Team:Calgary Software/Project

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Revision as of 18:58, 10 June 2008

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	Team Example 2

Overall project

EvoGEM is an agent based system which seeks to design iGEM "genetic circuits" by harnessing the power of evolutionary design. In this design methodology, the paradigm of evolution is harnessed in order to select for efficient designs. The survival criteria are determined by the purpose for which these circuits are built, and those that fulfill that purpose well survive and create even better offspring while those that fail to please the criteria, are thrown away from the gene pool. The powerful agent based logic which allows for minimal pre-assumptions about the overall behavior of the system, along with the empirically proven evolutionary design create superb system that is able to both emulate and develop iGEM circuits.

EvoGEM was briefly presented during the 2007 iGEM jamboree and has sparked quite a lot of interest amongst the different teams. This summer, our team plans to further develop the fitness function EvoGEM employs, introduce more complex pattern recognition, and test the system under a much larger search space than before. The final goal is to produce a system sophisticated enough to rebuild working designs from previous years' teams' projects, as well as intelligent enough to simulate successes and failures of working and non-working systems, respectively.

The main focus of this project is to build perl scripts that will support EvoGEM's requirements of a flat file registry, and develop the EvoGEM code to include the behaviors specified before.

Project Details

Part 2 The Experiments

Part 3

Results

The Project

Home	The Team	Parts Submitted to the Registry	Modeling	Notebook

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 <p>
-EvoGEM is an agent based system which seeks to design iGEM "genetic circuits" by harnessing the power of evolutionary design. In this design methodology, the paradigm of evolution is harnessed in order to select for efficient designs. The survival criteria are determined by the purpose for which these circuits are built, and those that fulfill that purpose well survive and create even better offspring while those that fail to please the criteria, are thrown away from the gene pool. The powerful agent based logic which allows for minimal pre-assumptions about the overall behavior of the system, along with the empirically proven evolutionary design create superb system that is able to both emulate and develop iGEM circuits.
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;EvoGEM is an agent based system which seeks to design iGEM "genetic circuits" by harnessing the power of evolutionary design. In this design methodology, the paradigm of evolution is harnessed in order to select for efficient designs. The survival criteria are determined by the purpose for which these circuits are built, and those that fulfill that purpose well survive and create even better offspring while those that fail to please the criteria, are thrown away from the gene pool. The powerful agent based logic which allows for minimal pre-assumptions about the overall behavior of the system, along with the empirically proven evolutionary design create superb system that is able to both emulate and develop iGEM circuits.
 </p>
 <p>
-EvoGEM was briefly presented during the 2007 iGEM jamboree and has sparked quite a lot of interest amongst the different teams. This summer, our team plans to further develop the fitness function EvoGEM employs, introduce more complex pattern recognition, and test the system under a much larger search space than before. The final goal is to produce a system sophisticated enough to rebuild working designs from previous years' teams' projects, as well as intelligent enough to simulate successes and failures of working and non-working systems, respectively.
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;EvoGEM was briefly presented during the 2007 iGEM jamboree and has sparked quite a lot of interest amongst the different teams. This summer, our team plans to further develop the fitness function EvoGEM employs, introduce more complex pattern recognition, and test the system under a much larger search space than before. The final goal is to produce a system sophisticated enough to rebuild working designs from previous years' teams' projects, as well as intelligent enough to simulate successes and failures of working and non-working systems, respectively.
 </p>
 <p>
-The main focus of this project is to build perl scripts that will support EvoGEM's requirements of a flat file registry, and develop the EvoGEM code to include the behaviors specified before.
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The main focus of this project is to build perl scripts that will support EvoGEM's requirements of a flat file registry, and develop the EvoGEM code to include the behaviors specified before.
 </p>