Solving for two unknowns: An extension of vector-based models of landmark-based navigation
Autor: | Paul S. Cooke, Bradley R. Sturz, Kent D. Bodily |
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Rok vydání: | 2011 |
Předmět: |
Male
Vector algebra Landmark Spatial Behavior Experimental and Cognitive Psychology Extension (predicate logic) Environment Models Theoretical Space (mathematics) Orientation (vector space) Young Adult Task (computing) Line segment Simultaneous equations Orientation Space Perception Humans Female Cues Psychology Algorithm Ecology Evolution Behavior and Systematics |
Zdroj: | Journal of Experimental Psychology: Animal Behavior Processes. 37:368-374 |
ISSN: | 1939-2184 0097-7403 |
DOI: | 10.1037/a0022938 |
Popis: | Vectors are mathematical representations of distance and direction information that take the form of line segments where length represents distance and orientation in space represents direction. Vector-based models have proven beneficial in understanding the spatial behavior of a variety of species in tasks that require landmark-based navigation via vector addition and vector averaging to determine a location. Extant research regarding vector-based representational and computational accounts of landmark-based navigation has involved tasks that required solving for one unknown (i.e., a location). Using a novel landmark-based navigation task, we provide evidence consistent with a form of vector algebra that involves solving two simultaneous equations with two unknowns in order to determine a location in space. Results extend vector-based accounts of landmark-based navigation and provide a novel methodological approach to the testing of mobile organisms. |
Databáze: | OpenAIRE |
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