toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
  Record Links
Author (up) Cheng, K. doi  openurl
  Title Generalisation: mechanistic and functional explanations Type Journal Article
  Year 2002 Publication Animal Cognition Abbreviated Journal Anim. Cogn.  
  Volume 5 Issue 1 Pages 33-40  
  Keywords Adaptation, Physiological; Animals; Bees/*physiology; Cognition; Evolution; Models, Psychological  
  Abstract An overview of mechanistic and functional accounts of stimulus generalisation is given. Mechanistic accounts rely on the process of spreading activation across units representing stimuli. Different models implement the spread in different ways, ranging from diffusion to connectionist networks. A functional account proposed by Shepard analyses the probabilistic structure of the world for invariants. A universal law based on one such invariant claims that under a suitable scaling of the stimulus dimension, generalisation gradients should be approximately exponential in shape. Data from both vertebrates and invertebrates so far uphold Shepard's law. Some data on spatial generalisation in honeybees are presented to illustrate how Shepard's law can be used to determine the metric for combining discrepancies in different stimulus dimensions. The phenomenon of peak shift is discussed. Comments on mechanistic and functional approaches to generalisation are given.  
  Address Department of Psychology, Macquarie University, Sydney, NSW 2109, Australia.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1435-9448 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:11957400 Approved no  
  Call Number Equine Behaviour @ team @ Serial 2612  
Permanent link to this record
Select All    Deselect All
 |   |