Name
Abstract | ||
|---|---|---|
All living organisms can learn the behavior appropriate to the environment. The learning process is, however, seems to be the convergence to the adapted behavior rather than learning. Living organisms can create the appropriate behavior through the behavior control in the environment. We so far proposed the novel learning scheme called tacit learning based on this feature of biological learning system. In this system, there is no explicit distinction between the behavior control and the adaptation. The primitive behaviors that consist of the reflex motions and the instinctive behaviors are tuned to the sophisticated behaviors adapted to the environment. We will introduce in this paper that the fundamental idea of tacit learning and show the simulation and experimental results of creating bipedal walking and the trajectories for obstacle avoidance of the mobile vehicle. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MHS.2012.6492479 | MHS |
Keywords | Field | DocType |
simulation results,cognition,living systems,experimental results,biological learning system,obstacle avoidance trajectories,tacit learning,biological learning features,learning systems,vehicles,learning scheme,biology computing,convergence,behavior control,bipedal walking,gait analysis,adaptation,mobile vehicle,environment,adapted behavior,instinctive behaviors,learning process,collision avoidance,reflex motions,living organisms | Obstacle avoidance,Robot learning,Convergence (routing),Behavior control,Mobile vehicle,Artificial intelligence,Instinct,Error-driven learning,Materials science | Conference |
ISSN | ISBN | Citations |
2474-378X | 978-1-4673-4811-9 | 0 |
PageRank | References | Authors |
0.34 | 6 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shingo Shimoda | 1 | 2 | 2.40 |