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Title |
Author |
Notes |
Publisher |
Date |
Where |
Website |
|
Evolvable
Components |
Lukas Sekanina |
Overview of evolving hardware |
Springer |
2003 |
Berlin, Heidelberg, NY |
|
The mind, the brain, and
complex adaptive systems |
Harold Morowitz, Jerome Singer (editors) |
Antrobus essay on NN and dreams!, Churchland
essay good theoretical, reduction etc. |
Addison-Wesley |
1995 |
Reading, MA |
|
Memory and Dreams |
George Christos |
Spurious memories, theories of purposes og
dreaming |
Rutgers University Press |
2003 |
USA |
|
Towards an Evolutionary
Biology of language |
Joseph Lieberman |
Motor skills (pattern generators) repurposed
for syntax |
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What is thought |
Eric baum |
Thought is the execution of special computer code that
composes the mind. |
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Verilog
Quickstart! |
James M. Lee |
Intro to programming in verilog |
Kluwer Academic |
1999 |
Boston/Dordrecht/London |
|
Creativity (flow and the
psychology of discovery and invention) |
Mihaly Csikszentmihalyi |
Represents social/domain view of creativity |
Harper Perennial |
1996 |
New York |
|
The Creative Mind |
Margaret A. Boden |
Lays out types of creativity well, ind. vs.
historical etc.early chapters good |
Routledge |
2004 |
London/NY |
|
The Quantum Brain |
Jefferey Satinover |
Great discussion of CAM brain machine project and evolved HW |
John Wiley and Sons inc. |
2001 |
NY/Chichester/Brisbane/Singapore/Toronto |
|
Creativity and Beyond
(Cultures, Values, and Change) |
Robert Paul Weiner |
Great coverage of the origin of the concept of creativity in
the west |
SUNY press |
2000 |
Albany, NY |
|
The Neurobiology of Neural
networks |
Daniel Gardner (editor) |
Good
intro to NN theory, essays #5 - #7 good examples of tying NN to motor
coordination and sensory data |
MIT press |
1993 |
Cambridge, MA |
|
Artificial
Intelligence: Structures and Startegies for Complex Problem Solving |
George F. Luger |
ch.10 on NN good intro, overview |
Addison-Wesley |
2002 |
|
The Computational Beauty of
Nature |
Gary
William Flake |
Nice overview of biologically inspired
computation. Good intro to Nns. |
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Verilog HDL |
Samir Palnitkar |
Intro to programming in Verilog |
Sun Microsystems Press |
2003 |
Palo Alto, CA |
|
FPGAs implementations of
Neural Networks |
Editors: Amos R. Omondi and Jagath C.
Rajapakse |
|
Springer |
2006 |
Dordrecht, the Netherlands |
|
Adaptation in Natural and
Artificial Systems |
John Holland |
|
1975 |
|
Genetic Programming: On the
Programming of Computers by Means of Natural Selection |
John Koza |
|
1992 |
|
Computational Statistics: an
introduction |
James E. Gentle, Wolfgang Härdle, Yuichi
Mori |
Great explanation of Gas and selection methods |
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|
http://www.quantlet.com/mdstat/scripts/csa/html/csahtml.html |
|
Cartesian
Genetic Programming |
Miller and Thomson |
Abstract |
Springer |
2000 |
Berlin
/ Heidelberg |
http://www.springerlink.com/content/h8k8v4l23bg74x7p/ |
|
Introduction
to Evolvable Hardware: A practical guide for designing self-adaptive systems |
Garrison W. Greenwood, Andrew M. Tyrell |
It is actually a pretty good practical guide, clear
explanations of how to make things work |
IEEE Press, John Wiley and Sons, Inc., Publication |
2007 |
Hoboken, NJ |
|
Evolutionary robotics: From
algorithms to implementations |
Lingfeng Wang, Kay Chen Tan, Chee Meng Chew |
Nice demonstration of how EHW applies to real robotics |
World Scientific |
2006 |
New
Jersey, London, Singapore, Beijing, Shanghai, Hong Kong, Taipei, Chennai |
|
Evolutionary Electronics:
Automatic Design of Electronic circuits and systems by genetic algorithms |
Ricardo Salem Zebulum, Marco Aurelio C.
Pacheco, Marley Maria B.R. Vellasco |
Good explanation of Gas and the underpinning biology |
CRC Press |
2002 |
Boca
Raton, London, New York, Washington D.C. |
|
Evolvable
Hardware |
Tetsuya Higuchi, Yong Liu, Xin Yao |
More of the same from the other EHW books,
not quite as clear as Evolvable Components annotated above |
Springer |
2006 |
|
Neural Networks &
Psychopathology |
Dan J. Stein
and Jacques Ludik (editors) |
Really good introduction to the subject.
What are Nns and how do they apply to psychological research. |
Cambridge University Press |
1998 |
Cambridge |
Ebrary |
|
Hebbian
Learning and Negative Feedback Networks |
Colin Fyfe |
The PCA chapter really helped me understand
Oja and Sanger's rules and how it all related to other Hebbian learning |
Springer |
2005 |
USA |
|
Principal Component Neural
Networks |
K. I. Diamantaras, S. Y. Kung |
Another source on PCA Nns. More confusing
than others. |
John Wiley & Sons Inc. |
1996 |
NY,
Chichester, Brisbane, Toronto, Singapore |
|
Theoretical
Neuroscience |
Peter Dayan and L.F. Abbott |
Another source on Nns for psychological
research. More confusing than the others. |
MIT press |
2001 |
Cambridge, MA, London,
England |
|
Creative Evolutionary Systems |
David W. Corne and Peter J. Bentley |
Amazing compendium of work in the field |
Morgan
Kaufmann |
2002 |
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ARTICLES |
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A Quantitative Model of
Seminal Cognition: The Creativity Machine Paradigm (US Patent # 5,659,666) |
Stephen L. Thaler |
Claims to have invented a creativity machine. Noise as input
to trained NN. Good explanation. Very similar to dream models and contextual
relevance theories |
Adapted from the MIND II conference |
1997 |
Dublin |
www.imagination-engines.com |
|
“What” and “where” is design
creativity: a cognitive model for the emergence of creative design |
Yu-Tung Liu |
Distinguishes b/t scopes of creativity;
Csikszentmihalyi's social concept (where is creativity) and Simon's personal
concept (what is creativity) |
IDATER 96 Loughborough University |
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Computers and Creativity |
Bipin Indurkhya |
Computers are naturally pre-disposed to be
creative |
International Institute of Information Technology |
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Wandering Minds: The Default
Network and Stimulus-Independent Thought |
Malia F. Mason, Michael I. Norton, John D. Van Horn, Daniel M. Wegner, Scott T.
Grafton, C. Neil Macrae |
Day dreaming study |
Science volume 315, no. 5810, pp. 393 – 395 |
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A surprising connection
between memory and imagination |
Greg Miller |
Memory and imagination share circuitry.
People w/ amnesia have a hard time imagining future scenarios. Hippocampus
and cognition linked. Ability to imagine/predict future bound to memory |
Science volume 315, no. 5810, p. 312 |
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Designing Electronic Circuits
Using Evolutionary Algorithms. Arithmetic Circuits: A Case Study |
J. F. Miller, P. Thomson, T. Fogarty |
Intro to approaches used for evolving circuits |
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Hardware
Evolution: Automatic design of electronic circuits in reconfigurable hardware
by artificial evolution |
Adrian Thompson |
Thompson pretty much started the EHW field |
Doctoral thesis; published by Springer |
1996 |
|
http://www.cogs.susx.ac.uk/users/adrianth/ade.html |
|
The 'Evolvable Motherboard'. A test Platform for the Research of
Intrinsic Hardware Evolution |
Paul Layzell |
Description of the project |
Research paper |
1998 |
|
http://www.cogs.susx.ac.uk/users/adrianth/lazwebpag/web/ |
|
The sound gallery: an
interactive A-life artwork |
Sam Woolf |
EHW thesis/art installation |
In the Creative Evolutionary Systems book, pp. 223-250 |
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Evolving
Hardware by Dynamically Reconfiguring Xilinx FPGAs |
Andres Upegui, Eduardo Sanchez |
Thesis in EHW |
Ecole Polytechnique Federale de Lausanne |
|
|
http://lslwww.epfl.ch/~upegui/docs/Upegui_ICES05.pdf |
|
Designer Genetic Algorithms:
Genetic Algorithms in Structure Design |
Louis, S.J. And Rawlins, J.E. |
First paper in ehw field |
ICGA-91 in Proc.
Of the fourth International Conference on Genetic Algorithms |
1991 |
|
Explorations
in Design Space: Unconventional electronics design through artificial
evolution |
Adrian Thompson, Paul Layzell, Ricardo Salem
Zebulum |
Image and description of Thompson's evolved tone discriminator |
|
1999 |
|
http://www.cogs.susx.ac.uk/users/adrianth/TEC99/node26.html |
|
Palimpsest Memories: a new
high-capacity forgetful learning rule for Hopfield networks |
Amos Storkey |
|
Pre-print online |
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|
http://citeseer.ist.psu.edu/cache/papers/cs/18508/http:zSzzSzwww.anc.ed.ac.ukzSz~amoszSzpalimp.pdf/storkey98palimpsest.pdf |
|
Neural networks as models of
psychopathology |
Lars Aackerlund and Ralf Hemmingsen |
Just what the title says |
Biological Psychiatry 43; pp. 471-482 |
1998 |
|
Continuous Learning in
Sparsely Connected Hopfield Nets |
Ben Goertzel
and Julian Troianov |
Most neural nets are goal driven. This
article discusses aproaches to continuous, changing learning |
IntelliGenesis Corp. online |
|
|
http://www.goertzel.org/papers/ANNPaper.html |
|
Optimal Unsupervised Learning
in a Single Layer Linear Feedback Network |
Terence D, Sanger |
The original sanger's rule paper |
Neural Networks, vol. 2, pp. 459-473 |
1989 |
USA |
|
Intrinsic Embedded Hardware
Evolution of Blocks-based Neural Networks |
Saumil G. Merchant, Gregory D. Peterson,
and Seong G. Kong |
Student paper from U of Tennesee. |
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|
http://ww1.ucmss.com/books/LFS/CSREA2006/ERS8210.pdf |
|
Neural Dimensionality
Reduction for Document Processing |
Mathieu Delichère and Daniel Memmi |
PCA neural
network for document processing |
European Symposium on Artificial Neural Networks |
2002 |
Belgium |
http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2002-252.pdf |
|
Neural Network models of
Schizophrenia |
Ralph E. hoffman |
|
Neuroscientist |
2001 |
|
Attractor Dynamics in the Hippocampal Representation of the
Local Environment |
Tom J. Wills, Colin Lever, Francesca
Cacucci, Neil Burgess, John O'Keefe |
Attractors in memory study on rats |
Science Vol. 308. no. 5723, pp. 873 – 876 |
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LINKS |
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|
Title |
Notes |
Link |
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BBC Reith
lectures 2003 |
Vilayanur S Ramachandran on hantom limbs,
language and sound, synesthesia |
http://www.bbc.co.uk/radio4/reith2003/lecturer.shtml |
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Cell matrix |
Reconfigurable platform for efficient evolution of circuits?? |
http://www.cellmatrix.com |
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Carnegie Mellon AI group FAQ |
Great explanation of evo comp variations |
http://www.cs.cmu.edu/Groups/AI/html/faqs/ai/genetic/part2/faq-doc-3.html |
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PDP++ home page |
Free simulator for O'reilly examples in book |
http://psych.colorado.edu/~oreilly/PDP++/PDP++.html |
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Peltarion
blog |
This person has a free simulator for data mining and writes
about various neural network/ data analysis stuff in a clear straight-forward
way |
http://blog.peltarion.com/2006/06/20/the-talented-drhebb-part-2-pca/ |
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Attentional
deficits in schizophrenia: a real-world neural network |
Sounds like an amazing project proposal |
http://www.research-projects.unizh.ch/p1025.htm |
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Associative
Memories: Hopfield Model |
Good Hopfield explanation |
http://www.comp.nus.edu.sg/~pris/AssociativeMemory/HopfieldModel.html |
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Neural
Nets: Dr K Gurney |
Great online free NN book |
http://www.shef.ac.uk/psychology/gurney/notes/contents.html |
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Neural Networks at your
fingertips |
Free code examples of many popular Nns |
http://www.neural-networks-at-your-fingertips.com/ |
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Introduction to Neural
Networks with Java |
Code oriented explanation of Kohonen
self-organizing map; part of larger book |
http://www.heatonresearch.com/articles/6/page1.html |
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Computer Vision Test Images |
Lots of image libraries from academia for computer vision.
Many broken links. |
http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-images.html |
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Developments in Artificial
Intelligence |
Interesting chronicle of the political nature of funding for
research |
http://books.nap.edu/readingroom/books/far/ch9.html |
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Wikipedia
on Artificial Creativity |
Interesting it was listed at all... Some decent links |
http://en.wikipedia.org/wiki/Artificial_Creativity |
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The Further Exploits of Aaron
the Painter |
AI painting robot |
http://www.stanford.edu/group/SHR/4-2/text/cohen.html |
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Computational beauty of
Nature Source Code |
Helpful examples of lots of Alife stuff |
http://mitpress.mit.edu/books/FLAOH/cbnhtml/source.html |
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Imagination Engines Inc. |
Stephen Thaler's Creativity Machine business |
http://www.imagination-engines.com/pcai1.htm |
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Connectionist
Models of schizophrenia and delusional disorders |
Amazing bibliography of this kind of work and discussion |
http://www.cnbc.cmu.edu/Resources/disordermodels/schizophrenia.html |
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Connectionist
Models of Mental Disorder |
Resource site |
http://www.cnbc.cmu.edu/Resources/disordermodels/ |
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VIDA 5.0 –
Carnevale |
This project inspired me years ago... I still like it. |
http://www.fundacion.telefonica.com/at/vida/paginas/v5/ecarnevale.html |
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What is reconfigurable
Computing? |
Resource site |
http://pw1.netcom.com/~optmagic/reconfigure/whatisrc.html |
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Eigenfaces
group |
Great Eigenface library for Python |
http://www.owlnet.rice.edu/~elec301/Projects99/faces/ |
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