Show simple item record

Files in this item

FilesSizeFormatView

There are no files associated with this item.

Item metadata

dc.contributor.advisorRuxton, Graeme D.
dc.contributor.advisorLaland, Kevin N.
dc.contributor.authorOunsley, James P.
dc.coverage.spatial(xii, 200) p.en_US
dc.date.accessioned2018-07-18T10:33:41Z
dc.date.available2018-07-18T10:33:41Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/10023/15527
dc.description.abstractCulture is a hugely important process in the evolution of humans and many non-human animals. Through the formation of long lasting traditions, culture provides an extragenetic inheritance mechanism that can facilitate rapid behavioural adaptation to novel environments. This can ultimately alter the selection pressures acting on different phenotypes including those that underlie cultural transmission itself, i.e. the mechanisms of social learning. Understanding culture poses many challenges for researchers due to the complex nature of interacting biological processes at multiple organisational and temporal scales. In this thesis I investigate some of these complexities through the integration of different theoretical and statistical modelling approaches, and argue that rich models are particularly important for the study of culture. In chapters 3 & 4 I use an evolutionary agent-based model to study the functional value and cultural significance of strategically copying from other individuals based on particular cues, such as age or payoff. I find that a bias to copy the successful can provide substantial adaptive advantages, potentially outweighing other strategic considerations such as when to engage in social learning. I also demonstrate that the strength of selection on social learning strategies is closely linked to the cultural diversity within a population. In chapters 5 & 6 I study the mechanisms of learning and how social influences can impact decision making. In chapter 5 I model the behaviour of nursery children and chimpanzee groups when solving a complex task and identify clear species differences in the importance of different forms of learning on decision making. Finally, in chapter 6 I use an agent-based model to examine the influence of population structure on the spread of novel behaviour. I demonstrate that, contrary to infectious disease type models, when learning occurs through operant conditioning, highly clustered network structures promote cultural transmission rather than hinder it.en_US
dc.language.isoenen_US
dc.publisherUniversity of St Andrews
dc.subject.lccHQ783.O8
dc.subject.lccSocial learning--Mathematical models
dc.subject.lcshCulture diffusionen
dc.titleThe diffusion of culture: computational and statistical models of social learning and cultural transmissionen_US
dc.typeThesisen_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US


This item appears in the following Collection(s)

Show simple item record