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Erin J. Hastings, Ratan Guha, and Kenneth O. Stanley (2009)
Evolving Content in the Galactic Arms Race Video Game
To appear in: Proceedings of the IEEE Symposium on Computational Intelligence and Games(CIG'09). Piscataway, NJ:IEEE (8 pages)

Winner of the Best Paper Award at the 2009 IEEE Symposium on Computational Intelligence and Games

Erin J. Hastings, Ratan K. Guha, and Kenneth O. Stanley (2009)
Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game Composition
To appear in: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference Demonstration Program (AIIDE’09). Menlo Park, CA:AAAI (2 pages)

Please note: This paper is a short 2-page description of a demonstration that will be given at AIIDE'09.  Please see other papers on GAR for complete treatments.

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Sebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes and Kenneth O. Stanley (2009)
How Novelty Search Escapes the Deceptive Trap of Learning to Learn
To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2009). New York, NY:ACM (8 pages)

Winner of the Best Paper Award in the Artificial Life, Evolutionary Robotics, Adaptive Behavior, Evolvable Hardware Track at GECCO-2009

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Erin J. Hastings, Ratan K. Guha, and Kenneth O. Stanley (2009)
Interactive Evolution of Particle Systems for Computer Graphics and Animation
To appear in: IEEE Transactions on Evolutionary Computation, New York: IEEE Press, 2009. (Manuscript 15 pages)

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Amy K. Hoover and Kenneth O. Stanley (2009)
Exploiting Functional Relationships in Musical Composition
To appear in: Connection Science Special Issue on Music, Brain, & Cognition. Abington, UK: Taylor & Francis, 2009 (Manuscript 33 pages)

Note: This paper is accompanied with a set of musical samples at http://eplex.cs.ucf.edu/neatmusic

Note: This is a preprint of the article accepted in Connection Science © 2009 Taylor & Francis. The journal version of the article is available online at informaworld^TM at
http://www.informaworld.com/smpp/content~content=a911513244~db=all?jumptype=alert&alerttype=author,email

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Kenneth O. Stanley, David B. D'Ambrosio, and Jason Gauci (2009)
A Hypercube-Based Indirect Encoding for Evolving Large-Scale Neural Networks
To appear in: Artificial Life journal 15(2). Cambridge, MA: MIT Press, 2009 (Manuscript 39 pages)

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Joel Lehman and Kenneth O. Stanley (2008)
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty
To appear in: Proceedings of the Eleventh International Conference on Artificial Life (ALIFE XI). Cambridge, MA: MIT Press, 2008 (8 pages)

Note: This paper is accompanied with version 1.0 of the Novelty Search C++ software found here.

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David B. D'Ambrosio and Kenneth O. Stanley (2008)
Generative Encoding for Multiagent Learning
In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008). New York, NY: ACM, 2008 (8 pages)

Winner of the Best Paper Award in Generative and Developmental Systems at GECCO-2008

Note: This paper is accompanied with a set of videos at http://eplex.cs.ucf.edu/multiagenthyperneat

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Jason Gauci and Kenneth O. Stanley (2008)
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-2008). Menlo Park, CA: AAAI Press, 2008 (6 pages)

Note: This paper is accompanied with version 2.4 of the HyperNEAT software found here.

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Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell and Kenneth O. Stanley (2008)
Picbreeder: Evolving Pictures Collaboratively Online
In: Proceedings of the Computer Human Interaction Conference (CHI 2008). New York, NY: ACM, 2008 (10 pages)

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Amy K. Hoover, Michael P. Rosario, and Kenneth O. Stanley (2008)
Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs
In: Proceedings of the Sixth European Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2008). New York, NY: Springer, 2008 (10 pages)

Winner of the Best Paper Award at EvoMUSART 2008

Note: This paper is accompanied with a set of musical samples at http://eplex.cs.ucf.edu/neatdrummer

Note: The official Springer-Verlag version of this article is available at:
http://www.springerlink.com/content/e460174k81226827/

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Jason J. Gauci and Kenneth O. Stanley (2007)
Generating Large-Scale Neural Networks Through Discovering Geometric Regularities
In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007). New York, NY: ACM, 2007 (8 pages)

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David B. D'Ambrosio and Kenneth O. Stanley (2007)
A Novel Generative Encoding for Exploiting Neural Network Sensor and Output Geometry
In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007). New York, NY: ACM, 2007 (8 pages)

Nominated for Best Paper Award in Generative and Developmental Systems at GECCO-2007

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Kenneth O. Stanley (2007)
Compositional Pattern Producing Networks: A Novel Abstraction of Development
In: Genetic Programming and Evolvable Machines Special Issue on Developmental Systems 8(2): 131-162.  New York, NY: Springer, 2007 (36 pages)

Springer link to article in publication format (requires subscription to Springer): http://www.springerlink.com/content/804411v3703ph210/

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Erin Hastings, Ratan Guha, and Kenneth O. Stanley (2007)
NEAT Particles: Design, Representation, and Animation of Particle System Effects
In: Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG'07). Piscataway, NJ: IEEE, 2007 (7 pages)

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Kenneth O. Stanley (2006)
Patterns Without Development
University of Central Florida Dept. of EECS Technical Report CS-TR-06-01 (40 pages)

Please note: This technical report is no longer available because it has been superceded by the journal article "Compositional Pattern Producing Networks: A Novel Abstraction of Development" (above)  

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Kenneth O. Stanley (2006)
Exploiting Regularity Without Development
In: Proceedings of the AAAI Fall Symposium on Developmental Systems. Menlo Park, CA: AAAI Press, 2006 (8 pages)

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Kenneth O. Stanley (2006)
Comparing Artificial Phenotypes with Natural Biological Patterns
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Workshop Program. New York, NY: ACM Press, 2006 (2 pages)