Mercurial > cortex

     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 }

     8 

     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.}}

    16 }

    17 

    18 @inproceedings{winston-directed-perception, 

    19  author = "Patrick Henry Winston", 

    20  title = "The Strong Story Hypothesis and the Directed Perception Hypothesis", 

    21  booktitle = "Technical Report FS-11-01, Papers from the AAAI Fall Symposium", 

    22  publisher = "AAAI Press", 

    23  address = "Menlo Park, CA", 

    24  year = "2011", 

    25  editor = "Pat Langley", 

    26  pages ="345--352", 

    27  note = "Available as: \url{http://hdl.handle.net/1721.1/67693}",

    28  addendum = {\why{Discusses an idea called the {\em directed

    29                   perception hypothesis}, which argues that much of

    30                   our intelligence resides in our senses themselves,

    31                   and our ability to direct their resources on

    32                   imagined problems. This has had the greatest

    33                   influence on {\tt CORTEX}.}}

    34 } 

    35 

    36 @article{winston-personal-view, 

    37  author = {Patrick Henry Winston}, 

    38  title = {The Next 50 Years: a Personal View}, 

    39  journal = {Biologically Inspired Cognitive Architectures}, 

    40  year = {2012}, 

    41  volume = "1",

    42  pages ="92--99", 

    43  note = {Available as :

    44           \url{http://groups.csail.mit.edu/genesis/papers/2012bica-phw}}, 

    45  addendum = {\why{Great summary of historical attempts at AI, and more

    46                   thoughts on how directed perception and mimicry as

    47                   in {\tt EMPATH} might play an important role in

    48                   intelligence.}}

    49 } 

    50 

    51 @article{sims-evolving-creatures,

    52   author = "Karl Sims",

    53   title  = "Evolving Virtual Creatures",

    54   journal = "Computer Graphics (Siggraph '94 Proceedings)",

    55   year = "1994",

    56   month = "7",

    57   pages = "15--22",

    58   note = "Available as: \url{http://www.karlsims.com/papers/siggraph94.pdf}",

    59   addendum = {\why{Karl Sims uses a simulated virtual environment

    60                   similar to {\tt CORTEX} to study the evolution of a

    61                   set of creatures as they develop to perform various

    62                   tasks such as swimming or competing for a ball. His

    63                   code only ran on the Connection Machine (CM-5),

    64                   which sadly doesn't exist anymore. {\tt CORTEX}

    65                   presents an opportunity to continue this line of

    66                   research.}},

    67 }

    68 

    69 @INPROCEEDINGS{volume-action-recognition,

    70   author={Yan Ke and Sukthankar, R. and Hebert, M.},

    71   title={Efficient visual event detection using volumetric features},

    72   year={2005},

    73   month={10},

    74   volume={1},

    75   pages={166-173 Vol. 1},

    76   note = {\url{http://www.intel-research.net/Publications/Pittsburgh/092620050705_320.pdf}},

    77   booktitle={Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference},

    78   addendum = {\why{This is an example of using frame-dependent methods

    79                   to detect actions in video. I consider this to be

    80                   the wrong language for describing actions, because

    81                   it has no way to completely describe even a simple

    82                   action like ``curling'' form all points of view.}}

    83 }

    84 

    85 @book{man-wife-hat,

    86   author = "Oliver Sacks",

    87   publisher = "Simon and Schuster",

    88   year = "1998",

    89   title = "The Man Who Mistook His Wife For A Hat: And Other Clinical Tales",

    90   ISBN = "9780330700580",

    91   addendum = {\why{This book describes exoitic cases where the human

    92                   mind goes wrong. The section on proprioception is

    93                   particurally relevant to this thesis, and one of the

    94                   best explinations of how important proprioception

    95                   is, though the eyes of someone who has lost the

    96                   sense.}}

    97 }

    98 

    99 @article{turing-test,

   100   title={Computing machinery and intelligence},

   101   author={Turing, Alan M.},

   102   journal={Mind},

   103   pages={433--460},

   104   year={1950},

   105   publisher={Thomas Nelson and Son, Ltd.},

   106   note = {Available as: \url{http://www.csee.umbc.edu/courses/471/papers/turing.pdf}},

   107   addendum = {\why{The original paper that inspired the Turing test.

   108                   It's important because in it Turing states that we

   109                   don't have to care about the ``hand'' part of ``mind

   110                   and hand'', using the example of Helen Keller as

   111                   motivation. I think that this is a mistake, and that

   112                   embodiment is critical to intelligence.}}

   113 } 

   114 

   115 @book{9.01-textbook,

   116   author="Bear and Mark F. and Barry W. Connors and Michael A.",

   117   title="Neuroscience: Exploring the Brain.",

   118   publisher="Lippincott Williams \& Wilkins",

   119   edition="3rd Edition",

   120   year="2006",

   121   ISBN = "9780781760034",

   122   addendum={\why{This is the introductory textbook to 9.01. It

   123                   provides a good introduction to all major human

   124                   senses.}}

   125 }

   126 

   127 @article{brooks-representation,

   128  author = {Brooks, Rodney A.},

   129  title = {Intelligence Without Representation},

   130  journal = {Artificial Intelligence},

   131  volume = {47},

   132  number = {1-3},

   133  month = {2},

   134  year = {1991},

   135  pages = {139--159},

   136  publisher = {Elsevier Science Publishers Ltd.},

   137  address = {Essex, UK},

   138  note = {Available at :

   139          \url{http://people.csail.mit.edu/brooks/papers/representation.pdf}},

   140  addendum = {\why{Presents an argument that simulation will not be enough

   141                   to develop artificial intelligence, and that we must

   142                   rely on the real world and robots if we are to build

   143                   truly robust systems. While {\tt CORTEX} embraces

   144                   simulation because of TIme, this paper remains a

   145                   compelling argument for why the entire enterprise

   146                   might not even be a good idea.}}

   147 }

   148 

   149 @mastersthesis{larson-symbols,

   150   author = "Larson, Stephen David",

   151   title = "Intrinsic representation : bootstrapping symbols from experience",

   152   school = "MIT",

   153   year = "2003",

   154   note = "Available at: \url{http://hdl.handle.net/1721.1/28462}",

   155   addendum = {\why{This is an example of a thesis that I think could

   156                   be improved with {\tt CORTEX}. Larson uses a simple

   157                   blocks world simulator to explore using

   158                   self-organizing maps to bootstrap symbols just from

   159                   exploration with a simule arm and colored blocks.}}

   160 }

   161 

   162 @phdthesis{sussman-hacker,

   163   author = "Sussman, Gerald J.",

   164   title = "A Computational Model of Skill Acquisition",

   165   school = "MIT",

   166   year = "1973",

   167   note = "Available at: \url{http://hdl.handle.net/1721.1/6894}",

   168   addendum = {\why{Sussman creates a program called {\tt HACKER},

   169                   which operates in a blocks world environment and

   170                   learns to debug programs to build things with blocks

   171                   and control its own body. This sort of approach to

   172                   problem solving is begging to be implemented in {\tt

   173                   CORTEX}'s rich world. Will program debugging still

   174                   work well with many more senses and a more

   175                   complicated environement?}}

   176 }

   177 

   178 @phdthesis{coen-x-modal,

   179   author = "Coen, Michael Harlan",

   180   title = "Multimodal dynamics : self-supervised learning in perceptual and motor systems",

   181   school = "MIT",

   182   year = "2006",

   183   note = "Available at: \url{http://hdl.handle.net/1721.1/34022}",

   184   addendum = {\why{This thesis shows how to use multiple senses to

   185                   mutually bootstrap off of each other and achieve

   186                   clustering results that no sense could be able to

   187                   achieve alone. Cross-modal clustering becomes more

   188                   powerful the more senses it has, and is ideal to

   189                   implement in an environment such as {\tt CORTEX}'s.}}

   190 }

   191
author	Robert McIntyre <rlm@mit.edu>
date	Sun, 30 Mar 2014 00:53:14 -0400
parents	f648f8cc3b63
children	c11d3fc3e6f0