Abstract
Summary form only given, as follows. Bugs is an artificial neural system which detects motion in an external environment and can be trained by a teacher to react according to a desired strategy. System elements are a hard-wired motion detection network and an adaptive controller network. The motion detection net is based on a model of motion-sensitive ganglia found in rabbit eyes, while the controller learns strategies from a teacher in the form of finite-state transitions. Bugs's subnetworks are integrated by continuous-time dynamics, and elements are synchronized through simple time-scaling parameters. The author reports two experiments in which Bugs learned quite different responses to moving objects.
| Original language | English (US) |
|---|---|
| Pages | 622 |
| Number of pages | 1 |
| State | Published - 1989 |
| Event | IJCNN International Joint Conference on Neural Networks - Washington, DC, USA Duration: Jun 18 1989 → Jun 22 1989 |
Other
| Other | IJCNN International Joint Conference on Neural Networks |
|---|---|
| City | Washington, DC, USA |
| Period | 6/18/89 → 6/22/89 |
ASJC Scopus subject areas
- General Engineering