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From Cognitive Maps to Cognitive Graphs
by
Warren, William H.
, Chrastil, Elizabeth R.
in
Adult
/ Animal cognition
/ Biology and Life Sciences
/ Coffee
/ Cognition - physiology
/ Cognitive ability
/ Cognitive maps
/ Cognitive models
/ Computer networks
/ Female
/ Humans
/ Knowledge
/ Learning
/ Learning - physiology
/ Male
/ Maze Learning - physiology
/ Memory
/ Orientation - physiology
/ Pattern Recognition, Visual - physiology
/ Social Sciences
/ Space Perception - physiology
/ Spatial discrimination
/ User-Computer Interface
2014
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From Cognitive Maps to Cognitive Graphs
by
Warren, William H.
, Chrastil, Elizabeth R.
in
Adult
/ Animal cognition
/ Biology and Life Sciences
/ Coffee
/ Cognition - physiology
/ Cognitive ability
/ Cognitive maps
/ Cognitive models
/ Computer networks
/ Female
/ Humans
/ Knowledge
/ Learning
/ Learning - physiology
/ Male
/ Maze Learning - physiology
/ Memory
/ Orientation - physiology
/ Pattern Recognition, Visual - physiology
/ Social Sciences
/ Space Perception - physiology
/ Spatial discrimination
/ User-Computer Interface
2014
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Do you wish to request the book?
From Cognitive Maps to Cognitive Graphs
by
Warren, William H.
, Chrastil, Elizabeth R.
in
Adult
/ Animal cognition
/ Biology and Life Sciences
/ Coffee
/ Cognition - physiology
/ Cognitive ability
/ Cognitive maps
/ Cognitive models
/ Computer networks
/ Female
/ Humans
/ Knowledge
/ Learning
/ Learning - physiology
/ Male
/ Maze Learning - physiology
/ Memory
/ Orientation - physiology
/ Pattern Recognition, Visual - physiology
/ Social Sciences
/ Space Perception - physiology
/ Spatial discrimination
/ User-Computer Interface
2014
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Journal Article
From Cognitive Maps to Cognitive Graphs
2014
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Overview
We investigate the structure of spatial knowledge that spontaneously develops during free exploration of a novel environment. We present evidence that this structure is similar to a labeled graph: a network of topological connections between places, labeled with local metric information. In contrast to route knowledge, we find that the most frequent routes and detours to target locations had not been traveled during learning. Contrary to purely topological knowledge, participants typically traveled the shortest metric distance to a target, rather than topologically equivalent but longer paths. The results are consistent with the proposal that people learn a labeled graph of their environment.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
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