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Genetic Algorithm Approaches to Prebiobiotic Chemistry ModelingWe model an artificial chemistry comprised of interacting polymers by specifying two initial conditions: a distribution of polymers and a fixed set of reversible catalytic reactions. A genetic algorithm is used to find a set of reactions that exhibit a desired dynamical behavior. Such a technique is useful because it allows an investigator to determine whether a specific pattern of dynamics can be produced, and if it can, the reaction network found can be then analyzed. We present our results in the context of studying simplified chemical dynamics in theorized protocells - hypothesized precursors of the first living organisms. Our results show that given a small sample of plausible protocell reaction dynamics, catalytic reaction sets can be found. We present cases where this is not possible and also analyze the evolved reaction sets.
Document ID
20020050331
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Lohn, Jason
(Caelum Research Corp. Moffett Field, CA United States)
Colombano, Silvano
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
August 20, 2013
Publication Date
January 1, 1997
Subject Category
Chemistry And Materials (General)
Meeting Information
Meeting: 1998 IEEE World Congress on Computational Intelligence
Location: Anchorage, AK
Country: United States
Start Date: May 4, 1998
End Date: May 9, 1998
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
PROJECT: RTOP 632-30-00
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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