims-evolving-creatures,
rlm@491:   author = "Karl Sims",
rlm@491:   title  = "Evolving Virtual Creatures",
rlm@491:   journal = "Computer Graphics (Siggraph '94 Proceedings)",
rlm@491:   year = "1994",
rlm@494:   month = "7",
rlm@491:   pages = "15--22",
rlm@491:   note = "Available as: \url{http://www.karlsims.com/papers/siggraph94.pdf}",
rlm@493:   addendum = {\why{Karl Sims uses a simulated virtual environment
rlm@493:                   similar to {\tt CORTEX} to study the evolution of a
rlm@493:                   set of creatures as they develop to perform various
rlm@491:                   tasks such as swimming or competing for a ball. His
rlm@491:                   code only ran on the Connection Machine (CM-5),
rlm@491:                   which sadly doesn't exist anymore. {\tt CORTEX}
rlm@491:                   presents an opportunity to continue this line of
rlm@491:                   research.}},
rlm@491: }
rlm@491: 
rlm@494: @INPROCEEDINGS{volume-action-recognition,
rlm@494:   author={Yan Ke and Sukthankar, R. and Hebert, M.},
rlm@494:   title={Efficient visual event detection using volumetric features},
rlm@494:   year={2005},
rlm@494:   month={10},
rlm@494:   volume={1},
rlm@494:   pages={166-173 Vol. 1},
rlm@494:   note = {\url{http://www.intel-research.net/Publications/Pittsburgh/092620050705_320.pdf}},
rlm@494:   booktitle={Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference},
rlm@494:   addendum = {\why{This is an example of using frame-dependent methods
rlm@494:                   to detect actions in video. I consider this to be
rlm@494:                   the wrong language for describing actions, because
rlm@494:                   it has no way to completely describe even a simple
rlm@494:                   action like ``curling'' form all points of view.}}
rlm@494: }
rlm@494: 
rlm@497: @book{man-wife-hat,
rlm@497:   author = "Oliver Sacks",
rlm@497:   publisher = "Simon and Schuster",
rlm@497:   year = "1998",
rlm@497:   title = "The Man Who Mistook His Wife For A Hat: And Other Clinical Tales",
rlm@499:   ISBN = "9780330700580",
rlm@517:   addendum = {\why{This book describes exotic cases where the human
rlm@497:                   mind goes wrong. The section on proprioception is
rlm@517:                   particularly relevant to this thesis, and one of the
rlm@517:                   best explanations of how important proprioception
rlm@497:                   is, though the eyes of someone who has lost the
rlm@497:                   sense.}}
rlm@497: }
rlm@497: 
rlm@498: @article{turing-test,
rlm@498:   title={Computing machinery and intelligence},
rlm@498:   author={Turing, Alan M.},
rlm@498:   journal={Mind},
rlm@498:   pages={433--460},
rlm@498:   year={1950},
rlm@498:   publisher={Thomas Nelson and Son, Ltd.},
rlm@498:   note = {Available as: \url{http://www.csee.umbc.edu/courses/471/papers/turing.pdf}},
rlm@498:   addendum = {\why{The original paper that inspired the Turing test.
rlm@498:                   It's important because in it Turing states that we
rlm@498:                   don't have to care about the ``hand'' part of ``mind
rlm@498:                   and hand'', using the example of Helen Keller as
rlm@498:                   motivation. I think that this is a mistake, and that
rlm@498:                   embodiment is critical to intelligence.}}
rlm@498: } 
rlm@498: 
rlm@521: @book{textbook901,
rlm@499:   author="Bear and Mark F. and Barry W. Connors and Michael A.",
rlm@499:   title="Neuroscience: Exploring the Brain.",
rlm@499:   publisher="Lippincott Williams \& Wilkins",
rlm@499:   edition="3rd Edition",
rlm@499:   year="2006",
rlm@499:   ISBN = "9780781760034",
rlm@499:   addendum={\why{This is the introductory textbook to 9.01. It
rlm@499:                   provides a good introduction to all major human
rlm@499:                   senses.}}
rlm@499: }
rlm@498: 
rlm@500: @article{brooks-representation,
rlm@500:  author = {Brooks, Rodney A.},
rlm@500:  title = {Intelligence Without Representation},
rlm@500:  journal = {Artificial Intelligence},
rlm@500:  volume = {47},
rlm@500:  number = {1-3},
rlm@500:  month = {2},
rlm@500:  year = {1991},
rlm@500:  pages = {139--159},
rlm@500:  publisher = {Elsevier Science Publishers Ltd.},
rlm@500:  address = {Essex, UK},
rlm@500:  note = {Available at :
rlm@500:          \url{http://people.csail.mit.edu/brooks/papers/representation.pdf}},
rlm@500:  addendum = {\why{Presents an argument that simulation will not be enough
rlm@500:                   to develop artificial intelligence, and that we must
rlm@500:                   rely on the real world and robots if we are to build
rlm@500:                   truly robust systems. While {\tt CORTEX} embraces
rlm@516:                   simulation because of Time, this paper remains a
rlm@500:                   compelling argument for why the entire enterprise
rlm@500:                   might not even be a good idea.}}
rlm@500: }
rlm@500: 
rlm@543: 
rlm@543: @article{quake-place-cells,
rlm@543:  author = {Christopher D. Harvey and Forrest Collman and Daniel A. Dombec and David W. Tank},
rlm@543:  title = {Intracellular dynamics of hippocampal place cells during virtual navigation},
rlm@543:  journal = {Nature},
rlm@543:  volume = {461},
rlm@543:  month = {8},
rlm@543:  pages = {941-946},
rlm@543:  note = {Available at : 
rlm@543:          \url{http://papers.cnl.salk.edu/PDFs/Intracelllular Dynamics of Virtual Place Cells 2011-4178.pdf}},
rlm@543:  addendum = {\why{Researchers at Princeton created a special Quake II
rlm@543:                   level that simulated a maze, and added an interface
rlm@543:                   where a mouse could run on top of a ball in various
rlm@543:                   directions to move the character in the simulated
rlm@543:                   maze. They measured hippocampal activity during this
rlm@543:                   exercise to try and tease out the method in which
rlm@543:                   spatial data was stored in that area of the brain. I
rlm@543:                   find this promising because it shows that simulated
rlm@543:                   worlds are still clear enough for a simple rat to
rlm@543:                   navigate --- they don't just have meaning from our
rlm@543:                   own highly advanced imaginations. I want to see if a
rlm@543:                   rat can reasonably grow up if it lives its entire
rlm@543:                   live hooked up to the game!}}
rlm@543: }
rlm@543: 
rlm@543: 
rlm@501: @mastersthesis{larson-symbols,
rlm@501:   author = "Larson, Stephen David",
rlm@501:   title = "Intrinsic representation : bootstrapping symbols from experience",
rlm@501:   school = "MIT",
rlm@501:   year = "2003",
rlm@501:   note = "Available at: \url{http://hdl.handle.net/1721.1/28462}",
rlm@501:   addendum = {\why{This is an example of a thesis that I think could
rlm@501:                   be improved with {\tt CORTEX}. Larson uses a simple
rlm@501:                   blocks world simulator to explore using
rlm@501:                   self-organizing maps to bootstrap symbols just from
rlm@540:                   exploration with a simulated arm and colored blocks.}}
rlm@501: }
rlm@485: 
rlm@502: @phdthesis{sussman-hacker,
rlm@502:   author = "Sussman, Gerald J.",
rlm@502:   title = "A Computational Model of Skill Acquisition",
rlm@502:   school = "MIT",
rlm@502:   year = "1973",
rlm@502:   note = "Available at: \url{http://hdl.handle.net/1721.1/6894}",
rlm@502:   addendum = {\why{Sussman creates a program called {\tt HACKER},
rlm@502:                   which operates in a blocks world environment and
rlm@502:                   learns to debug programs to build things with blocks
rlm@502:                   and control its own body. This sort of approach to
rlm@502:                   problem solving is begging to be implemented in {\tt
rlm@502:                   CORTEX}'s rich world. Will program debugging still
rlm@502:                   work well with many more senses and a more
rlm@517:                   complicated environment?}}
rlm@502: }
rlm@502: 
rlm@503: @phdthesis{coen-x-modal,
rlm@503:   author = "Coen, Michael Harlan",
rlm@503:   title = "Multimodal dynamics : self-supervised learning in perceptual and motor systems",
rlm@503:   school = "MIT",
rlm@503:   year = "2006",
rlm@503:   note = "Available at: \url{http://hdl.handle.net/1721.1/34022}",
rlm@503:   addendum = {\why{This thesis shows how to use multiple senses to
rlm@503:                   mutually bootstrap off of each other and achieve
rlm@503:                   clustering results that no sense could be able to
rlm@503:                   achieve alone. Cross-modal clustering becomes more
rlm@503:                   powerful the more senses it has, and is ideal to
rlm@503:                   implement in an environment such as {\tt CORTEX}'s.}}
rlm@503: }
rlm@502: