dc.contributor.advisor | Gerald Sussman | |
dc.contributor.author | Beal, Jacob | |
dc.contributor.other | Mathematics and Computation | |
dc.date.accessioned | 2007-04-12T20:21:45Z | |
dc.date.available | 2007-04-12T20:21:45Z | |
dc.date.issued | 2007-04-12 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/37152 | |
dc.description.abstract | Principles 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.extent | 28 p. | |
dc.relation.ispartofseries | Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory | |
dc.subject | artificial intelligence | |
dc.subject | amorphous computing | |
dc.title | Principles for Engineered Emergence (slides) | |