Title :
A minimal neural network for target searching and danger avoidance by smell
Author :
Kheng Leow, Wee ; Chyi Yee, Hsueh
Author_Institution :
Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore
Abstract :
Research on sensory-motor coordination has attracted an increasing amount of interests recently. However, these works have been focused almost exclusively on visuomotor coordination. Research on olfactory-motor coordination, on the other hand, has been lacking. This paper contributes to the study of olfactory-motor coordination by devising a minimal neural network that allows a simulated creature to search for food and to avoid danger by smell
Keywords :
artificial intelligence; chemical sensors; chemioception; neural nets; danger avoidance; minimal neural network; olfactory-motor coordination; simulated creature; smell; target searching; Animals; Chemical sensors; Computer science; Food industry; Information systems; Linear approximation; Mobile robots; Neural networks; Neurophysiology; Olfactory;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.611734