Evolved virtual creatures as content : increasing behavioral and morphological complexity

dc.contributor.advisorFussell, Donald S., 1951-
dc.contributor.advisorMiikkulainen, Risto
dc.creatorLessin, Daniel Gregoryen
dc.date.accessioned2015-02-09T20:46:16Zen
dc.date.issued2014-12en
dc.date.submittedDecember 2014en
dc.date.updated2015-02-09T20:46:16Zen
dc.descriptiontexten
dc.description.abstractThroughout history, creature-based content has been a highly valued source of entertainment. With the introduction of evolved virtual creatures (or EVCs) by Karl Sims in 1994, a new source of creature content became available. Despite their immediate appeal, however, EVCs still lag far behind their natural counterparts: Neither their morphology nor their behavior is sufficiently complex. This dissertation presents three contributions to address this problem. First, the ESP system, which combines a human-designed syllabus with encapsulation and conflict-resolution mechanisms, is used to approximately double the state of the art in behavioral complexity for evolved virtual creatures. Second, an extension to ESP is presented that allows full morphological adaptation to continue beyond the initial skill. It produces both a greater variety of solutions and solutions with higher fitness. Third, a muscle-drive system is demonstrated to embody a significant degree of physical intelligence. It increases morphological complexity and reduces demands on the brain, thus freeing resources for more complex behaviors. Together, these contributions bring evolved virtual creatures, in both action and form, a significant step closer to matching the entertainment value of creatures from the real world.en
dc.description.departmentComputer Sciencesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/28371en
dc.language.isoenen
dc.subjectArtificial lifeen
dc.subjectContent creationen
dc.subjectEvolved virtual creaturesen
dc.titleEvolved virtual creatures as content : increasing behavioral and morphological complexityen
dc.typeThesisen
thesis.degree.departmentComputer Sciencesen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

Access full-text files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
LESSIN-DISSERTATION-2014.pdf
Size:
6.16 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.84 KB
Format:
Plain Text
Description: