| dc.creator |
D'Hulst, R |
|
| dc.creator |
Rodgers, GJ |
|
| dc.date |
2006-10-27T14:27:02Z |
|
| dc.date |
2006-10-27T14:27:02Z |
|
| dc.date |
2001 |
|
| dc.date.accessioned |
2022-05-25T13:06:45Z |
|
| dc.date.available |
2022-05-25T13:06:45Z |
|
| dc.identifier |
Physica A, 324(1): 323-329(7), Jun 2003 |
|
| dc.identifier |
http://www.ingentaconnect.com/content/els/03784371 |
|
| dc.identifier |
http://bura.brunel.ac.uk/handle/2438/309 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/163648 |
|
| dc.description |
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. |
|
| dc.format |
271051 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
Elsevier Science |
|
| dc.subject |
Statistical mechanics |
|
| dc.subject |
Disordered systems and neural networks |
|
| dc.title |
Efficiency and persistence in models of adaptation |
|
| dc.type |
Research Paper |
|
| dc.coverage |
4 |
|