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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | D'Hulst, R | - |
dc.contributor.author | Rodgers, GJ | - |
dc.coverage.spatial | 4 | en |
dc.date.accessioned | 2006-10-27T14:27:02Z | - |
dc.date.available | 2006-10-27T14:27:02Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | Physica A, 324(1): 323-329(7), Jun 2003 | en |
dc.identifier.uri | http://www.ingentaconnect.com/content/els/03784371 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/309 | - |
dc.description.abstract | A cut-and-paste model which mimics a trial-and-error process of adaptation is introduced and solved. The model, which can be thought of as a diffusion process with memory, is characterized by two properties, efficiency and persistence. We establish a link between these properties and determine two transitions for each property, a percolation transition and a depinning transition. If the adaptation process is iterated, the antipersistent state becomes an attractor of the dynamics. Extensions to higher dimensions are briefly discussed. | en |
dc.format.extent | 271051 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Elsevier Science | en |
dc.subject | Statistical mechanics | en |
dc.subject | Disordered systems and neural networks | en |
dc.title | Efficiency and persistence in models of adaptation | en |
dc.type | Research Paper | en |
Appears in Collections: | Mathematical Physics Dept of Mathematics Research Papers Mathematical Sciences |
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File | Description | Size | Format | |
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FullText.pdf | 264.7 kB | Adobe PDF | View/Open |
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