GAMI: genetic algorithms for motif inference|
Synopsis: In this project, we develop computational tools to infer regulatory regions in noncoding DNA, based on conservation over evolutionary time, and including biochemical data from the ENCODE project.
Current and recent collaborators: Leif Oxburgh, Carol Kim, Jim Coffman
Current staff and students: Craig Lessard, Sam McFarland, Brenna Gardner, Naomi Heuer, Amanda Castonguay, Ben Congdon-Jones
| GPS: Genome Pattern Scan|
Synopsis: In this project, we develop computational tools that identify genes that might be influenced by specific regulatory factors (specified by the user).
Collaborators: Leif Oxburgh, Mary Ann Asson-Batres
Staff and students: Sam McFarland, Craig Lessard, Jen Fetting
Gaphyl: genetic algorithms for phylogenetics|
Synopsis: Find the most plausible evolutionary relationships among species
Staff and students: Emily Greenfest, Josh Ladieu, Kevin Septor, Lunn Sawyer
REALM: A Rule-Based Evolutionary Computation Agent that Learns to Play
Winner of the 2010 Mario Learning Track and the 2010 Mario Gameplay Track at the Computational Intelligence and Games Conference, Copenhagen Denmark, August 2010
Videos of the agent
Synopsis: Using an evolutionary computation approach to learn to play Mario.
Masters project by Slawomir Bojarski
Learning to Play Unreal|
Winner of the 2009 Unreal competition at the Congress on Evolutionary Computation, Trondheim Norway, May 2009
Synposis: Development of Chimera, an evolutionary approach to learning rule-based systems and Agent Smith, an agent to play Unreal. A hand-coded version of Agent Smith won the CEC 2009 Unreal Tournament competition.
Independent study project by Ryan Small
RAMP: A Rule-Based Agent for Ms. PacMan|
Winner of the 2008 Ms. PacMan competition at the World Congress on Computational Intelligence, Hong Kong, May 2008
Synopsis: Artificial intelligence approach to game playing.
Masters project by Alan Fitzgerald
Contributors: Peter Kemeraitis
Base code and competetion run by Simon Lucas