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Record 1 of 8064
Growth Control and Disease Mechanisms in Computational Embryogeny
External Online Source: hdl:2014/41668
Author and Affiliation:
Shapiro, Andrew A.(California Inst. of Tech., Pasadena, CA, United States)
Yogev, Or(Jet Propulsion Lab., California Inst. of Tech., Pasadena, CA, United States)
Antonsson, Erik K.(California Inst. of Tech., Pasadena, CA, United States)
Abstract: This paper presents novel approach to applying growth control and diseases mechanisms in computational embryogeny. Our method, which mimics fundamental processes from biology, enables individuals to reach maturity in a controlled process through a stochastic environment. Three different mechanisms were implemented; disease mechanisms, gene suppression, and thermodynamic balancing. This approach was integrated as part of a structural evolutionary model. The model evolved continuum 3-D structures which support an external load. By using these mechanisms we were able to evolve individuals that reached a fixed size limit through the growth process. The growth process was an integral part of the complete development process. The size of the individuals was determined purely by the evolutionary process where different individuals matured to different sizes. Individuals which evolved with these characteristics have been found to be very robust for supporting a wide range of external loads.
Publication Date: Jan 01, 2008
Document ID:
20100040448
(Acquired Dec 06, 2010)
Subject Category: LIFE SCIENCES (GENERAL)
Document Type: Preprint
Financial Sponsor: Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United States
Organization Source: Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United States
Description: 10p; In English; Original contains color illustrations
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: DISEASES; EMBRYOLOGY; GENETIC ALGORITHMS; THREE DIMENSIONAL MODELS; CELLS (BIOLOGY); METABOLISM; GENES; THERMODYNAMICS; FINITE ELEMENT METHOD; ANISOTROPY
Other Descriptors: GENETIC ALGORITHM; ARTIFICIAL CELL; FINITE ELEMENT; STRESSES; INDIRECT ENCODING
Availability Source: Other Sources
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