Publication
The challenge of irrationality: fractal protein recipes for PI
AbstractComputational development traditionally focuses on the use of an iterative, generative mapping process from genotype to phenotype in order to obtain complex phenotypes which comprise regularity, repetition and module reuse. This work examines whether an evolutionary computational developmental algorithm is capable of producing a phenotype with no known pattern at all: the irrational number PI. The paper summarizes the fractal protein algorithm, provides a new analysis of how fractals are exploited by the developmental process, then presents experiments, results and analysis showing that evolution is capable of producing an approximate algorithm for PI that goes beyond the limits of precision of the data types used.
Download publicationAssociated Researchers
Related Resources
See what’s new.
2014
Investigating the Feasibility of Extracting Tool Demonstrations from In-Situ Video ContentShort video demonstrations are effective resources for helping users…
2015
Benefits of Visualization in the Mammography ProblemTrying to make a decision between two outcomes, when there is some…
2021
Classifying Component Function in Product Assemblies With Graph Neural NetworksFunction is defined as the ensemble of tasks that enable the product…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us