Solving for two unknowns: An extension of vector-based models of landmark-based navigation

Autor: Paul S. Cooke, Bradley R. Sturz, Kent D. Bodily
Rok vydání: 2011
Předmět:
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