Automated Discovery of Self-Replicating Structures in Cellular Space Automata Models

dc.contributor.authorLohn, Jason D.en_US
dc.date.accessioned2004-05-31T21:05:51Z
dc.date.available2004-05-31T21:05:51Z
dc.date.created1996-08en_US
dc.date.issued1998-10-15en_US
dc.description.abstractThis thesis demonstrates for the first time that it is possible to automatically discover self-replicating structures in cellular space automata models rather than, as has been done in the past, to design them manually. Self-replication is defined as the process an entity undergoes in constructing a copy of itself. Von~Neumann was the first to investigate artificial self-replicating structures and did so in the context of cellular automata, a cellular space model consisting of numerous finite-state machines embedded in a regular tessellation. Interest in artificial self-replicating systems has increased in recent years due to potential applications in molecular-scale manufacturing, programming parallel computing systems, and digital hardware design, and also as part of the field of artificial life.en_US
dc.format.extent2731851 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/468
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtComputer Science Department Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3677en_US
dc.titleAutomated Discovery of Self-Replicating Structures in Cellular Space Automata Modelsen_US
dc.typeTechnical Reporten_US

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