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. 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 }

    19 

    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 } 

    37 

    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 } 

    52 

    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 }

    70 

    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 }

    86 

    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 }

   100 

   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 } 

   116 

   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 }

   128 

   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 }

   150 

   151 

   152 @article{quake-place-cells,

   153  author = {Christopher D. Harvey and Forrest Collman and Daniel A. Dombec and David W. Tank},

   154  title = {Intracellular dynamics of hippocampal place cells during virtual navigation},

   155  journal = {Nature},

   156  volume = {461},

   157  month = {8},

   158  pages = {941-946},

   159  note = {Available at : 

   160          \url{http://papers.cnl.salk.edu/PDFs/Intracelllular Dynamics of Virtual Place Cells 2011-4178.pdf}},

   161  addendum = {\why{Researchers at Princeton created a special Quake II

   162                   level that simulated a maze, and added an interface

   163                   where a mouse could run on top of a ball in various

   164                   directions to move the character in the simulated

   165                   maze. They measured hippocampal activity during this

   166                   exercise to try and tease out the method in which

   167                   spatial data was stored in that area of the brain. I

   168                   find this promising because it shows that simulated

   169                   worlds are still clear enough for a simple rat to

   170                   navigate --- they don't just have meaning from our

   171                   own highly advanced imaginations. I want to see if a

   172                   rat can reasonably grow up if it lives its entire

   173                   live hooked up to the game!}}

   174 }

   175 

   176 

   177 @mastersthesis{larson-symbols,

   178   author = "Larson, Stephen David",

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

   180   school = "MIT",

   181   year = "2003",

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

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

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

   185                   blocks world simulator to explore using

   186                   self-organizing maps to bootstrap symbols just from

   187                   exploration with a simulated arm and colored blocks.}}

   188 }

   189 

   190 @phdthesis{sussman-hacker,

   191   author = "Sussman, Gerald J.",

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

   193   school = "MIT",

   194   year = "1973",

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

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

   197                   which operates in a blocks world environment and

   198                   learns to debug programs to build things with blocks

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

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

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

   202                   work well with many more senses and a more

   203                   complicated environment?}}

   204 }

   205 

   206 @phdthesis{coen-x-modal,

   207   author = "Coen, Michael Harlan",

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

   209   school = "MIT",

   210   year = "2006",

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

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

   213                   mutually bootstrap off of each other and achieve

   214                   clustering results that no sense could be able to

   215                   achieve alone. Cross-modal clustering becomes more

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

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

   218 }

   219 

   220 @book{Minsky:1986:SM:22939,

   221  author = {Minsky, Marvin},

   222  title = {The Society of Mind},

   223  year = {1986},

   224  isbn = {0-671-60740-5},

   225  publisher = {Simon \& Schuster, Inc.},

   226  address = {New York, NY, USA},

   227  note = "Available at: \url{http://aurellem.org/society-of-mind}",

   228  addendum = {\why{Society of Mind has amazing idea density and is full 

   229                   of good and bad ideas. It's one of the main inspirations 

   230                   for {\tt CORTEX}.}}

   231 }

   232 

   233 @phdthesis{push,

   234   author = "Singh, Pushpinder",

   235   title = "EM-ONE : an architecture for reflective commonsense thinking",

   236   school = "MIT",

   237   year = "2005",

   238   note = "Available at: \url{http://hdl.handle.net/1721.1/33926}",

   239   addendum = {\why{Inspired by Minsky's work, Singh sought to build a simulated

   240                    environment where his creatures could learn to solve problems 

   241                    together. The code has similar concepts to \(\Phi\)-space in that 

   242                    he collects all of a creature's past experience into a vector.}}

   243 }

   244 

   245 @phdthesis{arm,

   246   author = "Atkeson, Christopher Granger",

   247   title = "Roles of knowledge in motor learning",

   248   school = "MIT",

   249   year = "1986",

   250   note = "Available at: \url{http://hdl.handle.net/1721.1/29195}",

   251   addendum = {\why{The author builds a robotic arm that can rapidly learn a 

   252                    rigid body model of itself, then refine its motions by 

   253                    practicing and gaining real-world experience. This idea of 

   254                    using real-world experience to guide actions helped inspire 

   255                    {\tt EMPATH}.}}

   256 }

   257
author	Robert McIntyre <rlm@mit.edu>
date	Mon, 12 May 2014 13:31:55 -0400
parents	1e5b5eb8c576
children	b9b8567c14ee