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Journal articles
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Picbreeder: Collaborative Interactive Evolution of Images
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Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell and Kenneth O. Stanley (2007).
Picbreeder: Collaborative Interactive Evolution of Images.
In Leonardo (Transactions Section) Vol. 41, No. 1.
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Conference and Workshop papers
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Multi-Agent Task Allocation: Learning When to Say No
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Adam Campbell, Annie S. Wu, and Randall Shumaker (2008).
Multi-Agent Task Allocation: Learning When to Say No.
In the Proceedings of the Genetic and Evolutionary Computation Conference, pp201-208.
Atlanta, Georgia, July 12-16, 2008.
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Picbreeder: Evolving Pictures Collaboratively Online
[ pdf ]
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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.
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Learning and Exploiting Knowledge in Multi-Agent Task Allocation Problems
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Adam Campbell and Annie S. Wu (2007).
Learning and Exploiting Knowledge in Multi-Agent Task Allocation Problems.
In Proceedings of the Evolutionary Computation and Multi-Agent Systems and Simulation (ECoMASS) Workshop - GECCO 2007.
London, England, July 7-11, 2007.
CORRECTION: The value for the cell in Table 1 at 1000 tasks and 500 ticks should be 1.242, not 2.147.
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Empirical study on the effects of synthetic social structures on teams of autonomous vehicles
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Adam Campbell, Annie S. Wu, Keith Garfield, Randall Shumaker, Sean Luke, and Kenneth A. De Jong (2006).
Empirical study on the effects of synthetic social structures on teams of autonomous vehicles.
In Proceedings of IEEE International Conference on Networking, Sensing, and Control.
Fort Lauderdale, FL, April 23-25, 2006.
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The effectiveness of transferring multi-agent behaviors from a learning environment in the presence of synthetic social features
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Keith Garfield, Annie Wu, Mehmet Onal, Britt Crawford, Adam Campbell, and Randall Shumaker (2005).
The effectiveness of transferring multi-agent behaviors from a learning environment in the presence of synthetic social features.
In Proceedings of ASME International Mechanical Engineering Congress and Exposition.
Orlando, FL, November 5-11, 2005.
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