Title :
Building and using a hierarchical representation of space
Author_Institution :
Duke Univ., Durham, NC, USA
Abstract :
We describe a computational model of spatial navigation based on experimental studies conducted with human subjects. The model builds and uses a hierarchical cognitive map of a large environment. Computer simulations show that the model correctly describes experimental results including hierarchical organization of space and distance estimation. In addition, the model predicts that the relation between reaction time and distance estimation is nonlinear.
Keywords :
cognitive systems; navigation; path planning; physiological models; psychology; computational model; distance estimation; hierarchical cognitive map; hierarchical space representation; path planning; spatial cognition; spatial navigation; Clustering algorithms; Cognition; Computational modeling; Computer simulation; Data analysis; Humans; Legged locomotion; Navigation; Nonlinear distortion; Predictive models;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223889
