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dc.rights.licenseIn Copyrighten_US
dc.creatorHills, John Pressley
dc.date.accessioned2023-10-20T18:00:42Z
dc.date.available2023-10-20T18:00:42Z
dc.date.created1998
dc.identifierWLURG038_Hills_thesis_1998
dc.identifier.urihttps://dspace.wlu.edu/handle/11021/36435
dc.description.abstractArtificial life is concerned with the understanding of various aspects of biological systems by artificially recreating them. An emergent property of any system is a simple or complex behavior that is beyond the original programming of that system; the whole is more than the sum of its parts. In this project, an artificial system was created to study emergence and other interesting questions associated with artificial life research. Results from various experiments were positive, demonstrating behaviors more suited to given environments would emerge in those environments. Artificial life research has a promising future in the understanding of evolution and intelligence in biological life. Where traditional artificial intelligence has failed, perhaps artificial life will eventually be the key to unlock the understanding of our own intelligence.en_US
dc.format.extent27 pagesen_US
dc.language.isoen_USen_US
dc.rightsThis material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with the source.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subject.otherWashington and Lee University -- Honors in Computer Science?en_US
dc.titleEmergent Behaviors in Artificial Life with Genetic Algorithmsen_US
dc.typeTexten_US
dcterms.isPartOfWLURG038 - Student Papersen_US
dc.rights.holderHills, John Pressleyen_US
dc.subject.fastArtificial life -- Computer programsen_US
dc.subject.fastGenetic algorithmsen_US
dc.subject.fastComputer programmingen_US
local.departmentComputer Scienceen_US


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