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Principles for Engineered Emergence (slides)

dc.date.accessioned2007-04-12T20:21:45Z
dc.date.accessioned2018-11-24T10:25:26Z
dc.date.available2007-04-12T20:21:45Z
dc.date.available2018-11-24T10:25:26Z
dc.date.issued2007-04-12
dc.identifier.urihttp://hdl.handle.net/1721.1/37152
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/37152
dc.description.abstractPrinciples for Engineered EmergenceIt is difficult to establish engineering control over the behavior ofaggregates of unreliable devices with complicated interactionpatterns. I take a linguistic view of this problem, searching formechanisms that simplify the composition and abstraction ofcomplicated behaviors. From my work on various problems of aggregatecontrol in cognitive architectures and spatial computing, I havenoticed common themes in mechanisms that solve them. From these, Iextract four principles which seem to help in engineering robustaggregate behavior---self-scaling, sparseness, gradual degradation,and failure simplification---and give examples of how they can beexploited.
dc.format.extent28 p.
dc.subjectartificial intelligence
dc.subjectamorphous computing
dc.titlePrinciples for Engineered Emergence (slides)


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