Mercurial > cortex
view thesis/cortex.bib @ 495:c816594fbbe6
changes from Dylan.
author | Robert McIntyre <rlm@mit.edu> |
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date | Sat, 29 Mar 2014 23:01:49 -0400 |
parents | 092b60381af0 |
children | fa50fa72bbaa |
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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.}}16 }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 directed29 perception hypothesis}, which argues that much of30 our intelligence resides in our senses themselves,31 and our ability to direct their resources on32 imagined problems. This has had the greatest33 influence on {\tt CORTEX}.}}34 }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 more46 thoughts on how directed perception and mimicry as47 in {\tt EMPATH} might play an important role in48 intelligence.}}49 }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 environment60 similar to {\tt CORTEX} to study the evolution of a61 set of creatures as they develop to perform various62 tasks such as swimming or competing for a ball. His63 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 of66 research.}},67 }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 methods79 to detect actions in video. I consider this to be80 the wrong language for describing actions, because81 it has no way to completely describe even a simple82 action like ``curling'' form all points of view.}}83 }86 @Comment SOM larson paper88 @Comment cross modal clustering90 @COMMENT sussman's HACKER92 @comment brooks intelligence without representation94 @comment turing turing test paper