Title :
A simulation study of the simplest adaptive virtual animal learning model with classification and integration networks
Author :
Takeuchi, Johane ; Yamada, Hitoshi ; Ichikawa, Michinori
Author_Institution :
Lab. for Brain-Operative Devices, Riken BSI, Wako, Japan
Abstract :
This simulation study is that a synthetic organism explores a world where it has to learn to select foods while avoiding poisons for its survival. The small network model using logic neurons with the simple learning mechanism is constructed to archive die task. We think that this model expresses the mechanism of the part of large neurons in the brain.
Keywords :
artificial life; intelligent robots; learning (artificial intelligence); living systems; simulation; adaptive virtual animal learning model; artificial organism model; brain functions; classification network; deterministic series of actions; food selection; integration network; living small animals; poisons avoidance; simple learning mechanism; simulation study; synthetic organism; virtual two dimensional cage; Animals; Artificial neural networks; Biological neural networks; Biological system modeling; Brain modeling; Logic; Neurons; Organisms; Robot sensing systems; Toxicology;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1201959
