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dc.contributor.authorIzurieta, Clemente Ignacioen
dc.date.accessioned2015-05-12T20:44:05Z
dc.date.available2015-05-12T20:44:05Z
dc.date.issued1993en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/6715en
dc.description.abstractA cognitive map is a representation of an environment that consists of both nodes and connections. How this hierarchical structure might emerge from a computational standpoint is the focus of this research. The system builds a cognitive map by traversing routes in an environment. A hierarchical structure emerges when a certain place has been visited often enough to justify its coming to be representative of an entire region. Places are considered to be connected to one another when there is a traversable route that directly links them. Each time the route is traversed, the cognitive relationship between the two places strengthens. If a place is visited often enough, it will come to symbolize an entire region. Once a region is symbolized, all other places in the region are inhibited, allowing each region to be only symbolized by one place. This process can continue indefinitely, leading to a hierarchy with more and more levels. We explore some of the properties of such a hierarchical model including how it develops and how it affects the quality of a planned route.en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.subject.lcshGeographical perceptionen
dc.subject.lcshMachine learningen
dc.titleRoute planning using an emergent hierarchical architectureen
dc.typeThesisen
dc.rights.holderCopyright 1993 by Clemente Ignacio Izurietaen
thesis.catalog.ckey263859en
thesis.degree.departmentComputer Science.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage48en
mus.data.thumbpage23en


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