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Higher-order analysis of knowledge capacity and learning potential in social animal groups

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TitleInfo
Title
Higher-order analysis of knowledge capacity and learning potential in social animal groups
Name (type = personal)
NamePart (type = family)
Greening Jr
NamePart (type = given)
Bradford
NamePart (type = date)
1985-
DisplayForm
Bradford Greening Jr
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Fefferman
NamePart (type = given)
Nina H
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Nina H Fefferman
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Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
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NamePart (type = family)
Smouse
NamePart (type = given)
Peter
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Peter Smouse
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Jordan
NamePart (type = given)
Rebecca
DisplayForm
Rebecca Jordan
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Ancel-Meyers
NamePart (type = given)
Lauren
DisplayForm
Lauren Ancel-Meyers
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2014
DateOther (qualifier = exact); (type = degree)
2014-10
CopyrightDate (encoding = w3cdtf)
2014
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
The ability to acquire increased individual knowledge through social dissemination of information is a principal benefit of social living. Information sharing among individuals offers numerous advantages from increased productivity to enhanced problem solving ability. In many cases, pathways formed for information sharing offer a compromise between time spent communicating information among participating individuals and the amount of knowledge amassed by each individual. Network models have yielded many insights into the nature of information sharing via pairwise interactions. However, for many social populations, information sharing does not occur strictly in pairs, but also in groups of three or more. Abstracting these scenarios using network models (or strictly pairwise interactions) may miss fundamental aspects driving the social dissemination of information. Here, I define and utilize a modeling framework based on simplicial sets, a concept from algebraic topology, which allows encapsulation of group interactions of arbitrary size, as well as several other features of higher-order interactions. I first present the concepts needed to implement a simplicial set model, detail advantages of the model in comparison to network models, and provide necessary mathematical definitions in an accessible manner (Chapter 1). I then use simplicial set models to investigate the effects of higher-order communication structure on the ability of a social population to build a global knowledge set (Chapter 2). I subsequently examine how placement of knowledgeable individuals within these higher-order structures affects global knowledge-building ability (Chapter 3). The results of these studies show that simplicial set models capture conceptually different social dynamics than are possible using network models. This model system allows us to investigate how information accumulates via interactions within and between sub-groups, offering insight into complex aspects of higher-order communication systems. The fundamental change in modeling strategy we offer here allows us to move from portraying knowledge as tokens passed from signaler to receiver, to portraying knowledge as building blocks from which novel ideas can emerge. Additionally, this dissertation lays the groundwork for future studies of higher-order social learning and consensus decision-making in social populations using simplicial set models that will both complement and enhance our existing knowledge of social information dissemination.
Subject (authority = RUETD)
Topic
Ecology and Evolution
Subject (authority = ETD-LCSH)
Topic
Social behavior in animals
Subject (authority = ETD-LCSH)
Topic
Learning in animals
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5990
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (ix, 131 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Bradford Greening, Jr.
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3RB7325
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Greening Jr
GivenName
Bradford
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-10-01 14:08:19
AssociatedEntity
Name
Bradford Greening Jr
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
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ETD
OperatingSystem (VERSION = 5.1)
windows xp
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