Blocking spatial navigation across environments that have a different shape.
Author(s) -
Matthew G. Buckley,
Alastair D. Smith,
Mark Haselgrove
Publication year - 2015
Publication title -
journal of experimental psychology animal learning and cognition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.041
H-Index - 71
eISSN - 2329-8464
pISSN - 2329-8456
DOI - 10.1037/xan0000084
Subject(s) - geometric shape , associative learning , contrast (vision) , representation (politics) , reciprocal , associative property , encoding (memory) , space (punctuation) , communication , blocking (statistics) , artificial intelligence , computer science , psychology , mathematics , cognitive psychology , geometry , pure mathematics , computer network , politics , political science , law , linguistics , philosophy , operating system
According to the geometric module hypothesis, organisms encode a global representation of the space in which they navigate, and this representation is not prone to interference from other cues. A number of studies, however, have shown that both human and non-human animals can navigate on the basis of local geometric cues provided by the shape of an environment. According to the model of spatial learning proposed by Miller and Shettleworth (2007, 2008), geometric cues compete for associative strength in the same manner as non-geometric cues do. The experiments reported here were designed to test if humans learn about local geometric cues in a manner consistent with the Miller-Shettleworth model. Experiment 1 replicated previous findings that humans transfer navigational behavior, based on local geometric cues, from a rectangle-shaped environment to a kite-shaped environment, and vice versa. In Experiments 2 and 3, it was observed that learning about non-geometric cues blocked, and were blocked by, learning about local geometric cues. The reciprocal blocking observed is consistent with associative theories of spatial learning; however, it is difficult to explain the observed effects with theories of global-shape encoding in their current form.
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